电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2015年
1期
164-168
,共5页
黄嘉健%王昌照%郑文杰%汪隆君
黃嘉健%王昌照%鄭文傑%汪隆君
황가건%왕창조%정문걸%왕륭군
配电网%可靠性检修%状态监测%规格化法向约束方法
配電網%可靠性檢脩%狀態鑑測%規格化法嚮約束方法
배전망%가고성검수%상태감측%규격화법향약속방법
distribution network%reliability-centered maintenance%condition monitoring%normalized normal constraint method
针对配电网检修的对象选取主观性强、可靠性评估采用历史平均数据等问题,提出基于状态监测的配电网可靠性检修选择模型及算法。根据设备状态监测量与故障率的关系,建立了以检修前后系统平均停电频率、系统平均停电时间、系统缺电量的变化量最大为目标,以预算成本和人力资源为约束条件的多目标配电网可靠性检修选择模型,基于规格化法向约束方法高效准确获得完整且均匀分布的Pareto前沿,采用模糊选择策略确定最优折中解。对RBTS-BUS6系统的计算表明,所提出模型及算法能够有效求解配电网可靠性检修问题。
針對配電網檢脩的對象選取主觀性彊、可靠性評估採用歷史平均數據等問題,提齣基于狀態鑑測的配電網可靠性檢脩選擇模型及算法。根據設備狀態鑑測量與故障率的關繫,建立瞭以檢脩前後繫統平均停電頻率、繫統平均停電時間、繫統缺電量的變化量最大為目標,以預算成本和人力資源為約束條件的多目標配電網可靠性檢脩選擇模型,基于規格化法嚮約束方法高效準確穫得完整且均勻分佈的Pareto前沿,採用模糊選擇策略確定最優摺中解。對RBTS-BUS6繫統的計算錶明,所提齣模型及算法能夠有效求解配電網可靠性檢脩問題。
침대배전망검수적대상선취주관성강、가고성평고채용역사평균수거등문제,제출기우상태감측적배전망가고성검수선택모형급산법。근거설비상태감측량여고장솔적관계,건립료이검수전후계통평균정전빈솔、계통평균정전시간、계통결전량적변화량최대위목표,이예산성본화인력자원위약속조건적다목표배전망가고성검수선택모형,기우규격화법향약속방법고효준학획득완정차균균분포적Pareto전연,채용모호선택책략학정최우절중해。대RBTS-BUS6계통적계산표명,소제출모형급산법능구유효구해배전망가고성검수문제。
In allusion to the subjective selection of maintenance objects and historical data based reliability assessment, a reliability-centered maintenance selection model for distribution network based on condition monitoring is put forward, and the solving algorithm is given. According to the quantitative relationship between condition monitoring variables of equipment and its failure rate, a multi-objective reliability-centered maintenance selection model, which maximizes variation of system average interruption frequency, system average interruption duration and expected energy not supplied with the constraints of budgets and human resources, is established; the normalized normal constraint method is employed to solve the model, and obtains fast and precisely Pareto frontier where the distribution of optimal solutions becomes uniform; the fuzzy selection strategy is used to determine the best compromise solution. The numerical results of RBTS-BUS6 system validate the effectiveness of the proposed reliability-centered maintenance selection model and the solving algorithm.