Optimal Scheduling Of Active Distribution Networks With Demand-side Response And Distributed Energy Storage

Under the background of double carbon,a great quantity of distributive wind power and photography are attached to the allocation network,but the random,intermittent and fluctuating nature of new energy generation brings challenges to the safe operation of the allocation network.At the same time,the development of society and the change of people’s lifestyles have led to the problems of larger peak-to-valley differences in load curves and faster load changes,and the abandonment of wind and light in the distribution grid,and the uncertainty of both sides of the source and load of the distribution grid also has a significant impact on the safe operation of the system.Therefore,it is very important to study how to improve the capacity of new energy consumption and ensure the safe and reliable operation of the system by taking the active distribution grid as the object.The following research work is conducted in this article:First,the basic architecture of the active distribution network is studied,the operating characteristics and working principles of distributed power sources are analyzed in detail,and the corresponding output models are established.Second,the role of distributed energy storage in the active distribution network is analyzed.The objective function of the lowest cost of distribution grid operation is used to establish an optimization model of the active distribution grid considering distributed energy storage,and the particle swarm optimization algorithm is used to solve it.It is also analyzed in the IEEE 33-node system,and the simulation results show that the introduction of distributed energy storage devices in the active distribution network can significantly improve the consumption of new energy and enhance the overall economy of the system.Finally,considering the impact of time-sharing tariff on users,the optimization model of active distribution network considering demand-side response and distributed energy storage is established with the objectives of minimum cost of operation of distribution network and minimum peak-valley difference of system load,etc.The improved NSGA-Ⅱ optimization algorithm is used to solve the model and finally analyzed in IEEE33 node system.The simulation results show that considering demand-side response and distributed energy storage strategy in the optimal dispatch of active distribution network can not only reduce the peak-to-valley difference of system load,but also enhance the consumption of new energy in the network and guarantee the cost-effectiveness and stability of system operation.