【摘要】：提出一種計及輸入變量相關(guān)性的改進(jìn)蒙特卡洛隨機(jī)潮流方法。該方法針對系統(tǒng)輸入變量多樣性和隨機(jī)性的特點,建立其混合高斯模型并根據(jù)測量數(shù)據(jù)進(jìn)行參數(shù)估計。在蒙特卡洛仿真基礎(chǔ)上,引入均勻設(shè)計抽樣技術(shù)提高采樣效率,并通過邊緣變換和Cholesky分解產(chǎn)生具有相關(guān)性的輸入變量樣本。采用多重線性化手段在加快計算速度的同時減小潮流方程線性化引起的截斷誤差。對IEEE 30和IEEE 118節(jié)點系統(tǒng)的測試分析,驗證了所提方法的準(zhǔn)確性、快速性和有效性。
[Abstract]:An improved Monte Carlo stochastic power flow method considering the correlation of input variables is proposed. According to the diversity and randomness of input variables, the mixed Gao Si model is established and the parameters are estimated according to the measured data. On the basis of Monte Carlo simulation, uniform design sampling technique is introduced to improve sampling efficiency, and correlation input variable samples are generated by edge transform and Cholesky decomposition. The method of multiple linearization is used to speed up the calculation and reduce the truncation error caused by linearization of power flow equation. The accuracy, rapidity and validity of the proposed method are verified by testing and analyzing the IEEE 30 and IEEE 118 bus systems.
【作者單位】： 東南大學(xué)電氣工程學(xué)院;國網(wǎng)江蘇省電力公司電力科學(xué)研究院;
【基金】：國家自然科學(xué)基金資助項目(51377021) 中央高�；究蒲袠I(yè)務(wù)費專項資金資助項目(2242016K41064) 國家電網(wǎng)公司科技項目“新能源發(fā)電預(yù)測誤差對電網(wǎng)安全運行影響評價方法研究”~~
【分類號】：TM712;TM744
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本文編號：2301882