本文選題：隨機(jī)潮流 + 靜態(tài)安全分析��； 參考：《東南大學(xué)》2015年碩士論文

【摘要】：靜態(tài)安全分析是電力系統(tǒng)規(guī)劃和運(yùn)行中的一個基本問題。傳統(tǒng)的電力系統(tǒng)靜態(tài)安全分析,采用確定性的潮流計算方法。但隨著區(qū)域大電網(wǎng)互聯(lián)結(jié)構(gòu)日趨緊密以及風(fēng)能發(fā)電、太陽能發(fā)電等新能源發(fā)電的不斷接入,電力系統(tǒng)中的不確定性因素大大增加,傳統(tǒng)的逐點(diǎn)分析方法日益暴露出局限性,不確定分析方法,特別是隨機(jī)潮流方法開始受到人們的重視。隨機(jī)潮流考慮了發(fā)電機(jī)隨機(jī)出力和負(fù)荷波動等不確定因素對系統(tǒng)的影響,通過計算得到節(jié)點(diǎn)電壓和支路潮流的隨機(jī)分布,為規(guī)劃、運(yùn)行人員提供更全面的信息。本文在研究了基于半不變量和Gram-Charlier級數(shù)展開的隨機(jī)潮流計算方法的基礎(chǔ)上,將其應(yīng)用于靜態(tài)安全分析中。首先,介紹了半不變量理論和Gram-Charlier級數(shù),并針對Gram-Charlier級數(shù)展開法在離散分布求解的不足,采用了一種Von Mises方法進(jìn)行求解,得到了較好的效果。然后,建立了發(fā)電機(jī)、負(fù)荷和風(fēng)電場的隨機(jī)模型,建立了直流潮流隨機(jī)模型和交流潮流隨機(jī)模型,并從標(biāo)準(zhǔn)直流潮流的假設(shè)條件出發(fā),引入修正因子對其進(jìn)行修正,降低誤差,并采用IEEE14節(jié)點(diǎn)系統(tǒng)和某省級電網(wǎng)實(shí)際系統(tǒng)作為算例進(jìn)行了驗證。針對現(xiàn)有電力系統(tǒng)靜態(tài)安全分析所采用的故障行為指標(biāo)無法適用于存在不確定性因素的情況,提出了一種將不確定因素對支路功率的影響和支路的負(fù)載率結(jié)合起來的故障排序行為指標(biāo),并在引入補(bǔ)償法模擬支路開斷的基礎(chǔ)上,根據(jù)該行為指標(biāo),采用改進(jìn)的直流潮流算法進(jìn)行預(yù)想事故自動選擇與排序,得到預(yù)想事故一覽表。然后,采用線性化交流隨機(jī)潮流依次對一覽表中的預(yù)想事故進(jìn)行準(zhǔn)確的N-1校驗。最后,采用IEEE14節(jié)點(diǎn)系統(tǒng)和某省級電網(wǎng)實(shí)際系統(tǒng)作為算例進(jìn)行分析,結(jié)果表明本文所述方法能夠全面的反映嚴(yán)重預(yù)想事故對系統(tǒng)的影響,而且計算速度較快,證明了所述方法的有效性和實(shí)用性。
[Abstract]:Static safety analysis is a basic problem in power system planning and operation. The traditional static security analysis of power system adopts deterministic power flow calculation method. However, with the increasingly close interconnection structure of regional large power grid and the continuous access of new energy generation such as wind power generation and solar power generation, the uncertainty factors in power system are greatly increased, and the traditional point-by-point analysis method increasingly exposes its limitations. Uncertain analysis methods, especially stochastic power flow methods, have been paid more and more attention. The random power flow takes into account the influence of uncertain factors such as generator random output force and load fluctuation on the system. The random distribution of node voltage and branch power flow is obtained by calculation, which provides more comprehensive information for planning and operation personnel. Based on the study of the stochastic power flow calculation method based on semi-invariant and Gram-Charlier series expansion, this paper applies it to static security analysis. Firstly, the semi-invariant theory and Gram-Charlier series are introduced, and a Von Mises method is used to solve the problems of Gram-Charlier series expansion method in discrete distribution. Then, the random models of generator, load and wind farm, DC power flow random model and AC power flow random model are established, and based on the assumption of standard DC power flow, the correction factor is introduced to reduce the error. The IEEE 14 bus system and a provincial power system are used as examples. In view of the failure behavior index used in the static safety analysis of power system, it can not be applied to the situation where there are uncertain factors. A fault sequencing behavior index which combines the influence of uncertain factors on branch power and the load rate of branch is proposed, and the compensation method is introduced to simulate the branch breaking, according to the behavior index. An improved DC power flow algorithm is used to automatically select and sort the expected accidents, and a list of the expected accidents is obtained. Then, the linear alternating current random power flow is used to calibrate the expected accidents in the list. Finally, the IEEE 14 bus system and a provincial power system are used as examples. The results show that the method presented in this paper can fully reflect the impact of serious accidents on the system, and the calculation speed is fast. The validity and practicability of the method are proved.
【學(xué)位授予單位】：東南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TM711

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 蔣平;楊紹進(jìn);霍雨，

本文編號：1992784