基于改进多目标骨干粒子群算法的电力系统环境经济调度

针对粒子群优化算法种群多样性不足、易陷入局部寻优的问题,提出一种基于改进多目标骨干粒子群优化算法(improved bare-bones multi-objective particle swarm optimization,IBBMOPSO)的电力系统环境经济调度的求解方法.IBBMOPSO采用一种搜索权重非线性递减...

Economic emission dispatch of power system based on improved bare-bone multi-objective particle swarm optimization algorithm

Aiming at the insufficient population diversity of the particle swarm optimization algorithm and the problem of falling into local optimization easily, this paper proposes a method for economic emission dispatch of power systems based on the improved bare-bones multi-objective particle swarm optimization(IBBMOPSO). The IBBMOPSO adopts a non-linear decreasing strategy of search weight to improve the position update mode of the bare-bones particle swarm and designs different position update strategies for the worst particles in different search stages to balance the algorithm''s global search ability and local search ability. The IBBMOPSO selects the global optimal solution according to the particle crowding distance and uses the distance evaluation index to select the compromise optimal solution. Finally, the 6-machine IEEE30-node standard test system is simulated and compared with other algorithms. The results show that the IBBMOPSO is superior to other algorithms in solving the problem of power system economic emission dispatch, and has good feasibility and effectiveness.