Optimization Of Generation And Transmission Maintenance Scheduling Considering Significant Wind Power Penetration

Wind is a renewable, clean, plentiful energy with a bright future. Despite the numerous advantages of wind power, usually it is hard to accurately forecast the output of wind plant because of the randomness and Intermittency of it, which leads to the fact that a large-scale use of wind power will heavily influence the security and stability of power grid. If the random fluctuations of wind power output are not considered when making the unit maintenance scheduling(UMS), insufficient peaking capacity of generators and decrease of system reliability may happen when doing maintenance, and it may even cause the loss the load under extreme conditions. Therefore, the randomness and instability of wind power have brought huge pressure to system security.Electric power is the most important energy of modern society, thus the regular supply of electric power is the basic insurance of normal national life and maintaining stable social progress. The maintenance of power system is an important part of power system daily work, which directly affects the reliability of power system operation.Firstly, this article briefly introduces the basic content, function and significance of power system maintenance scheduling, and describes the basic model and frequently-used algorithm of current generation and transmission maintenance scheduling problem. Then, since the randomness of wind power may lead to reserve shortage under unreasonable UMS, this article presents an UMS model to minimize expected loss of load based on wind power probability distribution. UMS is reasonably optimized by considering the expected loss of load with respect to random outage of generators, so that the expected loss of load can be decreased or even eliminated to guarantee the safe operation of system. In addition, a novel efficient0-1particle swarm optimization algorithm is described in this article, and simulation results on IEEE RTS-96system shows the feasibility of the proposed model and the efficiency of the proposed particle swarm optimization algorithm. Besides the detailed exploration of UMS optimization, this article also introduces the maintenance problem of transmission lines, and constructs a new model of generation and transmission maintenance scheduling considering the use of wind power. The effectiveness of proposed model and algorithm is also verified with examples.