电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
18期
40-45
,共6页
梁博淼%王宏%林振智%福拴%杨滢%陈文进
樑博淼%王宏%林振智%福拴%楊瀅%陳文進
량박묘%왕굉%림진지%복전%양형%진문진
应急服务%多点选址%优化模型%停电损失%Floyd算法%电力系统
應急服務%多點選阯%優化模型%停電損失%Floyd算法%電力繫統
응급복무%다점선지%우화모형%정전손실%Floyd산법%전력계통
emergency service%multi-point siting%optimization model%power supply interruption cost%Floyd algorithm%power systems
合理规划电力系统应急服务点对于保证应急资源及时运送,进而降低停电损失具有重要意义。现有电力系统应急方面的研究多侧重于应急平台建设和相关指标体系构建,而对应急服务点选址优化问题则研究较少。在此背景下,通过综合考虑用户停电损失、停电时限约束及应急服务点的服务成本,建立了以电力应急总成本最小为优化目标的应急服务多点选址的优化模型,并采用Floyd算法求解该优化模型。最后,用算例说明了所构建模型的正确性与所采用算法的有效性。
閤理規劃電力繫統應急服務點對于保證應急資源及時運送,進而降低停電損失具有重要意義。現有電力繫統應急方麵的研究多側重于應急平檯建設和相關指標體繫構建,而對應急服務點選阯優化問題則研究較少。在此揹景下,通過綜閤攷慮用戶停電損失、停電時限約束及應急服務點的服務成本,建立瞭以電力應急總成本最小為優化目標的應急服務多點選阯的優化模型,併採用Floyd算法求解該優化模型。最後,用算例說明瞭所構建模型的正確性與所採用算法的有效性。
합리규화전력계통응급복무점대우보증응급자원급시운송,진이강저정전손실구유중요의의。현유전력계통응급방면적연구다측중우응급평태건설화상관지표체계구건,이대응급복무점선지우화문제칙연구교소。재차배경하,통과종합고필용호정전손실、정전시한약속급응급복무점적복무성본,건립료이전력응급총성본최소위우화목표적응급복무다점선지적우화모형,병채용Floyd산법구해해우화모형。최후,용산례설명료소구건모형적정학성여소채용산법적유효성。
Reasonable siting of power emergency multi-point service provisions is very demanding for ensuring timely delivery of power emergency service resources,and hence reduces the outage costs of power supply.The existing research work on power emergency service provisions is mainly focused on the establishment of a power emergency service platform and the associate evaluation system.Up to now,the optimal siting of power emergency service provisions has not yet been systematically addressed.Given this background,with the minimization of the overall cost of power emergency service provisions as the obj ective and the permitted outage durations of all loads as constraints,an optimization model is presented for the optimal multi-point siting problem of power emergency service provisions.The overall cost is composed of the annual construction and service cost of each service point,as well as power supply interruption costs of all important loads.Then,the well-established Floyd algorithm is employed to solve the developed optimization model.Finally,a sample system is served for demonstrating the developed optimization model and solving algorithm.