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快速計(jì)算概率不安全指標(biāo)及基于DSR的運(yùn)行成本的優(yōu)化

發(fā)布時(shí)間:2019-06-19 04:56
【摘要】:隨著全球經(jīng)濟(jì)迅猛發(fā)展,聯(lián)合電力系統(tǒng)的出現(xiàn)滿足了用戶的需求,與此同時(shí),拓?fù)浣Y(jié)構(gòu)的復(fù)雜性和多變性也為大電網(wǎng)運(yùn)行埋下了安全隱患。傳統(tǒng)的安全性分析可以通過“逐點(diǎn)法”對(duì)系統(tǒng)運(yùn)行狀態(tài)進(jìn)行定性的判斷,但考慮到在進(jìn)行定性計(jì)算時(shí),會(huì)出現(xiàn)難以忍受的計(jì)算量和耗時(shí),因此所得到的結(jié)果也不令人滿意。動(dòng)態(tài)安全域的思想,可以將問題轉(zhuǎn)化為發(fā)生擾動(dòng)時(shí),系統(tǒng)運(yùn)行點(diǎn)是否還在一個(gè)域內(nèi)。同時(shí),動(dòng)態(tài)安全域也對(duì)系統(tǒng)運(yùn)行狀態(tài)進(jìn)行定量的判斷,即安全裕度以及概率不安全指標(biāo)。本文提出了基于角度旋轉(zhuǎn)法快速計(jì)算概率不安全指標(biāo)的方法。首先對(duì)系統(tǒng)輸電線路不同故障點(diǎn)的動(dòng)態(tài)安全域及邊界進(jìn)行大量仿真,發(fā)現(xiàn)不同故障點(diǎn)的動(dòng)態(tài)安全域邊界有近似平行的關(guān)系,且有一個(gè)空間夾角。同時(shí),從首端沿著線路延伸發(fā)生故障,各個(gè)超平面與參考超平面之間的夾角呈線性變化。因此,可以通過該規(guī)律,先用擬合法計(jì)算出故障首末兩端的DSR邊界超平面,再根據(jù)各超平面之間系數(shù)的線性關(guān)系進(jìn)行分析計(jì)算,快速求得各地故障時(shí)系統(tǒng)的概率不安全指標(biāo)。以WSCC4機(jī)11節(jié)點(diǎn)系統(tǒng)為例,可以得出:概率不安全指標(biāo)的數(shù)值基本一致,最大綜合誤差僅為2.84%,計(jì)算時(shí)間僅為擬合法所用時(shí)間的15.39%。同時(shí),系統(tǒng)越復(fù)雜,注入維數(shù)越多,角度均勻旋轉(zhuǎn)法的優(yōu)勢(shì)越明顯。通過快速計(jì)算概率不安全指標(biāo),可以快速判定系統(tǒng)的暫態(tài)運(yùn)行狀態(tài)。如果故障發(fā)生需要進(jìn)行緊急控制,就必然要考慮到系統(tǒng)需付出的正常運(yùn)行成本以及緊急控制措施的成本。因此,本文提出了以整個(gè)系統(tǒng)總期望成本為目標(biāo)函數(shù)的最優(yōu)化潮流模型,模型中計(jì)入了預(yù)想事故的發(fā)生概率。一部分成本為正常運(yùn)行時(shí)的成本;另一部分為最優(yōu)緊急控制措施的成本,將這兩部分成本按照其發(fā)生概率計(jì)入目標(biāo)函數(shù)。10機(jī)39節(jié)點(diǎn)算例表明,本文模型所得結(jié)果較傳統(tǒng)的考慮多個(gè)暫態(tài)穩(wěn)定約束的最優(yōu)化潮流模型總成本減少12%。
[Abstract]:With the rapid development of global economy, the emergence of joint power system meets the needs of users. At the same time, the complexity and variability of topology also lay a hidden danger for the operation of large power grid. The traditional security analysis can qualitatively judge the running state of the system by "point-by-point method", but considering that there will be unbearable computation and time consuming in the qualitative calculation, the results obtained are not satisfactory. The idea of dynamic security domain can transform the problem into whether the running point of the system is still in a domain when disturbance occurs. At the same time, the dynamic security domain also quantitatively judges the running state of the system, that is, the safety margin and probability insecurity index. In this paper, a fast calculation method of probability insecurity index based on angle rotation method is proposed. Firstly, a large number of simulations are carried out on the dynamic security domain and boundary of different fault points of the system transmission line, and it is found that the dynamic security domain boundary of different fault points is approximately parallel, and there is a spatial angle. At the same time, the fault occurs along the line extension from the first end, and the angle between each hyperplane and the reference hyperplane changes linearly. Therefore, through this law, the DSR boundary hyperplane at the beginning and end of the fault can be calculated by fitting method, and then the probability insecurity index of the system can be obtained quickly according to the linear relationship between the coefficients between the hyperplanes. Taking the 11-bus system of WSCC4 machine as an example, it can be concluded that the value of probability insecurity index is basically the same, the maximum synthesis error is only 2.84%, and the calculation time is only 15.39% of the time used by fitting method. At the same time, the more complex the system is and the more the injection dimension is, the more obvious the advantage of the angle uniform rotation method is. By calculating the probability insecurity index quickly, the transient operation state of the system can be determined quickly. If the fault needs emergency control, it is necessary to take into account the normal operation cost of the system and the cost of emergency control measures. Therefore, this paper proposes an optimal power flow model with the total expected cost of the whole system as the objective function, which takes into account the probability of the expected accident. One of the costs is the cost of normal operation, the other is the cost of the optimal emergency control measures, which is included in the objective function according to the probability of occurrence. The 39-node example of 10 machines shows that the total cost of the optimal power flow model with multiple transient stability constraints is reduced by 12% compared with the traditional optimal power flow model with multiple transient stability constraints.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM732

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