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37 results about "Economic optimum" patented technology
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The economic optimum is a function of the price of feedstocks, products and intermediate streams as provided by the refinery planning optimization. With lower prices for the product the economically optimum level of inputs goes down.
Combined system energy optimization method with consideration of wind power consumption
InactiveCN107508328APromote development and utilizationImprove wind power absorption capacitySingle network parallel feeding arrangementsEnergy storageNew energyElectric power system
The invention, which belongs to the grid-connected optimization operation field of the new energy, relates to a combined system energy optimization method with consideration of wind power consumption; and thus in order to solve a wind curtailment problem, the combined system energy optimization method uses a cogeneration system based on combined operation of a wind power-electric energy storage-heat accumulating type electric boiler and takes economic optimum as an objective to reduce the wind-curtailment power effectively by increasing the load space. To be specific, the method comprises the following steps: (1), establishing an overall system framework including a conventional thermal power generating unit, a cogeneration unit, a wind turbine generator, an electric energy storage and heat accumulating type electric boiler; (2), carrying out comprehensive modeling of a cogeneration system; (3), establishing an optimal economic objective function; (4), establishing a power and heating power balancing relationship and operational constraints of all units during the operation period of the cogeneration cooperation system; and (5), carrying out optimization for active power outputs of all units. Therefore, development and utilization of the wind power are promoted; and power supply reliability of the power system is improved. The method can be applied to large-scale-wind-power-included provincial companies of all stages and has the broad application prospects.
Owner:NORTHEAST DIANLI UNIVERSITY +2
Room temperature environment control technology based on economic optimum
InactiveCN1561675AMeet the needs of factory productionClimate change adaptationGreenhouse cultivationGreenhouseControl system
A green house environment controlling technique with optimal economic effect features that an optimal control scheme is determined through measuring the growth of crop under some, environmental factors and the environmental factors privoded by temp control system, creating their database and control effect database, calculating the ability to provide the environmental factors and its cost P, calculating the economic yield C of crop, and choosing the maximal C / P value to obtain optimal control scheme.
Owner:JIANGSU UNIV
Tight sandstone gas reservoir development well pattern optimization method
The invention provides a tight sandstone gas reservoir development well pattern optimization method and belongs to the technical field of effective maximum natural gas extraction and geological and gas reservoir engineering and mineral field experiments. The method comprises the following steps: collecting drilling data in a dense area, finely dissecting an effective sand body and determining the length and width of the effective sand body; establishing a no-interference gas well change rule on the basis that the collection production time is long and the fact that well interference does not exist in actual production data of a gas well is proved; determining that a gas-well production interference change rule exists by adopting a numerical simulation technique and on the basis of establishment of a fine geological model; realizing production forecast of two types of gas wells, and establishing a development well pattern optimization model by using gas reservoir development profits as a reference, so as to determine economic limit well pattern density and economic optimum well pattern density of a gas reservoir; establishing a relationship between a gas reservoir recovery ratio and the well pattern density; and determining a reasonable development well pattern for the gas reservoir by comprehensively considering geological requirements, economic conditions and highest recovery ratio expectation, so as to realize optimization of the tight sandstone gas reservoir development well pattern.
Owner:PETROCHINA CO LTD
Precision scheduling method of distributed power supply in microgrid
ActiveCN108494022APrecise economic dispatchImprove stabilitySingle network parallel feeding arrangementsPower balancingPower grid
The invention provides a precision scheduling control method of a distributed power supply in a microgrid. An equivalent frequency control method is embedded in a conventional economic scheduling method to enable power balance conditions to be met under output fluctuation or load fluctuation of the distributed power supply, thereby realizing precise scheduling of the distributed power supply in the microgrid. In such control method, active power and reactive power required by load and the active power and reactive power output by a power generator are balanced; compared with a periodic economic scheduling method in a conventional centralized power system, the method can guarantee precise control of economic scheduling of the micro grid under different operating scenarios; meanwhile, in such control method, different control methods can be applied to meet special control requirements; and the robust economic control method can keep the whole system running under the economic optimum condition when communication failure occurs in a micro grid unit, thereby achieving precise control of micro grid economic dispatch.
Owner:NORTHEASTERN UNIV
Integrated energy system multi-time scale scheduling method in consideration of model predictive control
ActiveCN107732982ARealize optimal schedulingReduce biasLoad forecast in ac networkSingle network parallel feeding arrangementsOptimal schedulingIntegrated energy system
The invention discloses an integrated energy system multi-time scale scheduling method in consideration of model predictive control. The method comprises the following steps: 1) an electric-pneumaticinterconnected integrated energy system network constraint model is built; 2) with economic optimum as an object, an object function under a long time scale is built, and long-time scale optimal scheduling is carried out; 3) with the long-time scale optimal scheduling policy as a reference value, an optimal object function under a short time scale is built; 4) in consideration of three parts of the predictive model, rolling optimization and feedback correction for model predictive control, short-time scale dynamic optimal scheduling is realized; and 5) the performance is tested in the built electric-pneumatic interconnected integrated energy system. The method disclosed in the invention can effectively improve the calculation precision, and the electric-pneumatic interconnected integratedenergy system optimal scheduling policy can be made more accurately.
Owner:HOHAI UNIV
Economics-based coordination of advanced process control and real-time optimization
A system and method for coordinating advanced process control and real-time optimization of a manufacturing process are provided. The system and method receive process data and economic data corresponding to the manufacturing process to be controlled and optimized. Based on the process data, the economic data and a nonlinear steady-state model of the process, an economic objective function is calculated by a real-time optimization module. A reduced-order non-linear approximation of the economic objective function is thereafter calculated by the real-time optimization module and transmitted to an advanced process control module. The advanced process control module utilizes the reduced-order non-linear approximation of the economic objective function to control the manufacturing process towards the constrained economic optimum.
Owner:SHELL USA INC
Online optimization method for crude oil blending on basis of incremental mode
The invention discloses an online optimization method for crude oil blending on the basis of an incremental mode. The method includes the steps of initializing blending task parameters, setting an optimization period, each attribute optimization mode and an objective function weight, obtaining attribute data of each blending component and accumulation blending quality attribute product according to the predetermined optimization period, updating upper and lower limit constraints of a blending head attribute increment, a component formula increment and a component flow increment, obtaining an optimal formula of each blending component of the current optimization period and sending the optimal formula of each blending component of the current optimization period to a blending control systemfor execution. Aimed at a crude oil blending production process of an oil refining enterprise, blended crude oil attribute qualification and the minimum blending cost are used as optimization goals, crude oil attributes can be optimized to the upper limit and the lower limit at the same time, the optimal formulas of the components are calculated according to a certain optimization period, and optimization results are sent to the blending control system for execution to ensure that the attribute quality of the blended crude oil meets the requirements of an atmospheric and vacuum distillation unit while economic optimization is also taken into account, so that real-time optimization of a blending process is achieved, and economic benefits of the oil refining enterprise are increased.
Owner:EAST CHINA UNIV OF SCI & TECH
Overall scheduling and predicting control system and method for large coal fired power plant CO2 capture
ActiveCN110764419AImprove dynamic adjustment qualityAdaptive controlControl systemProcess engineering
The invention discloses an overall scheduling and predicting control system and method for large coal fired power plant CO2 capture. The method comprises steps of selecting a main control variable anda controlled variable of a model according to a running characteristic of the overall system of coal fired power plant CO2 capture; and first, considering constraints like feed-in tariff, CO2 emission price, main vapor temperature and so on, establishing economic performance indicators for the overall system of coal fired power plant CO2 capture, calculating the most economic target value under the current condition, and then building a model prediction controller based on a status space so as to track the optimal target value. The method not only makes the overall system of the coal fired power plant CO2 capture most economic but also can handle the long delay characteristic of the CO2 capture system effectively, thereby improving dynamic adjusting quality of the output side and enablingthe control system to meet industrial site requirements.
Owner:JIANGSU FRONTIER ELECTRIC TECH +1
Computer apparatus and method for real-time multi-unit optimization
A method and system for real-time optimization of a process which is scheduled using a single-period or multi-period, steady-state planning model and optimization program which can be a Linear Program (LP) or Non-Linear Program (NLP), and is controlled by means of linear or non-linear multivariable constraint controls (MVC). A steady-state model based on first principles of chemistry and physics of a plant is applied with a non-linear optimizer to calculate the optimum operating point of said oil refinery at any desired frequency such that the refinery can be considered to be operating in steady-state. The economic optimum is a function of the price of feedstocks, products and intermediate streams as provided by the refinery planning optimization. The solution is implemented automatically by linear or non-linear multivariable constraint controllers operating each of the processing units of said plant.
Owner:MFG TECH NETWORK
Power storage capacity allocation method in consideration of microgrid grid-connected and off-grid switching
ActiveCN108616134AIn line with the nature of the operationIn line with investment thinkingSingle network parallel feeding arrangementsAc network load balancingMicrogridThermal energy storage
The invention relates to a power storage capacity allocation method in consideration of microgrid grid-connected and off-grid switching. The method comprises the following steps: according to data fitting, the relationship between capacity and a discharge rate of a selected lithium battery, the relationship between output and the discharge rate and the relationship between a cycle life and the discharge rate are obtained; in the case of off grid, according to an operation strategy, the power of energy storage and a diesel generator under different operation conditions is solved; in the case ofgrid connection, according to an operation strategy, the power of energy storage and a tie line under different operation conditions is solved; and according to the power of the energy storage and the diesel generator and the power of the energy storage and the tie line, the energy storage power and the capacity are calculated; economic modeling in the case of off grid and grid connection is carried out; and with the economic optimum as a target and with a load shedding rate and load shedding expectation as indexes, the energy storage and the diesel generator capacity are changed at a fixed step size for optimization so as to obtain the optimal energy storage and the optimal diesel generator capacity. The power demands can be greatly reduced.
Owner:DONGHUA UNIV
System of optical storage source and water vapor energy heat pump based on peak-valley price difference and grid-connected control method thereof
ActiveCN107147148AAchieve energy saving and emission reductionReduce electricity purchase costFlexible AC transmissionClimate change adaptationLow voltageElectrical battery
The invention relates to a system of an optical storage source and a water vapor energy heat pump based on a peak-valley price difference and a grid-connected control method thereof. The system comprises a photovoltaic system, an optical storage operation control module, a battery energy storage system, the water vapor energy heat pump, a DC bus, a low voltage side AC bus, and an AC distribution network; the photovoltaic system and the battery energy storage system are connected with the DC bus after being subjected to DC / DC transformation respectively; the photovoltaic system and the battery energy storage system are connected with the low voltage side AC bus after being subjected to DC / AC transformation respectively; and the water vapor energy heat pump and a residential power load are respectively connected to the low voltage side AC bus. The system of the optical storage source and the water vapor energy heat pump based on the peak-valley price difference provided by the invention develops an operation scheduling strategy of the optical storage source and the water vapor energy heat pump based on the peak-valley price difference, and realizes the purposes of household energy saving and emission reduction and reducing the household electricity purchasing cost to achieve economic optimum.
Owner:湖南德沃普电气股份有限公司
Economics-based coordination of advanced process control and real-time optimization
A system and method for coordinating advanced process control and real-time optimization of a manufacturing process are provided. The system and method receive process data and economic data corresponding to the manufacturing process to be controlled and optimized. Based on the process data, the economic data and a nonlinear steady-state model of the process, an economic objective function is calculated by a real-time optimization module. A reduced-order non-linear approximation of the economic objective function is thereafter calculated by the real-time optimization module and transmitted to an advanced process control module. The advanced process control module utilizes the reduced-order non-linear approximation of the economic objective function to control the manufacturing process towards the constrained economic optimum.
Owner:SHELL USA INC
A well pattern optimization method for tight sandstone gas reservoir development
The invention provides a tight sandstone gas reservoir development well pattern optimization method and belongs to the technical field of effective maximum natural gas extraction and geological and gas reservoir engineering and mineral field experiments. The method comprises the following steps: collecting drilling data in a dense area, finely dissecting an effective sand body and determining the length and width of the effective sand body; establishing a no-interference gas well change rule on the basis that the collection production time is long and the fact that well interference does not exist in actual production data of a gas well is proved; determining that a gas-well production interference change rule exists by adopting a numerical simulation technique and on the basis of establishment of a fine geological model; realizing production forecast of two types of gas wells, and establishing a development well pattern optimization model by using gas reservoir development profits as a reference, so as to determine economic limit well pattern density and economic optimum well pattern density of a gas reservoir; establishing a relationship between a gas reservoir recovery ratio and the well pattern density; and determining a reasonable development well pattern for the gas reservoir by comprehensively considering geological requirements, economic conditions and highest recovery ratio expectation, so as to realize optimization of the tight sandstone gas reservoir development well pattern.
Owner:PETROCHINA CO LTD
Comprehensive energy system planning method considering dynamic multi-energy demand response
PendingCN112883571ALow costDesign optimisation/simulationConstraint-based CADIntegrated energy systemControl engineering
The invention discloses a comprehensive energy system planning method considering dynamic multi-energy demand response. The method comprises: establishing dynamic multi-energy demand response model; according to the dynamic multi-energy demand response model, establishing an economic optimal planning model of the integrated energy system considering the dynamic multi-energy demand response; and solving the economic optimal planning model of the comprehensive energy system considering the dynamic multi-energy demand response to obtain a response scheme of the dynamic multi-energy demand response in the comprehensive energy system. According to the method, a nonlinear cost curve can be considered, meanwhile, the influence of the demand response in which multiple energy sources participate is considered, and the economic optimal planning model of the comprehensive energy system considering the dynamic multi-energy demand response is proposed on the basis, so that more serious economic losses of different load loss capacities can be well reflected; and different optimal load response quantities and optimal compensation prices can be determined according to the method, so that the total cost of the comprehensive energy system is further reduced.
Owner:STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JIAXING POWER SUPPLY CO +1
Optimal distribution method and system for pollution loads entering river
ActiveCN111597693AStrong theoreticalIncrease upper and lower limitsGeneral water supply conservationForecastingBackground concentrationsPollutant emissions
The invention discloses an optimal distribution method and system for pollution loads entering river, and belongs to the technical field of pollutant discharge total quantity control, and the method comprises the steps: collecting original data of a to-be-studied region water body and cost data needed by each pollution source to reduce pollutants, and building a hydrodynamic water quality model through the original data; determining the background concentration of a target assessment section of the to-be-studied area; when one pollution source is controlled to be discharged each time, utilizing the hydrodynamic water quality model to calculate the target assessment section concentration after the pollution source is discharged; calculating a pollution contribution coefficient of each pollution source unit load according to a partition standard reaching method; and performing total quantity distribution by adopting a partition standard reaching method, establishing an optimal distribution model in combination with the cost data required for reducing the pollutants by each pollution source, and determining a total quantity distribution scheme of the river or the river surge in the to-be-researched area. According to the method, assessment section standard reaching and economic optimization are considered at the same time, and economic cost is saved.
Owner:中节能国祯环保科技股份有限公司
Electricity-gas-heat energy storage collaborative planning method and system considering wind power uncertainty
ActiveCN112862253ASimplify source-load interweaving relationshipForecastingSingle network parallel feeding arrangementsProcess engineeringWind field
The invention discloses an electricity-gas-heat energy storage collaborative planning method and system considering wind power uncertainty. The method comprises the steps: carrying out the classification processing of wind power historical data according to seasons, and obtaining a finite number of typical scene sets with a set probability; for each scene, considering energy conversion relation constraints of an electric load, a gas load and a thermal load, and establishing an electric-gas-thermal multi-type energy storage collaborative planning model by taking economic optimization as a target; and solving the model to obtain an optimal planning result considering the uncertainty of the wind field. According to the method, the wind power uncertainty model is established by adopting a scene method from the time dimension and by taking seasons as scene distinction. A scene in one year is decomposed into typical scenes in different seasons. In a wind power typical scene, economy and flexibility of the multi-energy storage planning method are verified.
Owner:SHANDONG UNIV
Method for determining optimal cement mixing amount of cemented soil stiff composite pile
PendingCN114662296AReduce consumptionGeometric CADDesign optimisation/simulationSoil scienceSoil cement
The invention belongs to the technical field of foundation treatment and pile foundation engineering, and relates to a method for determining the optimal cement mixing amount of a cemented soil stiff composite pile. The method comprises the steps that a first cemented soil stiff composite pile is manufactured under the initial mixing amount; drawing an unconfined compressive strength curve graph; the vertical ultimate bearing capacity of the pile body of the first cemented soil stiff composite pile is detected, and the damage form of the pile body is observed; the cement mixing amount is adjusted through a damage form, a pile is formed again, a second cemented soil stiff composite pile is manufactured, a field load test is carried out, the damage form is changed, drawing is carried out with the vertical ultimate bearing capacity as the longitudinal axis and the unconfined compressive strength as the transverse axis, and the optimal cement mixing amount is determined; the vertical bearing capacity of the pile type can meet the design requirement, meanwhile, the economic optimum and environment protection principle is considered, and cement consumption is greatly reduced.
Owner:ZHONGBEI UNIV
Peak shifting scheduling method based on power supply enterprise big data model base
The invention relates to a peak shifting scheduling method based on a power supply enterprise big data model base. The peak shifting scheduling method comprises the following steps: S1, calling an off-peak scheduling model in an off-peak scheduling model library; S2, training data are acquired to train the peak shifting scheduling model, and updating of a peak shifting scheduling model library isachieved; S3, performing electric power peak shifting scheduling by using the trained peak shifting scheduling model, wherein the peak shifting scheduling model library comprises a hierarchical grouping scheduling model and an economic optimal scheduling model; performing hierarchical grouping on the electricity users according to the peak prevention sequence table and the total peak prevention load amount via the hierarchical grouping scheduling model. Compared with the prior art, the economic optimal scheduling model takes the composite optimization of the economy of the power company and the user as the target, the target functions during the training of the economic optimal scheduling model comprise the economy target function and the reliability target function and therefore the method has the advantages of improving the scheduling effectiveness and practicability and the like.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
Overall planning optimization algorithm for monthly electricity market and day-ahead market
PendingCN112270443AImprove solution efficiencyReduce electricity purchase costForecastingResourcesElectricity priceLoad forecasting
The invention discloses an overall planning optimization algorithm for a monthly power market and a day-ahead market, and the algorithm comprises the steps: carrying out the risk analysis of the uncertainty of load prediction, introducing the risk cost into an economic optimal optimization function, carrying out the linear transformation of a nonlinear constraint condition, and achieving the optimization solution. The algorithm is used for overall planning and arranging electricity purchasing strategies of the monthly electricity market and the day-ahead market, the solving efficiency is improved, in the monthly electricity market, the electricity price is the electricity price of bilateral transaction, in the day-ahead market, the electricity price is changed per hour, the price is determined by the market clearing price of each transaction time period, and the price of each transaction time period is determined by the market clearing price. If the electricity purchasing quantity of the day-ahead market and the monthly electricity market exceeds the actual electricity quantity, the unexecuted electricity contract is punished. According to the overall planning optimization algorithm, the problems of large prediction error and unbalanced supply and demand of the two markets are solved through calculation, the transaction strategy of overall arrangement of the monthly electricitymarket and the day-ahead market is realized, and reference is provided for organizers of the electricity market.
Owner:JIANGSU ELECTRIC POWER CO +1
Configuration and strategy formulation method of electrochemical energy storage system based on battery decay
ActiveCN111697603BLow costReduce peak loadPower network operation systems integrationAc network load balancingElectrical batteryControl engineering
The invention provides a method for configuration and strategy formulation of an electrochemical energy storage system based on battery attenuation, which is suitable for large industrial users. Extract the typical daily load and extract the maximum monthly demand value; obtain the real-time electricity price of large industrial users every month; based on the battery attenuation characteristics, establish the economic model of the electrochemical energy storage system; the economics of the electrochemical energy storage system The model includes the annual peak and valley income model, the annual demand income model, the battery annual attenuation model and the initial investment cost model of the electrochemical energy storage system; set constraints; take the economical optimization as the objective function, and use the genetic algorithm to optimize. The invention considers the attenuation characteristics of the battery, provides the income and economy of the energy storage system closer to the actual operation, and provides favorable conditions for the large-scale industrialization of the energy storage technology.
Owner:西安联创分布式可再生能源研究院有限公司
Electric power market clearing control method, device and system
PendingCN113935778AImprove market stabilityMarket predictionsGeneral water supply conservationData setElectricity market
The invention discloses a power market clearing control method, device and system. The device comprises a data acquisition unit, a price calculation unit and a clearing control unit. The system comprises a clearing control module, a data management module and a user interaction module. Modeling is carried out according to a preset hydropower market clearing model set, the government standard price data set, the self-declaration hydropower price data set, the self-declaration thermal power price data set and the hydropower clearing data set, and an economic optimal solution of the model set is obtained through a preset constraint condition set; then, the settlement price of the water and electricity in transportation is calculated through the preset price difference settlement formula, clearing control is carried out on the electricity market according to the settlement price of the water and electricity in transportation and the preset market control method, and the market clearing control method, device and system improve the market stability on the premise of bidding the hydropower and thermal power on the same platform in the electricity.
Owner:广西电力交易中心有限责任公司
On-line optimization method of crude oil blending based on incremental mode
Owner:EAST CHINA UNIV OF SCI & TECH
Multi-time-scale scheduling method for integrated energy systems considering model predictive control
ActiveCN107732982BReduce biasAccurate guidanceLoad forecast in ac networkSingle network parallel feeding arrangementsIntegrated energy systemOptimal scheduling
The invention discloses a multi-time-scale scheduling method for an integrated energy system considering model predictive control, which includes the following contents: 1) Establishing a network constraint model of an electrical-gas interconnected integrated energy system; 2) Establishing a long-term scale with the goal of economic optimization 3) Using the long-term optimal scheduling strategy as a reference value, establish an optimal objective function in the short-term scale; 4) Consider the prediction model of model predictive control, rolling optimization, and feedback correction 5) Test its performance in the established electrical-gas interconnected integrated energy system. The method provided by the invention effectively improves the calculation accuracy, and can more accurately formulate the optimal scheduling strategy of the electric-gas interconnection comprehensive energy system.
Owner:HOHAI UNIV
A Precise Dispatch Method Based on Distributed Power in Microgrid
ActiveCN108494022BPrecise economic dispatchImprove stabilitySingle network parallel feeding arrangementsPower balancingMicro grid
The present invention proposes a precise dispatch control method based on distributed power sources in microgrids. It embeds a peer-to-peer frequency control method in the traditional economic dispatch method so that the power balance conditions are satisfied when the output of distributed power sources fluctuates or the load fluctuates. Realize precise dispatch of distributed power sources in microgrids. In this control method, the active power and reactive power required by the load are balanced with the active power and reactive power generated by the generator; compared with the periodic economic dispatch method in the traditional centralized power system, this method can ensure micro The power grid achieves precise control of economic dispatch under different operating scenarios. At the same time, in this control method, different control methods can also be applied to meet special control needs. Moreover, the robust economic control method of the present invention can also keep the entire system operating under optimal economic conditions when communication failure occurs in the microgrid unit, thereby achieving precise control of the economic dispatch of the microgrid.
Owner:NORTHEASTERN UNIV LIAONING
Economic design method for variable sampling interval and sample capacity EWMA control chart under non-normal distribution
InactiveCN113379140AImprove monitoring efficiencyReduce monitoring costsMarket predictionsForecastingControl theoryComputer science
The invention relates to an economic design method for a variable sampling interval and sample capacity EWMA control chart under non-normal distribution, and aims so solve the problem that, in the prior art, the economic design of an EWMA control chart considers a variable sampling interval (VSI) or a variable sample capacity (VSS), but the economic design of an EWMA control chart of a variable sampling interval and sample capacity (VSSI) under the condition of non-normal distribution is not considered at the same time. The invention provides a corresponding economic design method aiming at the complex situation and provides a detailed design flow. Through the design of the invention, the monitoring cost of a process can be reduced while the monitoring efficiency is improved, the unit time cost of the designed VSSI non-normal EWMA control chart economic model is expected to be smaller than that of VSI and VSS non-normal EWMA control charts in each group of experiments, and the economic optimality is realized.
Owner:ZHENGZHOU UNIVERSITY OF AERONAUTICS
A joint scheduling method of wind, water and storage
ActiveCN109245169BIncrease profitSolve problems that are not strongSingle network parallel feeding arrangementsPower oscillations reduction/preventionWater storageNew energy
The invention discloses a combined dispatching method of wind, light and water storage, which comprises the following steps: 1, establishing an economic optimal objective function of the combined system of wind, light and water storage; 2, establishing that constraint conditions of the wind-light-water-storage combine system; 3, obtaining the optimal solution set of the optimized operation; A complementary output system is established, and a model is proposed to optimize the operation cost of the system. The complementary system can effectively compensate the fluctuation of new energy output,provide more stable electric power to the grid, improve the utilization rate of new energy, reduce the output adjustment of thermal power units, reduce the operating cost of the system, and provide aneffective way to solve the problem of wind, solar and water storage dispatching. The invention solves the problem that the power grid of the prior art is not strong in absorbing new energy.
Owner:GUIZHOU POWER GRID CO LTD
Electricity-gas interconnection system scheduling method considering carbon transaction mechanism and computer equipment
PendingCN113988669AEmission reductionFull consumptionFinanceForecastingIntegrated energy systemParticle swarm algorithm
The invention belongs to the field of comprehensive energy system optimal scheduling, and relates to an electricity-gas interconnection system optimal scheduling method considering a carbon transaction mechanism, which comprises the following steps: establishing a target function of an electricity-gas combined system model according to wind power generation data, power load data, natural gas output data and the carbon transaction mechanism; solving the objective function of the electricity-gas combined system model to obtain a start-stop state variable and output of each unit; and scheduling the electricity-gas interconnection system according to the start-stop state variable and the output of each unit. According to the method, the improved particle swarm optimization algorithm is adopted to solve the model, and the solving result shows that on the premise that the obtained optimization scheduling strategy meets the load requirement of the system, the coupling equipment output in the system is reasonably scheduled, economic optimization of the system can be achieved, the total carbon emission of the system can be reduced, and the method is a reasonable optimized scheduling strategy.
Owner:ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
Fragmented prefabricated assembly type mixed tower design method considering mold universality
PendingCN114718816ATo achieve universal adaptationGuaranteed versatilityFinal product manufactureWind motor assemblyPre stressTower
The invention provides a split prefabricated assembly type mixed tower design method considering mold universality, which comprises the following steps of: determining a mixed tower body type and a mold system of a reference item according to basic conditions such as unit parameters, hoisting equipment and load level by taking whether the bearing capacity of each section, the tower frequency and the blade clearance meet design requirements as a criterion; unit parameters and fan loads of a new project and a reference project are compared, on the premise that conicity is guaranteed to be consistent, it is guaranteed that most tower drum sections in the middle are not changed in the mode that a plurality of concrete tower drum sections are increased (or decreased) downwards (or upwards), so that the purpose of mold universality design is achieved, and through fine adjustment of the concrete strength grade, the number of prestressed tendons and the like, the product yield is improved. And the economic optimization effect of the design scheme is realized. The method can meet the design requirements of tower barrels with different heights and wind turbine generators with different load levels, is efficient in design, saves the cost, and is a better technical scheme for the universality design of the prefabricated mixed tower.
Owner:POWERCHINA HUADONG ENG COPORATION LTD
Microgrid real-time optimization scheduling method based on day-ahead economic optimal operation plan
The invention discloses a micro-grid real-time optimization scheduling method based on a day-ahead economic optimal operation plan, and the method sequentially comprises the following steps: S1, building power generation unit models which comprise power generation models of a gas turbine, a wind driven generator and a photovoltaic power generation unit; s2, making a day-ahead economic optimal operation plan, and constructing an optimization model comprising load balance constraints and equipment operation constraints; and S3, performing real-time correction and rolling scheduling based on the real-time optimization scheduling of the micro-grid of the day-ahead economic optimal operation plan to ensure that the generating capacity and the load are kept balanced during operation and improve the operation economy of the system. The micro-grid real-time optimization scheduling method based on the day-ahead economic optimal operation plan has the advantages that the economy of the day-ahead operation plan can be kept to the maximum extent under the condition of meeting power balance through a two-stage real-time correction and rolling scheduling technology on the basis of the day-ahead economic optimal operation plan.
Owner:WENZHOU ELECTRIC POWER BUREAU +1
Variable load control and optimization method for air separation liquefaction device
PendingCN113378356AImprove efficiencyGood economic valueGeometric CADDesign optimisation/simulationExchange networkModelSim
The invention discloses a variable load control and optimization method for an air separation liquefaction device. The method comprises the following steps: 1) establishing a process model according to a field process of the air separation device; 2) determining parameters of each device in the process model by using field working conditions of the air separation unit; 3) establishing an equivalent heat exchange network to replace a multi-stream heat exchanger model by using an SW superstructure modeling method; 4) establishing an economic optimization proposition based on the equipment operation flexibility and the device production condition; 5) listing boundary conditions related to key operation variables of the air separation unit; 6) taking the air separation unit simulation data as a sample set, and establishing a proxy model of the key operation variables by adopting a CAD method; and 7) solving an optimal proposition. According to the variable load control and optimization method for the air separation device, the implementation process is simple, operation is convenient, and better economic value is achieved.
Owner:ZHEJIANG UNIV OF TECH
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