摘要
为了快速得到智能配电网故障后的最优自愈方案,提出了一种基于启发式规则和人工免疫的配电网自愈方法.首先,分析了免疫抗体选择过程和电网自愈方案选择过程的相似性,并提出电网自愈的数学模型.然后,根据启发式规则生成自愈方案候选集.最后,利用人工免疫方程从负荷停电损失、网络损失和开关操作次数3个方面对所有自愈方案进行综合评价,确定最优的自愈方案.以五馈线配电网络为例,对其发生故障后自愈方案的选择进行仿真分析.仿真结果验证了该方法的可行性和有效性.
In order to obtain optimal self-healing program after the failure of the smart distribution network quickly,the heuristic rules and artificial immune method based on self-healing distribution network are proposed.Firstly,the similarity of antibody selection process and self-healing grid program selection process are compared and the mathematical model of self-healing grid is proposed.Then,the self-healing program generates a candidate set based on heuristic rules.Finally,by using artificial immune from load power loss equation,network losses and the number of switching operations of all three aspects of selfhealing program,a comprehensive assessment is given to determine the optimal healing program.In this paper,the five-feeder distribution network is shown for example and simulations of the choices after a failure of self-healing solutions are analyzed.Simulation results verify the feasibility and effectiveness of this method.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2016年第2期218-222,共5页
Engineering Journal of Wuhan University
基金
国家自然科学基金项目(编号:51107090)
关键词
配电网自愈
自愈模型
启发式规则
人工免疫
self-healing of distribution network
self-healing model
heuristic rules
artificial immune
