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
21期
98-103
,共6页
安全分析%时间过程%分层聚类%特征数据%最优潮流
安全分析%時間過程%分層聚類%特徵數據%最優潮流
안전분석%시간과정%분층취류%특정수거%최우조류
security analysis%time course%hierarchical clustering%characteristic data%optimal power flow
现代电力系统具有结构复杂、子系统联系紧密、运行态势复杂多变等特点。因此，传统基于单一时间断面的N-1分析结果不足以保证系统运行安全。以节点负荷预测为基础，提出了一种基于时间过程的、能够考虑负荷变化趋势的N-1分析及继发性故障预警与调整方法。该方法首先采用分层聚类方法对节点负荷予以聚合划分，并利用数据挖掘技术提取表征每个划分区段负荷特性的特征数据。然后对初始预想故障进行安全分析，对故障后状态及负荷随时间变化引发的继发性故障进行预警，并对不安全时段采用最优潮流制定调整措施。最后通过算例分析，验证了所提方法在分析继发性故障方面的可行性与优越性。
現代電力繫統具有結構複雜、子繫統聯繫緊密、運行態勢複雜多變等特點。因此，傳統基于單一時間斷麵的N-1分析結果不足以保證繫統運行安全。以節點負荷預測為基礎，提齣瞭一種基于時間過程的、能夠攷慮負荷變化趨勢的N-1分析及繼髮性故障預警與調整方法。該方法首先採用分層聚類方法對節點負荷予以聚閤劃分，併利用數據挖掘技術提取錶徵每箇劃分區段負荷特性的特徵數據。然後對初始預想故障進行安全分析，對故障後狀態及負荷隨時間變化引髮的繼髮性故障進行預警，併對不安全時段採用最優潮流製定調整措施。最後通過算例分析，驗證瞭所提方法在分析繼髮性故障方麵的可行性與優越性。
현대전력계통구유결구복잡、자계통련계긴밀、운행태세복잡다변등특점。인차，전통기우단일시간단면적N-1분석결과불족이보증계통운행안전。이절점부하예측위기출，제출료일충기우시간과정적、능구고필부하변화추세적N-1분석급계발성고장예경여조정방법。해방법수선채용분층취류방법대절점부하여이취합화분，병이용수거알굴기술제취표정매개화분구단부하특성적특정수거。연후대초시예상고장진행안전분석，대고장후상태급부하수시간변화인발적계발성고장진행예경，병대불안전시단채용최우조류제정조정조시。최후통과산례분석，험증료소제방법재분석계발성고장방면적가행성여우월성。
Modern power systems are featured with complicated structure, strong connection, and changeable operation patterns. Therefore, the result of traditional N-1 security analysis based on single study case is not sufficient to ensure the secure operation of the power system. Based on the forecasted nodal curve, this paper proposes a method of improved N-1 analysis, which is time process oriented and considers the load tendency, and hence provides a new way for early warnings and corrective control of subsequent fault. There are two steps in the method, firstly, a hierarchical clustering method is used to partition the nodal curve, and then the technology of data mining is used to extract the effective characteristic data that can represent the load variation of each time segment. Secondly, security analysis of initial contingency is carried out to perform early warnings for subsequent fault, which is triggered by the overloads caused by initial contingency and changeable load tendency. Adjustment measures for the unsecure time segment are developed with optimal power flow. To verify the feasibility and superiority of this method, a testing scenario is provided and the result shows the correctness.
