电力系统自动化2024，Vol.48Issue(14)：157-166,10.DOI:10.7500/AEPS20230720008
考虑负荷停电差异化的配电自动化终端混合优化配置方法
Hybrid Optimal Configuration Method for Distribution Automation Terminal Considering Load Outage Differentiation
摘要
Abstract
The fault indicators(FIs)with low cost and flexible installation are often used in conjunction with the feeder remote terminal units(FRTUs)with remote control capability to accomplish fault location and isolation in distribution networks to reduce load outage time.The selective deployment of FRTUs and FIs with distribution automation terminals at each switching location or branch line of the distribution network can reduce the cost of fault outage losses.For this purpose,a new hybrid optimal configuration method for FRTUs and FIs considering the outage differentiation of each power supply load is proposed.Firstly,according to the relative positions of the load to be analyzed,the fault point,the superior 110 kV/35 kV substation,and the contact switch,the relationship equation of the differentiated outage time of each power supply load based on the hybrid configuration scheme of FRTUs and FIs is established considering the whole process of fault location,fault isolation,and power supply restoration under the synergistic effect of FRTUs and FIs.Then,a mathematical model of hybrid optimal configuration is constructed with the objective of minimizing the sum of the whole life cycle cost and fault outage loss cost of FRTUs and FIs,and the optimization solution is completed.Finally,the effectiveness of the proposed method is verified by the CSG 53-bus test system.关键词
配电网/馈线远程终端单元/故障指示器/混合优化配置/故障定位/故障隔离Key words
distribution network/feeder remote terminal unit/fault indicator/hybrid optimal configuration/fault location/fault isolation引用本文复制引用
唐金锐,鲍柯方,曹芸玉,詹申俊,侯慧,袁成清..考虑负荷停电差异化的配电自动化终端混合优化配置方法[J].电力系统自动化,2024,48(14):157-166,10.基金项目
国家重点研发计划资助项目(2021YFB2601602) （2021YFB2601602）
已申请国家发明专利(申请号:CN202111142470,CN202010633154). This work is supported by National Key R&D Program of China(No.2021YFB2601602). （申请号:CN202111142470,CN202010633154）
