【摘要】：延拓參數(shù)算法在電力系統(tǒng)連續(xù)潮流分析中已獲得成功應(yīng)用,該算法進(jìn)一步發(fā)展為連續(xù)參數(shù)化軌跡追蹤(CPTT)仿真算法,應(yīng)用于暫態(tài)仿真計(jì)算中。CPTT方法避免了傳統(tǒng)仿真方法由代數(shù)奇點(diǎn)引起的數(shù)值積分發(fā)散問(wèn)題。但是,CPTT仿真算法中常用的切向預(yù)測(cè)存在一定缺陷,在故障開(kāi)始階段或故障趨于平緩階段,可能出現(xiàn)預(yù)測(cè)失敗,導(dǎo)致線性校正發(fā)散而無(wú)法繼續(xù)。本文提出一種線性-定弧長(zhǎng)混合校正技術(shù)的CPTT方法,解決了上述預(yù)測(cè)失敗問(wèn)題;通過(guò)合理選擇延拓參數(shù),不僅克服定弧長(zhǎng)校正可能引發(fā)的振蕩問(wèn)題,而且改善了仿真曲線出現(xiàn)"削峰平底"的現(xiàn)象,即軌跡失真問(wèn)題。本文算法收斂精度等價(jià)于一般隱式仿真算法,計(jì)算速度優(yōu)于傳統(tǒng)CPTT仿真算法,算例證明了該方法的合理性和工程應(yīng)用前景。
[Abstract]:The continuation parameter algorithm has been successfully applied in power system continuous power flow analysis. The algorithm is further developed into a continuous parameterized trajectory tracking (CPTT) simulation algorithm. The CPTT method is applied to transient simulation to avoid the numerical integral divergence caused by algebraic singularities. However, there are some defects in the tangential prediction commonly used in CPTT simulation algorithm. At the beginning of the fault or when the fault tends to be flat, the prediction failure may occur, which leads to the divergence of linear correction and the failure to continue. In this paper, a new CPTT method for linear and constant arc length correction is proposed, which solves the problem of prediction failure, and not only overcomes the oscillation problem caused by constant arc length correction, but also resolves the oscillation problem caused by reasonable selection of continuation parameters. Moreover, the phenomenon of "cutting peak and flat bottom" in simulation curve is improved, that is, trajectory distortion. The convergence accuracy of the proposed algorithm is equivalent to that of the general implicit simulation algorithm, and the computational speed is better than that of the traditional CPTT simulation algorithm. An example shows the rationality of the method and the prospect of its engineering application.
【作者單位】： 天津大學(xué)智能電網(wǎng)教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)(2015AA050403) 國(guó)家自然科學(xué)基金(51277128,51407125) 山東省青島市創(chuàng)新領(lǐng)軍人才項(xiàng)目(15-10-3-15-(43)-zch)資助
【分類號(hào)】：TM743

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