基于改进粒子群算法的输电网扩展规划

针对标准粒子群（SPSO）算法易收敛到局部最优的缺点，采用了一种改进的粒子速度更新公式，即在SPSO算法速度更新公式的基础上，加入一个平均极值项，使得各粒子能参考其它同伴的信息；此外在算法迭代过程中加入变异操作，适时初始化失活粒子的位置和速度来保持种群多样性．在输电网扩展规划中的应用结果表明，上述两个操作可以提高PSO算法的收敛精度，使算法最终寻找到全局最优解，从而证明了改进粒子群（IPSO）算法的有效性．

Planning of Power Transmission Network Expansion Based on Improved Particle Swarm Optimization Algorithm

In view of the deficiency of Standard Particle Swarm Optimization(SPSO) algorithm,that is,easy convergence to the local optimum,an improved renewal equation of the particles' velocities is used,in which an average minimum on the renewal equation of SPSO is added so that each particle can refer to its companion's message.Furthermore,a mutation operation is added to the iterative process to initialize the positions and velocities of the unable particles in order to keep the diversity of particle swarm.The num...