摘要
提出一种基于风险评估的配电网检修决策优化模型,有效地融合不同的检修方式,并综合考虑设备状态及其发展、各类检修的作用、电网的运行方式等因素。模型计及电网检修风险和电网故障风险,以电网运行风险最小为优化目标,以电网安全约束、检修关系约束和检修资源约束等为约束条件,并采用粒子群优化算法进行求解。RBTS-BUS2系统仿真结果验证了所提模型的合理性和有效性。
A model of maintenance decision making optimization based on risk assessment is proposed for distribution system,which effectively combines different maintenance methods together and comprehensively considers different factors,such as device state ＆ its development,maintenance functions,grid operating modes,etc.With the consideration of grid maintenance and fault risks,it takes the minimum grid operation risk as its optimization objective and the grid safety,maintenance relation and maintenance resource as its constraints.The particle swarm optimization algorithm is adopted to solve the model.Its validity and effectiveness are verified by the simulative results for RBTS-BUS2 system.
出处
《电力自动化设备》
EI
CSCD
北大核心
2013年第11期1-8,共8页
Electric Power Automation Equipment
关键词
状态检修
风险评估
检修风险
故障风险
粒子群优化算法
配电
优化
模型
决策
condition-based maintenance
risk assessment
maintenance risk
fault risk
particle swarm optimization algorithm
electric power distribution
optimization
models
decision making
