摘要
鸡群优化算法是模仿鸡群觅食的群体智慧发展而来的生物启发式算法,将鸡群优化算法应用到配电网重构当中,充分利用鸡群优化算法高效的全局和局部搜索能力,快速寻找使配电网在满足约束条件下目标函数最小的网络状态,保证配电网运行的经济性和可靠性。给出了基于鸡群优化算法的配电网重构具体实现流程,以IEEE33节点系统为例,采用鸡群优化算法(CSO)和粒子群算法(PSO)两种算法进行仿真实验,结果表明鸡群优化算法较粒子群算法搜索效率平均提高了11.6%,寻优速度更快更稳定。
The chicken swarm optimization algorithm is a biological heuristic algorithm which imitates chicken swarm foraging of collective intelligence development. The chicken swarm optimization algorithm was applied in distribution network reconfi guration. This algorithm was with the high-effi ciency global and local search capability to rapidly look for the network state with minimal objective function meeting the constraint requirements in distribution network, so as to ensure the economical effi ciency and reliability of distribution network operation. This paper gave the concrete realization fl owchart of distribution network reconfi guration, took the IEEE33 nodes system for example and carried out simulation experiment with the algorithms of chicken swarm optimization and particle swarm optimization. The results show that the search effi ciency of chicken swarm optimization algorithm increases by 11.6% on average than the particle swarm algorithm, and optimization speed is faster and more stable.
出处
《电工电气》
2016年第3期20-24,共5页
Electrotechnics Electric
基金
国家自然科学基金项目(51477090)
关键词
鸡群优化算法
配电网重构
分类优化
环路编码
chicken swarm optimization algorithm
distribution network reconfi guration
classifi cation optimization
loop coding
