Optimal Configuration Of Microgrid From The Perspective Of Demand

With the development of the economy,people’s demand for electricity is increasing.Traditional thermal power generation requires the burning of fossil fuels,but the earth’s reserves of fossil fuels are limited and the burning of fossil fuels produces harmful gases.Therefore,the demand for clean energy is increasing,and microgrid consists of distributed power supply,energy storage equipment and load,which can use solar and wind energy to generate electricity to meet the demand for clean energy.However,some problems are encountered in the process of microgrid promotion:(1)some current studies on the optimal configuration of microgrid only consider the economy,but not the reliability and environmental protection,resulting in poor overall performance of microgrid;(2)the high price of distributed power supply,and some places do not use the best distributed power supply configuration scheme when establishing microgrid,resulting in high cost of microgrid power supply;(3)In the study of the optimal configuration of microgrid under demand response,only the configuration scheme under one kind of demand response is analyzed without comparison,and the impact of the change of electricity price and price elasticity on the configuration result is not considered.In this paper,the following studies are conducted to address the above issues.(1)To address the problem of comprehensive performance of microgrid,this paper takes economy and environmental protection as the objective function,considers various constraints,establishes an optimal configuration model of microgrid,sets up several different combinations of distributed power schemes,and solves them by using the improved Gray Wolf algorithm,and the results show that the scenery-wood storage scheme has lower cost and better reliability,so this scheme is used in subsequent studies.(2)The gray wolf algorithm is improved to improve the accuracy of the calculation,and then the improved gray wolf algorithm is used to solve to find the optimal configuration scheme to reduce the cost.The structure of the gray wolf algorithm is simple and requires fewer parameters to be set,but there are still problems such as low solution accuracy and slow convergence speed.Therefore,the gray wolf algorithm is improved by adopting a nonlinear convergence factor to balance the search ability of the algorithm.At the same time,proportional weights are introduced to update the gray wolf position,so as to accelerate the convergence speed of the algorithm.The improved algorithm is verified by using multiple test functions,and the results show that the improved gray wolf algorithm is better than other algorithms in terms of convergence speed and accuracy.(3)To address the problem of lack of comparison in the study of optimal configuration of microgrids considering demand response,this paper will consider the optimal configuration of microgrids under three price-based demand response,and solve the configuration results under fixed tariff,time-of-use tariff,and real-time tariff,respectively,to compare the optimal configuration results of microgrids under real-time tariff.The impact of changes in the peak-to-valley tariff ratio and the elasticity of substitution on the configuration results is investigated.The microgrid cost is found to decrease as the peak-to-valley tariff ratio and the elasticity of substitution increase,but in reality,the peak-to-valley tariff ratio and the elasticity of substitution need to be set according to the actual situation due to the limited transferable load of customers.