30results about How to "Improve the utilization rate of wind power" patented technology

The invention discloses a multi-target dynamic scheduling method for a wind storage hydrothermal power system based on multi-source complementation, and the method comprises the following steps: 1, building a multi-target dynamic economical scheduling model: 1.1, building four optimization targets: take the minimum thermal power coal consumption, the minimum thermal power output adjustment volume, the maximum thermal power generation and the minimum load fluctuation after the thermal power is inputted to a power grid; 1.2, determining the constraint conditions of the four optimization targets; 2, carrying out the weighting and conversion of the four optimization targets, and obtaining a target function F of the multi-target dynamic economical scheduling model; 3, combining with the target function F, and solving the multi-target dynamic economical scheduling model through employing the improved plant growth simulation algorithm. According to the invention, the method gives full consideration to the economical performance and stability of thermal power operation, the utilization rate of the wind power and hydropower and the adjustment effect of a pumped storage power station, and guarantees the economical performance and stability of operation of the thermal power generating unit while promoting the consumption of the wind power.

The invention relates to an electric vehicle optimal scheduling method with consideration of power grid reserve capacity allocation and a wind power utilization rate. The method comprises the steps of (1) generating a plurality of scene sets comprising 24 hours based on an ARMA model, using a Kantorovich distance to reduce the scene set to obtain electric vehicle charging and discharging load under a typical scene and a sequence of wind power output, and (2) based on established electric vehicle optimal scheduling model and constraint conditions of optimizing power grid positive and negative standby configuration, considering an electric vehicle discharge characteristic, through a price incentive mechanism, scheduling electric vehicle charging and discharging time, allowing an electric vehicle to discharge in low power and abandon power in wind abandoning, the configuration of system positive and negative reserve, and improving wind power utilization rate. So, the power grid positive and negative reserve capacity configuration can be reduced, the temporary shortage of power supply is eliminated, the utilization of wind power is improved, and a decision support is provided for the economical and safe utilization of power grid reserve power and wind power to a maximum.

The invention discloses an apparatus and a method of independent wind power driven seawater desalination. The method comprises the steps that: step one, establishing an independent grid: an independent grid is established through a bi-directional inverter by using electric energy from a storage battery; step two, wind power grid-connecting: electric energy generated from each aerogenerator is delivered to the independent grid through aerogenerator controllers and grid-connecting inverters; step three, load connecting: water supplying pumps, high pressure pumps and reverse osmosis membrane components are connected to form independent membrane modules, load circuits of the independent membrane modules are connected in parallel, and then connected to an electric output of a power system; step four, system coordination dynamic controlling. Previously, wind power driven seawater desalination requires large capacity storage batteries for ensuring the stability of power supply. With the present invention, the technical problem is solved, and a novel independent wind power driven seawater desalination mode is provided. According to the present invention, energy cost in fresh water producing with the present apparatus is substantially lower than that with systems of other similar types. Thus, the apparatus and the method have good prospect to be developed and applied in the field of seawater desalination.

The invention relates to an operation and control method of a large-scale wind turbine generator in a micro grid system. The operation and control method of the large-scale wind turbine generator in the micro grid system includes the following steps: A. real time anemometry data in a dispatching cycle are collected; B. according to the real time anemometry data collected by the step A, an actual power curve of the wind turbine generator is combined, an ultra-short period wind power predictive value Pt, avg_wind is obtained, and a wind power range in the next dispatching cycle is further confirmed; C. according to the ultra-short period wind power predictive value, a real-time load demand, other distributed power output situations and an optimal control management strategy are combined, and a wind power optimal value Pt+1, sys_wind which can be accepted by the micro grid system in the next dispatching cycle is confirmed. According to the operation and control method of the large-scale wind turbine generator in the micro grid system, meteorological data of a wind field are not needed and a passive unloading box are not needed. The operation and control method of the large-scale wind turbine generator in the micro grid system can be integrated on a micro energy control management system or a supervisor system and is good in practicability and economical performance.

The invention relates to an operation optimization method and device of a combined heat and power generation unit for improving the wind power utilization rate. The method comprises the steps of building a heat-power output relationship model of the combined heat and power generation unit and determining a heat output adjusting range of the combined heat and power generation unit; and executing heat-power output joint optimization within the heat output adjusting range of the combined heat and power generation unit and outputting an optimal solution of the operation mode of the combined heat and power generation unit. The operation mode of the heat and power generation unit is adjusted through the method, the output of the heat and power generation unit is optimized, and the wind power utilization rate is significantly improved on the premise of ensuring fixed residential heating quality.

The invention discloses a two-stage source-load dispatching method and device considering peak regulation and climbing requirements. The dispatching method comprises the following steps: partitioning a net load curve according to the inflection points of the net load curve; analyzing the peak regulation requirement of a power system and the climbing requirement of each time interval based on the net load curve; optimizing each partition of the net load curve by utilizing a stage excitation type requirement response optimization model; after all partitions are computed, outputting the optimized load curve; based on the optimized load curve, carrying out advance dispatching by utilizing a two-stage dispatching model; and when the optimized dispatching result meets all constraint conditions, outputting the dispatching result. The dispatching device comprises a partitioning module, an analysis module, a first optimization module, a first output module, a dispatching module and a second output module. The two-stage source-load dispatching method and device can effectively increase the wind power utilization ratio and are suitable for actual dispatching of a power system with large-scale wind power.

The invention discloses a power generation cost constraint-based multi-domain scheduling method considering an energy storage power system and belongs to the technical field of power system scheduling. By utilizing the scheduling characteristic of a transferable load of the energy storage system, an important role of flexible scheduling can be played in the actual scheduling of the power system. The multi-domain scheduling method is provided from the perspective of flexible scheduling of source storage, influence of factors such as load, wind power output random fluctuation and system regulation capability is comprehensively considered, and all regulation capacities in the system are uniformly scheduled and redistributed into three control domains, namely a normal domain taking complete wind power consumption as a target, an abnormal domain needing to call an energy storage system to consume wind power, and an emergency domain without regulation capability and forced wind curtailment.Under different domains, through reasonable matching of a conventional thermal power generating unit and an energy storage system, multi-domain economic dispatching is achieved with maximum clean energy consumption as the target.

The invention discloses a wind power consumption coordination control method based on fused magnesite load. The method comprises the following steps of: predicting a day-ahead wind power output curve, taking the fused magnesite load as a controllable load during day-ahead scheduling on the basis of the actual production and operation conditions of the fused magnesite load, regulating and controlling a high-energy-consumption load in a wind curtailment period, taking the minimum sum of whole-day wind curtailment amounts in the next day as an optimization target, introducing upper and lower limit constraints of the power of the fused magnesium load, an adjustment duration constraint, an adjustment frequency constraint and operation constraints of wind power and thermal power into constraint conditions, and conducting optimization calculation to obtain the adjustment amount of the fused magnesium load in each time period so as to realize wind power consumption. According to the invention, the load operation characteristics and the production process of the fused magnesite are fully utilized, a coordination control strategy for changing the load curve of the fused magnesite is provided, an existing fused magnesite controllable load on a load side is utilized under the condition that other auxiliary equipment is not increased, a positive effect on reduction of a wind curtailment electric quantity is achieved, and the utilization rate of wind power is increased.

The invention discloses a cooperative operation system for wind power generation, pumped storage power generation and hydraulic supply. The cooperative operation system comprises a wind power generation system, a pumped storage power generation system, a hydraulic supply system and a coordinated control processing device; power supply circuits are arranged between an electric energy output end ofthe wind power generation system and a power source input end of a pumped storage water pump and between the electric energy output end of the wind power generation system and a power source input endof a water tower water pump respectively; the coordinated control processing device is used for calculating the remaining power generation amount of the wind power generation system and controlling the on and off of each power supply circuit according to the remaining power generation amount and running of the pumped storage water pump and a water tank water pump, so that the remaining power generation of the wind power generation system provides a working power source for the water tank water pump or the pumped storage water pump, and the priority of the water tank water pump for utilizing the remaining power generation amount is higher than that of the pumped storage water pump. The cooperative operation system can increase the utilization rate of wind power, reduce wind curtailment andadjust the peak and fill the valley through pumped storage at the same time; the problem of low water pressure of high-rise households in a water use peak period can be solved.

The invention provides a wind power sea water desalination integrated system for an isolated grid. The wind power sea water desalination integrated system comprises a power system, a control integrated system and a sea water desalination system. The power system supplies power to sea water desalination devices by optimized dispatching of the control integrated system. The control integrated system is used for controlling the power system. The power system comprises wind turbine generators, at least one energy storage system and diesel generators. The control integrated system is used for controlling the power system. The sea water desalination system comprises the sea water desalination devices. The wind turbine generators, the energy storage systems, the generators and the sea water desalination devices are connected to the micro-grid in parallel. The system solves the problem that energy consumption of traditional sea water desalination industry is high, and the technical problems that an existing sea water desalination device adopting wind power energy needs to use a large number of storage batteries, electricity energy loss is high, maintenance is difficult and cost is high.

A method for improving the utilization rate of wind power by using hybrid energy storage. The method combines a battery pack, a flywheel energy storage, a supercapacitor, and a pumped storage power station into a hybrid energy storage device, which is divided into a DC part and an AC part to be applied to a wind farm, and uses an energy management system to formulate strategies to control the charging-discharging of the hybrid energy storage device and improve the utilization rate of wind power. The battery pack, the flywheel energy storage, and the supercapacitor form the DC part. The pumpedstorage power station forms the AC part. The energy-type and power-type energy storage devices are combined to further improve the overall performance of the energy storage device. Wind-driven generation power fluctuation is non-linear and is coverted according to the Hilbert frequency to calculate the low-frequency, intermediate-frequency and high-frequency fluctuations, which correspond to the power distribution among the battery pack, the flywheel energy storage, and the super capacitor of the DC part so as to stablize the real-time output fluctuation of the wind farm and improve power quality. When the wind power has a large fluctuation rate, the storage capacity of the pumped storage power station with a large capacity is used for peak shaving, which directly improves the utilizationrate of wind power. The hybrid energy storage device can effectively suppress the wind power fluctuation, achieves peak shaving, and finally achieve the purpose of improving the utilization rate of wind power.

The embodiment of the invention discloses a method for optimizing the capacity configuration of an electric vehicle substation in a virtual power plant. The method includes taking the battery system capacity of the electric vehicle substation, the rated power of PCS and the planned charging and discharging power of the electric vehicle substation in each period as decision variables, the actual power of the wind farm and the actual power exchange demand in each period as stochastic variables to establish the capacity optimal allocation model of the electric vehicle substation; determining theoptimal battery system capacity and PCS rated power by the optimal objective of the capacity optimization model, which is to maximize the probability of the unsatisfied power index, the abandoned windpower index and the annualized income index. The method fo the invention comprehensively considers factors such as battery, PCS price, valley peak power price and the like, determines the capacity configuration of battery system and PCS, thereby guiding the capacity configuration of electric vehicle substation, and effectively improving the feasibility of planning results in actual operation.

The invention discloses an electric heating comprehensive energy system double-layer planning method, and belongs to the technical field of clean heating and refrigeration, energy system capacity planning and operation scheduling. Based on the operation principle of each unit contained in the electric heating comprehensive energy system, a double-layer planning model of a capacity planning and operation scheduling strategy is established by taking the minimum new construction cost of the cold and heat double-storage type heat pump and the minimum operation cost of the electric heating comprehensive energy system as upper-layer targets and taking the minimum electricity consumption cost as a lower-layer target according to an electric heating and cooling load supply and demand relationship.And the double-layer planning model is solved through an intelligent algorithm, thus planning the capacities of the thermal power generating unit, the combined cooling heating and power generation unit, the heat pump unit and the cooling and heating double-storage device and the installation place of the cooling and heating double-storage type heat pump; lower-layer operation scheduling is performed with the lowest power consumption cost based on the capacity planning and unit operation constraints obtained by the upper layer. The investment cost and the operation cost of the system can be reduced, the wind curtailment electric quantity of the system is reduced, and the electricity cost of users is reduced.

The invention discloses a wind farm power generation capacity control method which comprises adding a rotational kinetic energy reserve constraint condition as a penalty function to a power generationcapacity objective function to obtain a fitness function; calculating a fitness value corresponding to each individual according to the measured real-time wind speed of each wind turbine generator asper a fitness function; determining the individual optimal fitness value and the overall optimal fitness value corresponding to each individual; conducting iteration updating on the speed and the position of each individual according to the optimal fitness value and the overall optimal fitness value of each individual to obtain the overall optimal position; controlling a converter and a variablepitch controller of each wind turbine generator according to the overall optimal position. The rotating kinetic energy storage is utilized as conditions, the power generation capacity is maximized, and the wind energy utilization rate is improved. The invention discloses a wind farm power generation capacity control system and device and a computer readable storage medium with the above advantages.

The invention provides a real-time scheduling method and system for a wind curtailment transaction, and the method comprises the steps: collecting a wind power prediction result, and calculating and publishing wind curtailment information according to the wind power prediction result and a wind power acceptance capability; enabling The electric power transaction scheduling platform to carry out electric power subscription according to the issued wind curtailment information; And determining a power dispatching plan according to the power subscription information. According to the scheme, the wind curtailment electric power which can be used for electric heating is fully considered, through the scheme, clean heating of wind curtailment electric power cross-regional levels and cross-regionaltransactions under the same regional level is achieved, the utilization rate of wind energy and electric energy is greatly improved, and the scheme is an effective measure for solving new energy consumption and promoting green low-carbon development.

The invention relates to a wind farm active power control method considering alternative trading of wind power and thermal powder, which is technically characterized by comprising the steps of 1, establishing a wind and thermal power alternation scheme model Mi; 2, setting a control mode of the model Mi, control parameters of an allocation algorithm, and output limit values of thermal power plantor a thermal power unit; 3, calculating power generation capacity delta pi vacated from the thermal power plant in the wind and thermal power alternation scheme model Mi; 4, allocating the power generation capacity delta pi, vacated from the thermal power plant in the wind and thermal power alternation scheme model Mi, to wind farms in the model Mi; 5, calculating active power control commands according to calculating results of a virtual load rate; 6, issuing the wind farm active power adjustment commands, acquired by calculating, to the wind farms for execution. The method herein has the advantages that the demand for alternative trading of wind power and thermal power can be responded to in real time, a most suitable control strategy is applied to wind farm reactive power, execution ofa wind and thermal power alternative trading plan is guaranteed for each wind farm, and fair scheduling among the wind farms is considered.

The invention discloses a regional multi-microgrid power distribution network interaction method by considering wind power consumption. The method comprises the steps of: establishing a regional multi-microgrid-power distribution network energy transaction multi-objective optimization model, and minimizing the total power consumption cost of multiple microgrids while maximizing the profit of a regional multi-microgrid operation main body by adopting the multi-objective optimization model; adopting a peak-valley electricity price user response model to simulate the electricity price response degree of each microgrid; adopting a random variables [alpha]n and t to describe the uncertainty of fan output, and introducing adjustable parameters [beta]n and t to ensure the economy of an electricity price scheme; and constraining the system power balance, the energy storage power and an SOC state. The method is used for solving the problem that an interaction relationship between the microgridsand the power distribution network is not considered in the prior art, achieves that the multiple microgrids are coordinated to perform load translation of the whole situation meeting the system, assist the power distribution network in peak clipping and valley filling, improves the wind power utilization rate in the microgrids, reduces the total power utilization cost of the microgrid group, relieves the operation pressure of the power distribution network and achieves the purpose of good interaction between a regional multi-micro-grid system and power distribution network friends.

The invention discloses an underwater data center arranged and powered by an offshore fan. The invention arranges the data center server in the seawater environment to realize the heat dissipation and cooling of the data center, and greatly reduces the initial investment of the cooling system of the data center and the power consumption of the air conditioning system during the operation period; The main and shore-based power grid is an auxiliary backup, making full use of offshore renewable energy, and greatly reducing the power supply of the data center; the underwater data center of the present invention relies on the existing offshore wind turbine pile foundation structure in layout.

The present invention provides an integrated system for seawater desalination of isolated grid wind power, including a power system, a control integration system and a seawater desalination system. The system is used to control the power system; the power system includes wind turbines, at least one set of energy storage systems, and diesel generators; the integrated control system is used to control the power system; the seawater desalination system includes seawater Desalination device; the wind turbine unit, energy storage system, generator and seawater desalination device are connected in parallel to the microgrid. The invention solves the problem of high energy consumption in the traditional seawater desalination industry, and solves the technical problems that existing seawater desalination devices using wind power energy need to use a large number of batteries, high power loss, difficult maintenance and high cost.

The invention relates to an electric vehicle optimal scheduling method with consideration of power grid reserve capacity allocation and a wind power utilization rate. The method comprises the steps of (1) generating a plurality of scene sets comprising 24 hours based on an ARMA model, using a Kantorovich distance to reduce the scene set to obtain electric vehicle charging and discharging load under a typical scene and a sequence of wind power output, and (2) based on established electric vehicle optimal scheduling model and constraint conditions of optimizing power grid positive and negative standby configuration, considering an electric vehicle discharge characteristic, through a price incentive mechanism, scheduling electric vehicle charging and discharging time, allowing an electric vehicle to discharge in low power and abandon power in wind abandoning, the configuration of system positive and negative reserve, and improving wind power utilization rate. So, the power grid positive and negative reserve capacity configuration can be reduced, the temporary shortage of power supply is eliminated, the utilization of wind power is improved, and a decision support is provided for the economical and safe utilization of power grid reserve power and wind power to a maximum.

The invention relates to an operation and control method of a large-scale wind turbine generator in a micro grid system. The operation and control method of the large-scale wind turbine generator in the micro grid system includes the following steps: A. real time anemometry data in a dispatching cycle are collected; B. according to the real time anemometry data collected by the step A, an actual power curve of the wind turbine generator is combined, an ultra-short period wind power predictive value Pt, avg_wind is obtained, and a wind power range in the next dispatching cycle is further confirmed; C. according to the ultra-short period wind power predictive value, a real-time load demand, other distributed power output situations and an optimal control management strategy are combined, and a wind power optimal value Pt+1, sys_wind which can be accepted by the micro grid system in the next dispatching cycle is confirmed. According to the operation and control method of the large-scale wind turbine generator in the micro grid system, meteorological data of a wind field are not needed and a passive unloading box are not needed. The operation and control method of the large-scale wind turbine generator in the micro grid system can be integrated on a micro energy control management system or a supervisor system and is good in practicability and economical performance.

The invention discloses a power grid thermoelectric optimization scheduling method based on wind curtailment pre-evaluation. The method comprises the steps that 1, a dispatching center carries out day-ahead wind curtailment pre-evaluation and issues wind curtailment evaluation data to a wind curtailment transaction center for heat storage and absorption of wind curtailment; 2, the wind abandoningtransaction center issues the wind abandoning assessment data to heat storage enterprises, and obtains a future 24-hour optimal heat storage plan and a wind abandoning electric power subscription planformulated by each heat storage enterprise according to the wind abandoning assessment data and self heat storage requirements; 3, the wind curtailment transaction center clears out the wind curtailment transaction power according to the wind curtailment assessment data and the wind curtailment demand function; and 4, the dispatching center confirms the power purchase plan of the heat storage enterprise, then reduces the wind curtailment power of the corresponding wind power plant, and completes the thermoelectric optimization dispatching of the power grid. The method can track and purchase the wind curtailment in real time, fully consumes the wind curtailment of the wind power plant as much as possible, and improves the wind power utilization rate.

The invention discloses a coordinated wind power consumption regulation strategy for a VMD thermal power generating unit and a battery energy storage system, and the strategy comprises the steps: enabling wind power to serve as an equivalent load, connecting the equivalent load into the system, obtaining an equivalent load curve of the system, carrying out the variational mode decomposition of the equivalent load curve, and obtaining a high-frequency component, an intermediate-frequency component and a low-frequency component; adopting the thermal power generating unit, the battery energy storage system and the super capacitor for control and adjustment respectively; and finally, adopting MATLAB software for optimizing and solving the thermal power generating unit. Compared with traditional single thermal power generating unit adjustment, the method has a better effect, and has social benefits of energy conservation and emission reduction while having higher application value.

The invention relates to a method and device for optimizing the operation of a combined heat and power unit for improving the utilization rate of wind power. Within the thermal output adjustment range of the cogeneration unit, the joint optimization of heat-electricity output is performed, and the optimal solution for the operation mode of the cogeneration unit is output. Through the above schemes, the operation mode of the thermal power unit is adjusted, the output of the thermal power unit is optimized, and the utilization rate of wind power is significantly improved under the premise of ensuring that the heating quality of residents remains unchanged.

The invention discloses a cooperative operation system for wind power generation, pumped storage power generation and hydraulic supply. The cooperative operation system comprises a wind power generation system, a pumped storage power generation system, a hydraulic supply system and a coordinated control processing device; power supply circuits are arranged between an electric energy output end ofthe wind power generation system and a power source input end of a pumped storage water pump and between the electric energy output end of the wind power generation system and a power source input endof a water tower water pump respectively; the coordinated control processing device is used for calculating the remaining power generation amount of the wind power generation system and controlling the on and off of each power supply circuit according to the remaining power generation amount and running of the pumped storage water pump and a water tank water pump, so that the remaining power generation of the wind power generation system provides a working power source for the water tank water pump or the pumped storage water pump, and the priority of the water tank water pump for utilizing the remaining power generation amount is higher than that of the pumped storage water pump. The cooperative operation system can increase the utilization rate of wind power, reduce wind curtailment andadjust the peak and fill the valley through pumped storage at the same time; the problem of low water pressure of high-rise households in a water use peak period can be solved.

The invention discloses a multi-target dynamic scheduling method for a wind storage hydrothermal power system based on multi-source complementation, and the method comprises the following steps: 1, building a multi-target dynamic economical scheduling model: 1.1, building four optimization targets: take the minimum thermal power coal consumption, the minimum thermal power output adjustment volume, the maximum thermal power generation and the minimum load fluctuation after the thermal power is inputted to a power grid; 1.2, determining the constraint conditions of the four optimization targets; 2, carrying out the weighting and conversion of the four optimization targets, and obtaining a target function F of the multi-target dynamic economical scheduling model; 3, combining with the target function F, and solving the multi-target dynamic economical scheduling model through employing the improved plant growth simulation algorithm. According to the invention, the method gives full consideration to the economical performance and stability of thermal power operation, the utilization rate of the wind power and hydropower and the adjustment effect of a pumped storage power station, and guarantees the economical performance and stability of operation of the thermal power generating unit while promoting the consumption of the wind power.

The invention discloses a low-carbon control method for a power system including gas-coal-fired-wind turbines. The method includes: based on the theory of carbon emission flow, assigning the carbon emission responsibility of the power generation side to the load side, and calculating the non-response time The carbon potential and total carbon emissions of each node on the load side; the Shapley value is introduced to share the carbon emission responsibility to calculate the reasonable range of carbon emissions of each load node, and then according to the reasonable range of carbon emissions and the step-by-step carbon price formulation, the nodes on the load side when there is no response are calculated The cost of carbon emissions; build a two-stage optimization model based on the economic dispatch of the power system as a first-stage optimization model and demand response low-carbon optimal dispatch with carbon prices as a signal, and adjust the load on the user side through demand response, and calculate the load after the response The total carbon emissions and carbon emission costs of each node on the side are compared with the data before the response, thereby reducing the total carbon emissions and carbon emission costs. The invention utilizes the load-side regulation ability to reduce system carbon emission.