Robust Dynamic Economic Dispatch Strategy Of Power System Based On The Improved BCC Algorithm

With the increasing penetration of electric vehicle(EV) and wind power into the power system, system operators face new challenges for system reliability and generation cost due to the intermittent of wind power and the random charging behavior of EV both in time and space. Firstly, these uncertainties make the result of traditional economic dispatch unstable, and the objective function can be disturbed. Secondly, constraints of economic dispatch can be violated as there are uncertain parameters in them. Finally, the random charging of large numbers of electric vehicles could increase the peak-valley difference of the power system, and the intermittent and anti-peaking characteristics of wind power make it difficult to fully utilize them.To solve these problems, this article researched from the following aspects:Firstly, the mathematical model of power system dynamic economic dispatch problems is described. The idea of multi-agent is introduced into the bacterial colony chemotaxis(bacterial colony chemotaxis, BCC) algorithm. The time division agents are coordinated by the coordination agent. As the dynamic economic dispatch optimization problem is decomposed into several sub-problems which are solved by time division agents, the performance of the algorithm is improved. A mutation strategy based on cloud model is proposed to improve the mutation ability of bacteria.Secondly, the uncertainties of wind power and charging load of private electric vehicles are analyzed. The private electric vehicles charging load is simulated by using Monte Carlo method, and the model of battery swapping station is established. In order to improve the utilization of wind power and to reduce the impact of uncertainties on the economic dispatch objective function and constraints, a robust power system dynamic scheduling model based on bad scenario set as well as the solving method are proposed.Finally, the bi-directional charging and discharging of electric vehicle is described, and the mathematical model is established. By controlling the charging and discharging of electric vehicles, the wind power utilization can be improved. The robust interval dispatch is introduced into the robust dynamic economic dispatch based on bad scenario set, which can improve both the utilization of wind power and the power system economy.