Source-load-storage Coordination Optimization Scheduling Of Microgrid Considering The Differential Demand Response

With the increasing proportion of renewable energy sources such as wind power and photovoltaics in microgrids,the optimization scheduling of microgrids has become relatively complicated.In order to deal with the problems of poor source-load matching and abandoning wind and light in microgrids,this paper considers Demand response studies the coordinated and optimized dispatching of the source and storage of the microgrid.The specific research content and research results are as follows:Firstly,the load is divided into commercial load,residential load,and industrial load according to the difference in power consumption characteristics.Based on the different response elasticities of different types of loads,an electricity price elasticity matrix that takes into account the difference between the classified load and the power consumption period is constructed.Considering that the load change amount changes with the electricity price in the early period and then tends to stabilize,a new price-type demand response mechanism with an exponential relationship between the load change amount and the electricity price change amount is constructed.Secondly,based on the consideration of price-type demand response and incentive demand response,the conventional generator output,wind power,and photovoltaic output are considered on the power supply side,and the battery charging and discharging process is added to establish a microgrid with the goal of minimizing system operating costs.The source-load-storage coordination and optimization scheduling model makes full use of the power-side and load-side joint scheduling characteristics,so as to obtain a scheduling scheme with better source-load matching,higher wind and solar absorption rates,and lower operating costs.Then,in order to achieve an efficient solution to the multi-dimensional,non-linear,multi-constrained complex microgrid source-reservoir coordinated optimal scheduling model,this paper combines the dual mutation strategy and multi-core parallel computing technology into the conventional differential evolution algorithm,and proposes a new type of differential evolution algorithm.Parallel dual-strategy differential evolution algorithm to reconcile the contradiction between the depth and speed of optimization in the later stage of the conventional differential evolution algorithm.Finally,a microgrid is used as an example to carry out simulation calculations.The simulation results show that the proposed exponential demand response mechanism and source-load-storage coordinated optimal scheduling scheme can significantly improve the wind and photovoltaic consumption rates and reduce the operating costs of microgrids.The parallel dual-strategy differential evolution algorithm is superior to other intelligent algorithms in both optimization depth and optimization speed when solving the model,which verifies its feasibility and superiority.The research in this paper can provide scientific guidance for microgrid dispatching with renewable energy sources.At the same time,the proposed method can also be applied to smart grid planning and other grid dispatching fields with renewable energy sources.