Research Of Optimal Power Flow Using Particle Swarm Optimization Algorithm

Optimal Power Flow (OPF) can be defined as a typical flexible nonlinear programming problem with many targets. With the extending of electric power system scale and the increasing of constraint conditions, the OPF has already become a complicated large-scale mathematics programming problem. In recent years, Particle Swarm Optimization (PSO) algorithm, because of the unique theoretical basic and virtue, has provided new ways and means to solve the large-scale and non-linear complicated power system problem.After comparing and discussing the up-to-date researches and applications of the classical algorithm of OPF, the modern optimization and other algorithms, a new method has proposed in this paper, which uses PSO technique to solve OPF problem. The method can convert OPF problem into unconstrained extreme value problem using intellectual optimizing characteristics. The PSO algorithm is used in the searching, which has the parallel processing characteristic is easy to realize, and can enhance robustness and effectively improve the global convergence performance and calculation accuracy. This method uses the target function information to guide the search of solution space and overcomes the difficulties in approximate treatment and assumption of classical optimization algorithm.A mathematical model, which adjusts non-stationary penalty factor to assurance the global search performance and enhance the rate of convergence according to constraint condition, has been established in this paper. The PSO algorithm considers incorporation of non-stationary penalty function, can significantly handle equality constrain and inequality constrain of OPF problem, hence it is applied to research reactive power optimization and available transfer capability problems. The proposed PSO method is demonstrated on the standard IEEE 30-bus system. The investigations has revealed that the PSO method is capable of obtaining higher quality solutions efficiently in OPF problem, and the results show its high efficiency and promising practical applications. The conclusion for the whole work is put forward. Innovation and shortage are pointed out, and improved viewpoint are given. At last, the application prospect of PSO in the field of power system is presented.