摘要
基于状态检修中设备性能要求与系统可靠性要求之间的矛盾,在传统状态检修的基础上,提出一种考虑最大供电能力(TSC)提升的配电网区域机会维修模型。提出一种区域机会维修模型以确定检修区域,该模型综合考虑设备个体性能、系统可靠性要求、设备间的关联、系统网络结构等关键因素,在此基础上,提出一种以TSC提升为目标函数的负荷转移模型,该模型通过节点深度编码(NDE)技术与遗传算法(GA)相结合的优化算法优化网络结构来得到满意的重构网络。以IEEE 33节点系统为例验证了所提算法提升TSC的有效性,以RBTS Bus2可靠性测试系统为例验证了考虑TSC提升的区域机会维修模型的有效性、实用性和科学性。
Aiming at the contradiction between the performance requirements of equipments and the reliability re- quirements of the system during the condition-based maintenance,a regional opportunistic maintenance model for the distribution network is proposed based on the traditional condition-based maintenance,which considers the improve- ment of TSC( Total Supply Capability). A regional opportunistic maintenance model is built to determine the mainte- nance area, which comprehensively considers the key factors, i.e. individual performance of equipment, reliability re- quirement of system, correlation between equipments, system network structure, etc. On this basis, a load transfer model with the improvement of TSC as its objective function is built, which optimizes the network structure by the al- gorithm combining NDE(Node-DepthEneoding) and GA(Genetic Algorithm) to obtain the satisfactory reconstruction network. IEEE 33-bus system is taken as an example to verify the effectiveness of the proposed algo- rithm in improving TSC, and the effectiveness, practicality and scientificalness of the proposed model is verified by RBTS Bus2 reliability test system.
出处
《电力自动化设备》
EI
CSCD
北大核心
2018年第3期50-55,62,共7页
Electric Power Automation Equipment
关键词
区域机会维修
TSC
NDE-GA
状态检修
配电网
模型
regional opportunistic maintenance
TSC
NDE-GA
condition-based maintenance
distribution network
models