【摘要】 根据电力系统无功优化问题的特点,提出一种用于电力系统无功优化的最小欧氏距离下改进竞争小生境粒子群算法,利用该算法来克服粒子群优化算法容易早熟而陷入局部最优解的不足。通过对测试系统IEEE30节点进行电力系统无功优化的仿真,说明该算法能以更快的速度得到最优解,其性能明显优于其他算法更多还原

【Abstract】 According to the characteristics of reactive power optimization,this paper proposes the minimum Euclidean distance(1 + 1) competitive niche particle swarm algorithm(PSO) for power system reactive power optimization,which avoids the disadvantage of PSO algorithm that is premature easily and trapped in local optimum.Through the simulation on IEEE 30-bus test system,the results show that the optimal solution can be obtained by the algorithm and the performance of the algorithm is far better than that of other algorithms.更多还原