本文選題：電網(wǎng)脆弱性 + 奇異值熵��； 參考：《華北電力大學(xué)》2017年碩士論文

【摘要】：電網(wǎng)脆弱性描述了系統(tǒng)在正常運行時,所能夠承受干擾或故障的能力,以及不能夠維持正常運行的可能趨勢。對電網(wǎng)脆弱環(huán)節(jié)的辨識和脆弱性的評估,有助于把握電網(wǎng)脆弱性隨系統(tǒng)運行變化的規(guī)律,對預(yù)防連鎖故障具有重要意義。首先,從熵理論角度出發(fā),綜合考慮奇異值熵和潮流分布熵,提出了節(jié)點綜合評估指標。奇異值熵表征了節(jié)點負荷變化對系統(tǒng)中節(jié)點電壓幅值的影響,潮流分布熵體現(xiàn)了節(jié)點負荷變化對系統(tǒng)中線路潮流分布的影響。定義的節(jié)點綜合評估指標從電氣學(xué)的角度解釋了節(jié)點負荷變化對系統(tǒng)帶來的威脅�；谙到y(tǒng)平均負載率和能量熵定義了系統(tǒng)安全指標,通過對節(jié)點的連續(xù)攻擊分析評估模型的有效性和正確性。以IEEE 39節(jié)點系統(tǒng)和河北南網(wǎng)系統(tǒng)為仿真算例,驗證了方法的有效性。然后,為了辨識引發(fā)電力系統(tǒng)連鎖故障的脆弱線路,從事故發(fā)展的角度出發(fā),基于自組織臨界理論的冪律特性構(gòu)建了電網(wǎng)脆弱線路辨識模型。線路因保護的隱藏故障或過載而退出運行后,利用孤島搜索辨識引發(fā)系統(tǒng)解列的關(guān)鍵線路,然后綜合改進的潮流分布熵、靈敏度分析理論和OPF模型調(diào)整負荷水平和發(fā)電機出力,構(gòu)成了電網(wǎng)停電模擬模型。通過大量的仿真與統(tǒng)計,利用系統(tǒng)負荷損失量的冪律或冪率尾特性判斷系統(tǒng)是否達到臨界狀態(tài)。以IEEE 39節(jié)點系統(tǒng)為仿真算例,驗證了方法的正確性和有效性。最后,綜合考慮系統(tǒng)潮流分布、系統(tǒng)電壓穩(wěn)定性以及電網(wǎng)拓撲特性等因素構(gòu)建了電網(wǎng)脆弱性安全預(yù)警模型。最小奇異值可定量表示系統(tǒng)電壓與電壓靜穩(wěn)臨界點的距離,表征節(jié)點電壓穩(wěn)定狀態(tài);改進潮流熵綜合了網(wǎng)架結(jié)構(gòu)完整度和系統(tǒng)平均負載率,提高了信息熵表征電網(wǎng)潮流分布的準確性;最小奇異值靈敏度熵反映了系統(tǒng)所面臨負荷沖擊的風(fēng)險。綜合以上因素利用猶豫模糊決策方法綜合評估系統(tǒng)的脆弱節(jié)點。仿真算例評估了IEEE 39節(jié)點系統(tǒng)和河北南網(wǎng)實際系統(tǒng)的脆弱性,驗證了模型的有效性。
[Abstract]:Power grid vulnerability describes the ability of the system to withstand disturbances or failures when it is in normal operation, as well as the possible trend that it cannot maintain its normal operation. The identification and assessment of the vulnerability of power grid is helpful to grasp the law of the vulnerability changing with the operation of the system, and it is of great significance to prevent the cascading faults. Firstly, from the point of view of entropy theory, considering the entropy of singular value and the entropy of power flow distribution, a comprehensive evaluation index of nodes is proposed. The singular value entropy represents the effect of node load change on the voltage amplitude in the system, and the entropy of power flow distribution reflects the influence of node load change on the line power flow distribution in the system. The defined comprehensive evaluation index explains the threat to the system caused by the change of node load from the point of view of electrical science. Based on the system average load rate and energy entropy, the system security index is defined, and the validity and correctness of the model are evaluated by analyzing the continuous attack on nodes. The effectiveness of the method is verified by the simulation examples of IEEE 39 bus system and Hebei South Network system. Then, in order to identify the weak lines that cause cascading faults in power system, a power law model based on self-organizing criticality theory is constructed from the view of accident development. After the line is out of operation because of hidden fault or overload of protection, the key lines causing system unwinding are identified by islanding search, and then the improved power flow distribution entropy, sensitivity analysis theory and OPF model are used to adjust the load level and generator output. The simulation model of power outage is constructed. Through a large number of simulations and statistics, the power law or power rate tail characteristic of the system load loss is used to determine whether the system reaches the critical state or not. The IEEE 39 bus system is taken as a simulation example to verify the correctness and effectiveness of the method. Finally, considering the system power flow distribution, system voltage stability and network topology characteristics, a vulnerability security early warning model is built. The minimum singular value can quantitatively represent the distance between the voltage and the critical point of voltage static stability, and represent the voltage stability of the node, and the improved power flow entropy integrates the integrity of the grid structure and the average load rate of the system. The accuracy of information entropy for power flow distribution is improved, and the minimum singular value sensitivity entropy reflects the risk of load shock. Based on the above factors, the fragile nodes of the system are evaluated by the method of hesitating fuzzy decision. A simulation example is given to evaluate the vulnerability of the IEEE 39 bus system and the real system of Hebei South Network, and the validity of the model is verified.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM711

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