Research for Participation of Electric Vehicles in the Power System Optimal Dispatching

The rapid development of renewable clean energy and low-carbon transportation has brought new opportunities and challenges to the safety and economic operation of power system. This paper studies the economic dispatching operation of the power system that contains clean energy and large-scale electric vehicles, and establishes the objective function of minimizing the amount of discarded wind power and the lowest cost of thermal power generating units. In order to improve the optimization efficiency, the original system is decoupled into the wind-vehicle-hydro subsystem and the thermal power subsystem according to the characteristics of multi-source output. The two subsystems are connected by the load balance and the reserve constraints of the system, and their respective scheduling models are given respectively. In this paper, an improved random black hole particle swarm optimization (IRBHPSO) algorithm with fast convergence and effective avoidance of local optimization is proposed by combining the black hole theory and particle swarm optimization. The effectiveness and superiority of the improved algorithm were verified on a 10-unit test system. Finally, this paper modifies the IEEE-RTS system according to the proportion of installed capacity of the Northeast Power Grid. The simulation results verified the feasibility of the proposed optimal scheduling model and the effectiveness of the algorithm, which provides strategies and feasible suggestions for the large-scale electric vehicles to participate in the economic dispatching operation of the power system. (paper)