摘要
针对配电网事故后重构算法进行论述,分析现今国内外已有算法优劣,提出一种新型的多目标随机机会约束规划模型,并应用混合智能算法搜索全局非劣解。模型引入开关操作时间为随机变量,以恢复供电时间最短和恢复供电负荷最大为优化模型目标,应用机会约束不等式表示重要用户的恢复供电次序,将随机模拟、神经元网络和遗传算法结合,设计出混合智能算法求解该多目标随机机会约束规划。
This paper introduces the research situation of distribution network reconfiguration algorithms and proposes a novel multi-objective random chance-constrained programming model using hybrid intelligent algorithm to search the best solution. The algorithm consists of Monte Carlo,GA and ANN. This model defines the operation time as a random variable and the totle operation time and load as the optimization aim. It uses the chance-constrained inequation to show the importance level of different customers.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2006年第2期91-94,共4页
Proceedings of the CSU-EPSA
关键词
事故
机会约束
随机规划
混合智能算法
faults
chance-constrained
random programming
hybrid intelligent algorithm
