Research On "source-load-storage" Coordinated Optimal Dispatch In Active Distribution Network

With the development of smart grids,clean energy based on distributed power generation has ushered in a golden period of development,and the load resources in the distribution network have also shown diversified development,and energy storage systems have gradually gained favor.The addition of resources has gradually transformed the single traditional distribution network into a two-way complex active distribution network,which has promoted energy consumption and accelerated the transformation of my country’s energy structure.At the same time,the randomness of clean energy itself has also caused voltage fluctuations and network losses to the distribution system,bringing new problems to the stable operation of the power system.In order to minimize these impacts and maximize benefits,it is particularly important to comprehensively consider distributed power generation,flexible loads,and energy storage systems to participate in optimal dispatch.This is of great significance for improving power system reliability,dispatching economy,and establishing a green grid.First of all,based on the understanding of the core concepts,key technologies,power flow methods and main scheduling tasks of the active distribution network,the models are established in combination with the characteristics of distributed power supply,energy storage system response strategies,and demand-side resource response types.The "source-load-storage" collaborative interaction is a two-stage optimization scheduling strategy in real-time before the day.Secondly,considering the constraints of distributed power output constraints,energy storage response constraints,power supply reliability constraints,etc.,a twolayer model of active distribution network optimal dispatching is established.The upper layer reflects the economy and stability of the distribution network to optimize overall benefits as the goal,the lower layer reflects the reliability of power supply and takes the optimal load change as the goal.Based on the random weighted particle swarm optimization algorithm,combined with the cross-mutation function of the genetic algorithm,a genetic random weighted particle swarm optimization algorithm is proposed to solve the two-layer model.Finally,the IEEE 33-node power distribution system is selected for simulation analysis to verify the rationality of the model and the effectiveness of the algorithm.The three scenarios of "source-storage","source-load" and "source-load-storage" are optimized and dispatched.The results show that the optimization effect is the best under the coordinated response of "source-load-storage",which can give full play to the initiative of various resources and is convenient for consumption.However,the frequent cyclic charging and discharging of the energy storage system accelerates the life loss and increases the scheduling cost.Therefore,in order to improve the scheduling economy of the energy storage system,a dual energy storage operation strategy is proposed.In the case of constant output,the number of cyclic charge and discharge can be greatly reduced,the life span is extended,the operating cost is reduced,and the power system dispatching economy is improved.