Centralized Control Strategy Considering Decentralized Energy Storage participate in Optimal Power System Dispatching

Abstract

In order to effectively solve the problem of wind and solar energy curtailment or load shedding caused by the insufficient regulation capacity of traditional power sources in renewable energy high-penetration power systems, a generalized source-storage system is proposed. It centralizes the scattered renewable energy and then shifts it to peak load period, so that the power output can follow the load changes of the power grid. Thus, the purpose of using renewable energy installed capacity to properly supplement the power shortage needs is achieved. Firstly, according to the operating status of traditional power systems, a schedulable range constraint that takes into account the marginal amount of net load indicators is proposed. Then, in order to reduce the prediction errors caused by wind power fluctuations, a mathematical model of the energy storage system and a centralized control strategy are established. Finally, an optimal scheduling model for wind and fire storage systems with energy storage systems is established, and a hybrid particle swarm algorithm combining standard particle swarm and simulated annealing algorithms are used to solve the problem. The results of calculation examples show that the power system model considering the constraints of the schedulable range effectively reduces the feasible range of the variables and improves the speed of solving the model. In addition, the centralized control strategy that considers distributed energy storage to participate in the optimal dispatch. Compared with the traditional strategy, while improving the accuracy of the control, the solution results are further in line with the actual situation, which provides a theoretical basis for the optimal dispatching of the actual complex power system.