34results about How to "Achieve coordinated optimization" patented technology

The invention discloses an unmanned vehicle dynamic path programming method based on environment uncertainty, comprising steps of establishing a vehicle kinetics model, establishing a dynamic environment model and necessary conditions for anew programming a path, obtaining a motion state original value of the unmanned vehicle, a vehicle motion state original target value and a vehicle motion state candidate target value, generating a candidate path, obtaining an optimal path through selection based on a safety index and a rapidity index, and reprogramming the optimal path of the unmanned vehicle when the unmanned vehicle motion environment satisfies the condition where the new path can be programmed. Compared with the prior art, the invention can not only satisfy the safety requirement for safety driving, but guarantees the driving efficiency under the constraint of the vehicle model. The invention realizes the coordination optimization of the performance index through distribution of various weights, realizes the real-time planning under the condition where a plurality of dynamic obstacles exist, and effectively improves the safety of the unmanned vehicle driving.

The invention discloses a dc grid transmitting and receiving end combined peak regulation optimization method considering source network load constraints, and can solve the technical problems that a 'linear' or 'reverse peak regulation' transmission plan often occurs in the prior art, which causes great difficulty in peak regulation, frequency modulation and operation mode arrangement of a receiving end grid. The method comprises the steps: firstly obtaining day-ahead output prediction data of a wind power plant and a photovoltaic power station; on the basis that a grid sending end power supply meets the requirement of local load power utilization, transmitting the generated surplus electric quantity to the grid receiving end through a high-voltage DC connecting line; taking the minimum total operation cost of a power grid system as an optimization target, taking the power balance constraint, the conventional generator set constraint, the wind curtailment and light curtailment constraint, the DC tie line constraint and the excitation type demand side response constraint as constraint conditions, establishing an optimization model, and obtaining operation power plans of each energysupply device which is accessed to DC, the high-voltage DC tie line and the excitation type demand side response of the receiving end. According to the invention, the energy consumption cost of a useris reduced, and the complementation and collaboration among various energy sources are improved.

The invention relates to an LCC theory-based method of comprehensive evaluation of a transmission network planning scheme. The method is characterized in that the method comprises the following steps that: step 1.1, according to power grid data published by an electric power company, calculation is respectively carried out on risk indexes Rs, efficiency indexes Es and LCC indexes Cs of N transmission network planning schemes by employing different computing methods; step 1.2, the risk indexes Rs, the efficiency indexes Es and the LCC indexes Cs of the N transmission network planning schemes are respectively substituted into a formula (1) to obtain N composite indicators RECs, wherein the formula is: REC= R + E + C (1) and the risk indexes Rs, the efficiency indexes Es and the LCC indexes Cs are obtained by the step 1.2; and step 1.3, comparison is carried out on the N composite indicators RECs that are obtained by the step 1.2; and a scheme that is corresponded to a composite indicator REC with a minimum numerical value is an optimum scheme and a scheme that is corresponded to a composite indicator REC with an infinite numerical value is an ineffective scheme. According to the invention, economy and technique rationality of a transmission network planning scheme as well as an influence on the environment can be evaluated comprehensively; and coordination optimization of the transmission network planning in the aspects of economy, technology and environmental protection can be realized.

The invention discloses an operating index optimization method in the beneficiation process, and belongs to the technical field of the beneficiation process. The method comprises the steps of collecting operating indexes of various processes in the beneficiation process; optimizing the operating indexes in the beneficiation process according to the collected operating indexes and operating index boundary constraint so as to optimize the quality index and the yield index in the beneficiation process, wherein the optimization process comprises the steps of setting the boundary constraint, the target value of the quality index and the target value of the yield index of the beneficiation process, optimizing the set target value of the quality index and the set target value of the yield index, predicting the quality index and the yield index, obtaining the predicted value of the quality index and the predicted value of the yield index, correcting the preset values of the target values of the operating indexes and obtaining the optimization values of the operating indexes; and sending control instructions to the various processes in the beneficiation process according to the optimization values of the operating indexes. According to the method, by setting corresponding work condition parameters, the target values of the operating indexes corresponding to the different processes are controlled through complete flow scheme daily comprehensive production index optimization of enterprises, and coordinative optimization of the various processes in the beneficiation process is achieved.

The invention discloses a coordinative optimization configuration method for the capacity of a photovoltaic array, an energy storage device and a transformer of a photovoltaic charging station. The method comprises the following steps: firstly, determining a target function of the photovoltaic charging station, acquiring basic data of the photovoltaic charging station, and determining constraint conditions of the photovoltaic electric automobile charging station; secondly, optimizing the target function by applying an NSGA-II multi-objective genetic algorithm to obtain an optimization result;and finally, selecting the most reasonable construction requirement based on a construction investment budget of a investor according to the optimization result, and performing corresponding hardwarefacility configuration in the photovoltaic electric automobile charging station according to the construction requirement. The coordinative optimization configuration method disclosed by the inventionis applicable to all types of cities with the photovoltaic electric automobile charging station; an energy control strategy-based photovoltaic charging station optimization configuration method for coordinative optimization of the capacity of the photovoltaic array, the energy storage device and the transformer; and a theoretical foundation and a technical support are provided for construction and operation of an electric automobile charging station with a photovoltaic power generation system, so as to guarantee the economy, the environmental friendliness and the reliability of the construction and the operation of the charging station.

The invention discloses an interruptible-load-based multiple-target overloading assistant decision making method. Contribution indexes of an interruptible load for reducing two target functions, namely an interruptible load cutting total amount and an interruptible load cutting total number, are respectively computed; a comprehensive contribution index of the interruptible load to the two target functions is computed by utilizing linear weighting factors; the linear weighting factors are divided into different grades; an overloading assistant decision making measure corresponding to each grade of the linear weighting factor is computed; and the final measure is selected via a scheduling operator. By applying the interruptible-load-based multiple-target overloading assistant decision making method, multiple-target optimization can be performed according to the contribution indexes of the interruptible load to the target functions, an effective solution set meeting the computation precision is given out, and coordinate optimization of reduction of the two target functions, namely the interruptible load cutting total amount and the interruptible load cutting total number, is implemented.

The invention discloses a unit combination acquiring method considering out-going power transaction, transprovincial or interregional line transaction and security constraint. The method is characterized in that the transaction plan an operation plan of a power company are treated as the background, a mathematical model facing transaction component is created to solve the problem that the economic characteristics of transaction variety and rules are to be reflected in the power transaction; the optimized target function is that the cost of the power company purchasing out-going power transaction and transprovincial or interregional line transaction is minimized; the constraint conditions include security constraint for the power grid operation, physical constraint for unit operation, and transaction component constraint. With the adoption of the method, the power company considering the transaction variety and rules can prepare the transaction plan and the operation plan, so that the decision-making science and effectiveness can be improved; the power purchase strategy and power purchase cost of the power company can be optimized, and as a result, the lean operation level of the power transaction service can be raised.

The invention discloses a medium-term and long-term trading-operation plan-acquiring method considering wind-electricity acceptance. By the method, a trading-operation integrated mathematical model is established by aiming at the realistic problem of needing large-scale wind-electricity acceptance by using medium-term and long-term trading plans and operation plans carried out by an electrical power company as the background, optimized target functions are the minimum total operating cost and the maximum wind-electricity elimination and acceptance of a system, and constraint conditions include the security constraint of electric-network operation and the physical constraint of generator operation. In order to reduce the solving dimensionality of the model, plan-scale compressing and mapping technologies are provided for compressing the time scales of the medium-term and long-term plans into typical-week time scales, the plan of a typical week is firstly obtained through optimized calculation, and the plan of the required medium-term and long-term time scales is formed through mapping relation, so that the electrical power company needing large-scale wind-electricity elimination and acceptance can be helped to make medium-term and long-term trading plans and operation plans, and therefore decision-making scientificity and validity are improved, the method is helpful to improving the accepting level of the wind electricity, and the production cost of electric energy is lowered.

The invention discloses an optimal scheduling method based on a multi-energy complementary micro-grid and an active power distribution network. The method comprises the following steps: respectively establishing an optimal scheduling target model of the multi-energy complementary micro-grid and an optimal scheduling target model of the active power distribution network; establishing an optimization scheduling constraint condition; establishing a double-layer optimization model by taking the optimization scheduling target model of the multi-energy complementary micro-grid and the optimization scheduling target model of the active power distribution network as optimization targets and the optimization scheduling constraint conditions as constraint conditions; and solving the double-layer optimization model, and carrying out optimization scheduling operation based on a solving result. According to the method, coordinated optimization of the multi-energy complementary micro-grid and the active power distribution network is realized, various energy requirements in the micro-grid can be met, gradient utilization of different energy sources is realized, the operation state of the active power distribution network can be considered, support is provided for safe operation of the power distribution network, and the energy benefit of a user-side comprehensive energy system can be improved.

The invention relates to an electricity, heat and gas coupling park comprehensive energy system operation optimization method considering multiple energy flows of a network. The method comprises the steps of 1, carrying out mathematical modeling of a power distribution network; 2, carrying out mathematical modeling of the natural gas pipeline network; 3, carrying out mathematical modeling of the heat supply pipe network; 4, modeling the external characteristics of the energy supply equipment; 5, constructing a mathematical optimization problem; and 6, solving an optimization problem. The system has the beneficial effects that 1, coordinated optimization of three energy systems including electric power, natural gas and thermal power of the park comprehensive energy system can be achieved; 2, the method provided by the invention can calculate network details (reactive power in a power grid, node voltage, node air pressure in a natural gas system, pipeline airflow, return water temperature in a thermodynamic system, water pump power and the like) of each energy system, and analyzes the influence of the equipment access position on the system;.

The invention belongs to the technical field of urban rail transit, and particularly relates to a rail transit train full load rate control method and application. Control of the full load rate of a train causes many problems in a given train running scheme. If the travel requirements of most passengers are difficult to meet by the travel scheme, the dissatisfaction of the passengers is possibly caused; if only the number of rows and columns is increased singly, waste of transport capacity resources may be caused. The invention provides a rail transit train full load rate control method. The rail transit train full load rate control method comprises the steps: (1) determining a train running plan with the maximum passenger number as the target; 2) determining the number of passengers capable of being accommodated according to the train running plan and the related interval full load rate requirements; 3) screening according to the passenger reservation information, and determining passengers who can get on the bus; 4) adjusting the train running plan according to the determined boarding passenger information to realize coordinated optimization of the running organization.

The invention discloses a power-on planning iterative optimization method based on a control measure (RM) cost performance entropy index (CPR), which comprises the following steps: firstly, determining the allocation quantity of prevention control and emergency control; and then, adopting a CPR optimization method for RM optimal selection aiming at the prevention control quantity and the emergencycontrol quantity, respectively; finally, using 2 layers of repeated iteration to complete continuous correction of the allocation quantity. Under the initial control quantity allocation, the sensitivity analysis is completed by gradually perturbing a certain control quantity (prevention or emergency spare capacity size); finally, an iterative step with the smallest total risk cost is selected asan optimal solution; the sensitivity of the prevention control quantity and the emergency control quantity in a to-be-optimized scene is searched, so that the allocation quantity of a non-rotational control measure involved in the prevention control and the emergency control can be adaptively determined, coordinated optimization of the rotational control measure and the non-rotational control measure is achieved, and the system operation economy is improved.

The present invention discloses a hydroelectric generating set speed regulation system PID parameter setting method and device. The method comprises the steps of: employing a preset simulation model to perform simulation of a hydroelectric generating set to determine proportional component magnification times when the hydroelectric generating set reaches a critical stable state and a correspondingvibration period; according to the proportional component magnification times when the hydroelectric generating set reaches the critical stable state and the corresponding vibration period, calculating the proportional component magnification times in the PID parameters and differentiation component magnification times; according to the proportional component magnification times in the PID parameters and the differentiation component magnification times, employing the preset simulation model to perform simulation, and determining integration component magnification times when the hydroelectric generating set reaches the critical stable state as the integration component magnification times in the PID parameter; and according to the proportional component magnification times, the differentiation component magnification times and the integration component magnification times in the PID parameters, employing the preset simulation model to perform simulation and verification so as to complete setting of the PID parameters.

The invention discloses a multi-energy complementary optimal scheduling method and system for an integrated energy system, and the method comprises the following steps: obtaining the operation data and parameters of the integrated energy system; establishing a multi-energy complementary optimization scheduling model of the integrated energy system by taking the minimum equipment operation cost as a target; constructing constraint conditions of the multi-energy complementary optimization scheduling model of the integrated energy system; under constraint conditions, solving an optimal solution of the multi-energy complementary optimization scheduling model of the integrated energy system; and performing multi-energy complementary scheduling on the integrated energy system by taking the optimal solution as a scheduling scheme. According to the invention, main operation equipment in the integrated energy system is selected, an objective function and a constraint condition which take the minimum daily operation cost of the equipment as an objective are constructed, a 0-1 variable is introduced to carry out linearization processing on part of the objective function and the constraint condition, and an established optimization model is changed into a mixed integer linear programming model, so that the solving speed is improved, and a reference basis is provided for solving the operation cost of the comprehensive energy system.

The invention discloses a unit combination acquisition method considering external power transmission transactions, cross-province and cross-region tie-line transactions, and safety constraints. The method takes the transaction plan and operation plan of the power company as the background, and reflects the transaction types and requirements for power transactions. For the problem of the economic characteristics of the rules, a mathematical model oriented to transaction components is established. The optimized objective function is to minimize the transaction cost of the power company’s purchase of external power transmission transactions and cross-province and cross-region contact lines. Physical constraints and transaction component constraints can help power companies that need to consider trading varieties and rules to formulate transaction plans and operating plans, improve the scientificity and effectiveness of decision-making, and help optimize power companies' power purchase strategies and power purchase costs. Lean operation level of power trading business.

The invention discloses a medium-term and long-term trading-operation plan-acquiring method considering wind-electricity acceptance. By the method, a trading-operation integrated mathematical model is established by aiming at the realistic problem of needing large-scale wind-electricity acceptance by using medium-term and long-term trading plans and operation plans carried out by an electrical power company as the background, optimized target functions are the minimum total operating cost and the maximum wind-electricity elimination and acceptance of a system, and constraint conditions include the security constraint of electric-network operation and the physical constraint of generator operation. In order to reduce the solving dimensionality of the model, plan-scale compressing and mapping technologies are provided for compressing the time scales of the medium-term and long-term plans into typical-week time scales, the plan of a typical week is firstly obtained through optimized calculation, and the plan of the required medium-term and long-term time scales is formed through mapping relation, so that the electrical power company needing large-scale wind-electricity elimination and acceptance can be helped to make medium-term and long-term trading plans and operation plans, and therefore decision-making scientificity and validity are improved, the method is helpful to improving the accepting level of the wind electricity, and the production cost of electric energy is lowered.

An optimization method for combined peak regulation at the sending and receiving ends of the DC power grid that considers the constraints of the source network and the load can solve the "straight line" or "reverse peak shaving" transmission plan that often occurs in the existing technology, which brings problems to the peak regulation, frequency regulation and operation mode arrangement of the receiving end power grid. more difficult technical problems. The present invention firstly obtains the forecast data of the wind farm and the photovoltaic power station, and the power supply at the sending end of the power grid satisfies the power consumption of the local load. The lowest is the optimization objective, with power balance constraints, conventional generating set constraints, wind and solar curtailment constraints, DC tie-line constraints, and incentive demand-side response constraints as constraints, an optimization model is established to obtain the Operational power planning for energy-efficient equipment, HVDC tie-lines, and stimulated demand-side response at the receiving end. The invention not only reduces the energy cost of the user, but also improves the complementarity and synergy among various energy sources.

The present invention provides an Energy Internet network architecture based on a virtual energy router and a design method thereof, including: a virtual energy router: by collecting real-time working status information of the Energy Internet, analyzing system behavior, and realizing collaborative optimization of energy and information of the Energy Internet, intelligent Management and energy conversion; physical energy router: the physical energy router transmits the measured real-time working status information of the energy Internet to the virtual energy router, and the virtual energy router makes the optimal decision; distributed power generation subsystem: formed by the physical energy router The Internet is connected to the large power grid through a physical energy router. The top-level virtual energy router and physical energy router of the present invention can realize two-way communication and power allocation between power generation equipment and user terminals, and can also realize two-way energy intelligent regulation, realize the plug-and-play function of energy units, and improve the ubiquitous level of energy.

The invention discloses a data-based personalized control system and a data-based personalized control method for the energy conservation and the comfort of an indoor environment. Data are preprocessed aiming at the parameter information of the indoor environment to obtain real-time data which meet the limiting conditions, the real-time data are stored in a database, a comfort model and an energy consumption model are built according to the real-time data stored in the database and are subjected to energy conservation and comfort temperature coordinated optimization to obtain optimal temperature and humidity values, and a controller controls an air-conditioning temperature and humidity controller to regulate indoor temperature and humidity values until the indoor temperature and humidity values reach the optimal temperature and humidity values. The problem of objective conflict between the comfort and the energy conservation is solved by multi-objective optimization, and the coordinated optimization of the comfort and the energy conservation is realized.

A method for optimizing operation indexes of beneficiation process, belonging to the technical field of beneficiation process, collecting operation indexes of each process in the beneficiation process; The optimization of indicators and production indicators. The optimization process includes setting the boundary constraints of the beneficiation process, the target value of the quality indicator and the target value of the production indicator, optimizing the target value of the quality indicator and the target value of the production indicator, and forecasting the quality indicator and production indicator. , obtain the forecast value of the quality index and the forecast value of the output index, correct the preset value of the target value of the operation index, and obtain the optimized value of the operation index; according to the optimized value of each operation index, the control command is issued to each process of the beneficiation process. The method can realize the optimal control of the daily comprehensive production index of the whole process of the enterprise by setting the corresponding working condition parameters to obtain the target value of the operation index corresponding to different processes, and realize the coordinated optimization of each process in the mineral processing process.

The invention discloses a coordinated optimization method and system for low-energy grain boundary density and grain size, and coordinates and optimizes thermoplastic deformation process parameters by introducing key evaluation index energy storage to obtain a uniformly refined structure with high low-energy grain boundary density; obtain the material to be tested Based on the isothermal thermal compression experimental data, the response relationship and model between energy storage and average grain size are established; the response relationship of low-energy grain boundary density with energy storage and average grain size as variables is established, and then the evolution model of low-energy grain boundary density is established; Develop a low-energy grain boundary density prediction and analysis system to obtain the core subroutines of grain size and low-energy grain boundary density and couple them to the finite element software. Through real-time monitoring of average grain size, energy storage and low-energy grain boundary density, iterative correction The main process parameters realize the dynamic coordination and optimization between grain size and low-energy grain boundary density. The invention can reveal the evolution of the low-energy grain boundary density in the process of thermoplastic deformation, and realize the coordinated optimization of the low-energy grain boundary density and grain size.

The invention discloses a coordination evaluation method and system based on high and medium voltage power distribution network grid structures. The method comprises the following steps: analyzing the power supply safety levels of the high and medium voltage grid structures in N-1 and N-1-1 outage scenes under corresponding group load levels from a high-voltage level and a medium-voltage level through employing the power supply safety standard of an urban power grid; calculating a reliability index of the high-and-medium-voltage power distribution network and comprehensive annual cost of the high-and-medium-voltage grid structure by using a coordinated calculation strategy; and evaluating various high and medium voltage power distribution network grid structure combination schemes by using the power supply safety level, the reliability index and the comprehensive cost, and judging the superiority of the various combination schemes. According to the method, coordinated optimization of the grid structure of the high-and-medium-voltage power distribution network can be realized, and the investment of capital cost is reduced while the power supply quality is improved, so that the overall optimality of planning and transformation of the high-and-medium-voltage power distribution network is realized.

The present invention discloses a hydroelectric generating set speed regulation system PID parameter setting method and device. The method comprises the steps of: employing a preset simulation model to perform simulation of a hydroelectric generating set to determine proportional component magnification times when the hydroelectric generating set reaches a critical stable state and a correspondingvibration period; according to the proportional component magnification times when the hydroelectric generating set reaches the critical stable state and the corresponding vibration period, calculating the proportional component magnification times in the PID parameters and differentiation component magnification times; according to the proportional component magnification times in the PID parameters and the differentiation component magnification times, employing the preset simulation model to perform simulation, and determining integration component magnification times when the hydroelectric generating set reaches the critical stable state as the integration component magnification times in the PID parameter; and according to the proportional component magnification times, the differentiation component magnification times and the integration component magnification times in the PID parameters, employing the preset simulation model to perform simulation and verification so as to complete setting of the PID parameters.

The invention discloses a silicon steel production planning system, and belongs to the field of steel production planning. According to the silicon steel production planning system, in the silicon steel making controlling and continuous casting process, A and B meet the equations (the equations can be seen in the description), wherein A is smaller than or equal to 10, and B is smaller than or equal to 12. According to the silicon steel production planning system, the equations 1 and 2 are met at the same time, and the coordinative optimization of process batched planning before and after steelmaking and continuous casting in silicon steel production is realized.

The invention provides a power distribution network reactive power optimization method and system considering influence of the compensation capacity on the position. The method is characterized in that the number of reactive compensation points, the number of maximum compensation points and the maximum annual economic benefit value are initialized and set; compensation positions of compensation points meeting the set number of reactive compensation points are determined, calculating annual economic benefit after reactive compensation is carried out at the positions, if the annual economic benefit exceeds a set maximum annual economic benefit value at the moment, the maximum annual economic benefit value is updated; one is added to the number of the reactive compensation points, whether thenumber of the reactive compensation points at the moment is the optimal number of the reactive compensation points or not is determined, if yes, the optimal number and the capacity of the reactive compensation points at the moment are outputted, otherwise, the process returns to the step of determining the compensation positions of the compensation points meeting the set number of the reactive compensation points again, circulating is performed, and lastly, a final reactive compensation scheme is determined.

The invention provides an industrial load demand response scheduling method under high-proportion new energy, and the method comprises the steps: determining the demand response modes of different types of industrial loads according to the demand response characteristics of different types of industrial loads; the overall scheduling is divided into three time scales of day-ahead scheduling, intra-day scheduling and real-time scheduling; determining different time scale optimization scheduling tasks; respectively training the improved C-DCGAN models of the three time scales to obtain source-load scene values under different time scales; constructing a day-ahead multi-scene stochastic programming model to obtain an optimal day-ahead scheduling instruction; constructing an intra-day multi-scene stochastic programming model according to the intra-day source-load scene value to obtain an optimal intra-day scheduling instruction; and constructing a real-time multi-scene stochastic programming model according to the real-time source-load scene value to obtain an optimal real-time scheduling instruction. According to the method, the uncertainty of the new energy output and the load power is described, uncertainty scene support is provided for scheduling, the scheduling cost is reduced, and the scheduling effect is enhanced.

The invention relates to a motor train unit application plan compilation method considering intra-weekly fluctuation of a train operation scheme. Based on the motor train unit application mode of the semi-fixed operation section, part of motor train units adopt the application mode of the fixed operation section to serve as part of fixed running trains, and part of motor train units adopt the application mode of the unfixed operation section to serve as part of fixed running trains and unfixed running trains; a motor train unit application problem is converted into a traveling salesman problem (TSP problem), and a motor train unit traffic daily plan optimization model and a motor train unit application weekly plan optimization model which meet motor train unit maintenance requirements are established by constructing a motor train unit application continuing network and performing hierarchical modeling; and performing staged solution according to the hierarchical model, and designing a motor train unit application plan optimization algorithm based on an ant colony algorithm to obtain an optimized motor train unit application weekly plan. The method can recombine transportation resource supply to efficiently improve the quality of transportation products and meet the diversity of passenger flow demands.