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含可控串補(bǔ)的電力系統(tǒng)可靠性非同調(diào)和靈敏度分析

發(fā)布時(shí)間:2018-09-07 18:37
【摘要】:可控串聯(lián)補(bǔ)償(thyristor controlled series compensation,TCSC)被廣泛用于當(dāng)代電力系統(tǒng)中,系統(tǒng)可靠性非同調(diào)指增加(減少)元件使系統(tǒng)可靠性降低(提高),可靠性靈敏度指系統(tǒng)可靠性對(duì)元件參數(shù)求導(dǎo)。本文針對(duì)含TCSC電力系統(tǒng)的可靠性非同調(diào)和可靠性靈敏度兩個(gè)方面進(jìn)行研究,主要研究成果如下:(1)TCSC設(shè)備可靠性建模。首先將TCSC等效為等值阻抗元件和其旁路斷路器并聯(lián),建立TCSC簡(jiǎn)易可靠性模型。然后進(jìn)一步將TCSC內(nèi)部部件細(xì)致劃分為不同層次子系統(tǒng),提出TCSC可靠性分層等值詳細(xì)模型。(2)基于TCSC簡(jiǎn)易模型,分析電力系統(tǒng)非同調(diào)特性。首先提出期望載荷和可靠性兩方面指標(biāo)關(guān)于TCSC可靠性參數(shù)解析模型,分析發(fā)現(xiàn)指標(biāo)均關(guān)于TCSC參數(shù)同調(diào)。然后提出安裝TCSC前后指標(biāo)差值的解析模型、同調(diào)條件、同調(diào)裕度、非同調(diào)臨界條件用以分析TCSC元件非同調(diào)特性。最后分析可靠性參數(shù)、負(fù)荷水平、補(bǔ)償度、串補(bǔ)線路載荷約束對(duì)非同調(diào)特性影響。算例表明TCSC參數(shù)大于臨界值時(shí),系統(tǒng)非同調(diào);補(bǔ)償度越小、負(fù)荷水平越低、串補(bǔ)線路載荷約束范圍越寬,非同調(diào)越易發(fā)生;斷路器故障更易造成非同調(diào)。(3)基于TCSC詳細(xì)模型,提出電力系統(tǒng)可靠性對(duì)TCSC部件可靠性參數(shù)的靈敏度分解算法。首先推導(dǎo)系統(tǒng)可靠性對(duì)多狀態(tài)串補(bǔ)線路靈敏度解析模型,并提出串補(bǔ)線路對(duì)TCSC部件靈敏度模型。進(jìn)而提出系統(tǒng)可靠性對(duì)TCSC部件靈敏度分解算法,靈敏度大小用以獲取薄弱部件,利用靈敏度正負(fù)判斷同調(diào)性。最后加入風(fēng)電,分析風(fēng)功率隨機(jī)性對(duì)TCSC薄弱部件的影響。算例驗(yàn)證了算法可行性和正確性,有助于發(fā)現(xiàn)和改善柔性交流輸電設(shè)備的薄弱環(huán)節(jié),由于風(fēng)電容量小,電力不足期望靈敏度受風(fēng)電隨機(jī)性影響比失負(fù)荷概率受風(fēng)電影響小。
[Abstract]:Thyristor series compensation (thyristor controlled series compensation,TCSC) is widely used in modern power systems. The increase (decrease) of system reliability nonhomology index makes the system reliability decrease (improve), and reliability sensitivity refers to the derivation of system reliability to component parameters. In this paper, the reliability and reliability sensitivity of power system with TCSC is studied. The main research results are as follows: (1) Reliability modeling of TCSC equipment. At first, TCSC is equivalent to equivalent impedance element and its bypass circuit breaker is connected in parallel, and a simple reliability model of TCSC is established. Then, the internal components of TCSC are further divided into different levels of subsystems, and the hierarchical equivalent detailed model of TCSC reliability is proposed. (2) based on the simple TCSC model, the nonhomology characteristics of power system are analyzed. First, the analytical model of TCSC reliability parameters is presented in terms of expected load and reliability. It is found that the indexes are all related to TCSC parameters. Then an analytical model, homology condition, homology margin and nonhomology critical condition are proposed to analyze the nonhomology characteristics of TCSC elements before and after the installation of TCSC. Finally, the effects of reliability parameters, load level, compensation degree and load constraints on nonhomology characteristics are analyzed. The calculation example shows that the system is nonhomology when the TCSC parameter is larger than the critical value, the lower the compensation degree is, the lower the load level is, the wider the load constraint range of series-compensated line is, and the more easily non-homology occurs, the fault of circuit breaker is more likely to cause non-homology. (3) based on the detailed TCSC model, A sensitivity decomposition algorithm of power system reliability to TCSC reliability parameters is proposed. Firstly, an analytical model of the sensitivity of the system reliability to the multi-state series compensation line is derived, and the sensitivity model of the series compensation line to the TCSC part is proposed. Furthermore, a sensitivity decomposition algorithm for system reliability to TCSC parts is proposed. The sensitivity is used to obtain the weak parts, and the sensitivity is used to judge the homotonicity of the components. Finally, wind power is added to analyze the influence of wind power randomness on the weak parts of TCSC. The example proves the feasibility and correctness of the algorithm, which is helpful to find and improve the weak links of flexible AC transmission equipment. Due to the small wind power capacity, the expected sensitivity of power shortage is less affected by the randomness of wind power than by the probability of losing load.
【學(xué)位授予單位】:合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM732

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