摘要
量子粒子群是在粒子群算法的基础上,引入了量子机制,它具有较好的全局收敛性。将量子粒子群算法应用于电网规划问题,克服了传统优化方法易陷入局部最优等缺点。通过18节点实例验证了该算法的可行性和有效性。
Quantum-behaved particle swarm optimization（QPSO） is based on the particle swarm optimization（PSO） by adding quantum mechanics,thus it has better global searching ability.Quantum-behaved particle swarm optimization was applied to the transmission network expansion planning issues in order to overcome the drawbacks of conventional mathematical optimization.Then this algorithm is applied on the 15 units system of two groups experimental,the results showed its methodological feasibility and efficiency.
出处
《科学技术与工程》
北大核心
2012年第2期322-324,共3页
Science Technology and Engineering
关键词
电网规划
量子粒子群
粒子群
transmission network expansion planning quantum-behaved particle swarm optimization particle swarm optimization
