中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
34期
6101-6108
,共8页
侯雨伸%王秀丽%段杰%郭静丽
侯雨伸%王秀麗%段傑%郭靜麗
후우신%왕수려%단걸%곽정려
输电线路除冰%覆冰预测%冰风荷载%时变强迫停运率%除冰优化调度
輸電線路除冰%覆冰預測%冰風荷載%時變彊迫停運率%除冰優化調度
수전선로제빙%복빙예측%빙풍하재%시변강박정운솔%제빙우화조도
transmission lines de-icing%icing forecast%ice and wind loads%time-variable forced outage rate%de-icing optimal scheduling
为了降低冰灾期间系统的运行风险,提出一种输电网线路除冰优化调度模型。由气象预测与线路覆冰预测得到冰灾期间线路的冰风荷载,以应力?强度干涉模型为工具计算线路的时变强迫停运率,作为冰灾期间系统风险评估的元件停运模型。考虑系统的运行水平与线路覆冰厚度等约束,以线路除冰停运计划为变量,以除冰期间系统的电量不足期望值最小为目标函数,建立动态0-1整数优化问题,采用遗传算法进行求解。以IEEE-RTS系统为研究对象,设计两组基于经验的除冰方案与优化模型求解的方案并进行比较。结果表明,在三组方案均保证线路安全的前提下,优化模型求解的方案,使系统在除冰周期具有最小的风险水平。该模型可作为冰灾前制定除冰计划的工具。
為瞭降低冰災期間繫統的運行風險,提齣一種輸電網線路除冰優化調度模型。由氣象預測與線路覆冰預測得到冰災期間線路的冰風荷載,以應力?彊度榦涉模型為工具計算線路的時變彊迫停運率,作為冰災期間繫統風險評估的元件停運模型。攷慮繫統的運行水平與線路覆冰厚度等約束,以線路除冰停運計劃為變量,以除冰期間繫統的電量不足期望值最小為目標函數,建立動態0-1整數優化問題,採用遺傳算法進行求解。以IEEE-RTS繫統為研究對象,設計兩組基于經驗的除冰方案與優化模型求解的方案併進行比較。結果錶明,在三組方案均保證線路安全的前提下,優化模型求解的方案,使繫統在除冰週期具有最小的風險水平。該模型可作為冰災前製定除冰計劃的工具。
위료강저빙재기간계통적운행풍험,제출일충수전망선로제빙우화조도모형。유기상예측여선로복빙예측득도빙재기간선로적빙풍하재,이응력?강도간섭모형위공구계산선로적시변강박정운솔,작위빙재기간계통풍험평고적원건정운모형。고필계통적운행수평여선로복빙후도등약속,이선로제빙정운계화위변량,이제빙기간계통적전량불족기망치최소위목표함수,건립동태0-1정수우화문제,채용유전산법진행구해。이IEEE-RTS계통위연구대상,설계량조기우경험적제빙방안여우화모형구해적방안병진행비교。결과표명,재삼조방안균보증선로안전적전제하,우화모형구해적방안,사계통재제빙주기구유최소적풍험수평。해모형가작위빙재전제정제빙계화적공구。
A model of transmission lines de-icing optimal scheduling was proposed in this paper to reduce the system risk during the ice storm. The ice and wind loads on lines could be calculated by weather and icing forecast. The time-variable forced outage rates of lines could be calculated by the load-strength interference model and it was the component outage model to evaluate the system risk during the ice storm. Considering the ice thickness constraints and system operating level, a dynamic 0-1 integer optimization problem for transmission lines de-icing scheduling, which was with the variables of lines de-icing outage scheme and the objective function of minimizing the value of expected energy not supplied, was proposed and the genetic algorithm was used to solve the programming problem. The proposed model was tested on the IEEE-RTS, and two cases of empirical de-icing scheme were designed to compare with the de-icing scheduling solution solved by the proposed model. The results indicate that under the premise that all three cases guarantee lines’ safety, the proposed model gives an appropriate de-icing scheme with minimum system risk. This model can be used as a tool to develop the de-icing scheme before the ice storm.