提出并建立了在線評估電力系統(tǒng)安全性的方法.首先建立電力系統(tǒng)元件的模糊隸屬度函數(shù),獲取其安全隸屬度(SMG)；然后通過建立的2階模糊控制器,分別得到發(fā)電方,輸電方和負荷部分的最小安全隸屬度( SSMG),最后綜合輸出全局模糊指標.其中運用梯形模糊集求取系統(tǒng)關鍵元件模糊隸屬度,不同于針對最脆弱系統(tǒng)狀態(tài)進行離線篩選的傳統(tǒng)方法,適應電力系統(tǒng)多樣性特點,能連續(xù)不斷量化電力系統(tǒng)的安全狀態(tài),可根據(jù)潮流實時數(shù)據(jù)、狀態(tài)估計和潮流分析程序?qū)ο到y(tǒng)安全水平進行不斷跟蹤.全局模糊指標能比較直觀地使系統(tǒng)運行員識別不安全狀態(tài),連續(xù)監(jiān)控系統(tǒng)實際運行到不安全狀態(tài)的距離.對IEEE30節(jié)點系統(tǒng)進行的仿真計算證明了所提出模型和算法的有效性.%The paper proposes a new on-line assessment method for power system security. First, the fuzzy membership function of power system components is established to obtain each security membership grade (SMG) value; and then the proposed two first-order fuzzy controllers are used to get the smallest security membership grade (SSMG) of the segment of generation, transmission and load nodes, finally comprehensively output the global fuzzy index. Trapezoid fuzzy sets are used for obtaining the fuzzy membership of key components of system. It can adapt to the diversity characteristics of power system, which is different from the traditional method which screens offline according to the most vulnerable systems. It can continuously quantify the state of power system security and can track the system safety level continuously according to the flow real-time data, state estimation and power flow analysis program. The global fuzzy index let the system operator vividly identify the unsafe condition and continuously monitor the distance between the real state and unsafe state. Simulation results of IEEE30-bus system prove that both the proposed model and method are effective.
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