电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2013年
20期
61-66
,共6页
熊小伏%李磊%方丽华%彭嵩%方嵩%沈智健
熊小伏%李磊%方麗華%彭嵩%方嵩%瀋智健
웅소복%리뢰%방려화%팽숭%방숭%침지건
配电网%气象因素%可靠性%维修计划%遗传算法
配電網%氣象因素%可靠性%維脩計劃%遺傳算法
배전망%기상인소%가고성%유수계화%유전산법
distribution network%meteorological factors%reliability%maintenance schedule%genetic algorithm
配电系统可靠性受气象因素的影响很大,为提高配电网在整个维修期间的可靠性,同时综合考虑被维修设备和其他设备所在的气象条件对维修风险带来的影响,提出一种计及可靠性和气象因素的配电网短期维修决策方法。与传统的配电网维修计划优化相比,该方法建立了不同气象条件下配电设备故障率及其修复时间计算模型。在计及维修规程约束、维修能力约束和电网结构约束的前提下,以可靠性指标损失最小为优化目标,建立了反映配电网期望停电持续时间和期望缺电量的系统风险综合指标。采用遗传优化算法,搜寻整个维修周期内系统综合风险指标最小的最佳维修计划。
配電繫統可靠性受氣象因素的影響很大,為提高配電網在整箇維脩期間的可靠性,同時綜閤攷慮被維脩設備和其他設備所在的氣象條件對維脩風險帶來的影響,提齣一種計及可靠性和氣象因素的配電網短期維脩決策方法。與傳統的配電網維脩計劃優化相比,該方法建立瞭不同氣象條件下配電設備故障率及其脩複時間計算模型。在計及維脩規程約束、維脩能力約束和電網結構約束的前提下,以可靠性指標損失最小為優化目標,建立瞭反映配電網期望停電持續時間和期望缺電量的繫統風險綜閤指標。採用遺傳優化算法,搜尋整箇維脩週期內繫統綜閤風險指標最小的最佳維脩計劃。
배전계통가고성수기상인소적영향흔대,위제고배전망재정개유수기간적가고성,동시종합고필피유수설비화기타설비소재적기상조건대유수풍험대래적영향,제출일충계급가고성화기상인소적배전망단기유수결책방법。여전통적배전망유수계화우화상비,해방법건립료불동기상조건하배전설비고장솔급기수복시간계산모형。재계급유수규정약속、유수능력약속화전망결구약속적전제하,이가고성지표손실최소위우화목표,건립료반영배전망기망정전지속시간화기망결전량적계통풍험종합지표。채용유전우화산법,수심정개유수주기내계통종합풍험지표최소적최가유수계화。
The meteorological factors have an effect on reliability of distribution system. In order to improve the reliability of the distribution network throughout the maintenance period, considering the effects of weather conditions of the maintenance equipment and the other equipment on the maintenance risk, a decision method of maintenance schedule for distribution system is proposed by considering reliability and meteorological factors. Compared with the traditional optimization of distribution network maintenance schedule, the calculation models for failure rate and repair time of distribution equipments under different meteorological conditions are established. At the same time, under the premise of considering the constraints of maintenance procedures, maintenance capacity and grid structure, with minimal loss of reliability index as the target of optimization, the system risk aggregative indicator that intensively reflects the system average interruption duration index and the expected energy not supplied is defined. The optimal maintenance schedule with the smallest system comprehensive risk index is searched by using genetic optimization algorithm.