| Renewable energy is changing the world’s energy pattern,vigorously developing renewable energy,and improving the utilization rate of renewable energy has become the consensus of my country’s power industry.With the increasing proportion of renewable energy and the development of intelligent control technology,a large number of controllable loads participate in the operation of the microgrid,which effectively reduces the economic cost of the microgrid.Therefore,this paper takes the wind-solar storage independent microgrid as the research object,and studies the multi-objective capacity optimization problem of the microgrid considering the load response.The specific contents are as follows:First,the output characteristics of fans,photovoltaic cells,lithium iron phosphate batteries and diesel generators are analyzed and corresponding mathematical models are established.On this basis,a multi-objective capacity optimization model of the microgrid that comprehensively considers equal annual cost and power deviation is constructed,and the load following strategy is used to control the output of each distributed power source,which lays the foundation for subsequent simulations.Secondly,the multi-objective particle swarm algorithm(MOPSO)is improved by using crowding distance sorting strategy,exponentially decreasing inertia weight and local perturbation strategy,and verified on the ZDT test function.The results show that the improved multi-objective particle swarm optimization(IMOPSO)has more advantages in jumping out of the local optimum and the diversity of solutions.One year’s meteorological data and load data in a certain area are selected for simulation calculation,and IMOPSO is used to solve and analyze the capacity optimization models under the wind-solar storage power supply mode and the wind-solar diesel storage power supply mode respectively.The results show that the addition of diesel engine can effectively improve the economy and stability of the system.The technique for order preference by similarity to ideal solution(TOPSIS)based on combination weights is used to sort multiple configuration schemes.Carrying out multi-objective decisionmaking,the results show that the combined weight-TOPSIS can take both subjectivity and objectivity into consideration.Finally,the load response is introduced on the basis of multi-objective capacity optimization of the independent microgrid of wind power and storage,and the optimized load curve is obtained.The IMOPSO algorithm is used to solve the multi-objective capacity optimization model after the load response correction,and the changes in the cost and capacity configuration of the microgrid before and after the load response are studied.The optimal capacity before and after the response is optimized,and the typical daily load is selected to analyze the output of each distributed power source before and after the load response.The results show that the microgrid after load response reduces the number of energy storage configurations and the output power of diesel generators.It effectively reduces the economic cost of the system and improves the stability of the system. |
