本文關(guān)鍵詞：含分布式電源配電系統(tǒng)的電壓質(zhì)量概率評(píng)估　出處：《蘭州理工大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 分布式電源 電壓質(zhì)量 概率潮流 2n+1點(diǎn)估計(jì)法 概率密度函數(shù) 電壓靜態(tài)穩(wěn)定性 負(fù)荷裕度

【摘要】：近年來,能源危機(jī)和環(huán)境污染問題日益突出,促使利用可再生能源的分布式發(fā)電技術(shù)大力發(fā)展起來。但是,大多數(shù)分布式電源功率輸出具有隨機(jī)性,由此給電力系統(tǒng)配電系統(tǒng)帶來了一系列電能質(zhì)量問題,尤其表現(xiàn)在電壓質(zhì)量方面,使得電壓質(zhì)量評(píng)估變得更加復(fù)雜,如何合理地對(duì)含分布式電源配電系統(tǒng)的電壓質(zhì)量進(jìn)行評(píng)估成為研究的重要問題。分布式電源的接入使得配電系統(tǒng)的運(yùn)行和控制面臨更多的不確定性,確定性潮流計(jì)算不再適用,為了考慮多種隨機(jī)因素,引入了概率潮流的思想。本文提出了一種基于2n+1點(diǎn)估計(jì)法的概率潮流計(jì)算方法,引入到含分布式電源的概率評(píng)估當(dāng)中,建立分布式電源、負(fù)荷的概率分布模型,通過概率潮流計(jì)算反映節(jié)點(diǎn)電壓的概率分布及其統(tǒng)計(jì)量信息,結(jié)合半不變量和Gram-Charlier級(jí)數(shù)展開得出概率密度函數(shù),分析比較了分布式電源接入前后對(duì)系統(tǒng)節(jié)點(diǎn)電壓的影響。以含有分布式電源的IEEE-30節(jié)點(diǎn)系統(tǒng)作為算例,以蒙特卡羅法仿真得到的結(jié)果作為參考,驗(yàn)證了本文方法的有效性。在此基礎(chǔ)上,又提出了一種基于2n+1點(diǎn)估計(jì)法的連續(xù)潮流算法并結(jié)合Cornish-Fisher級(jí)數(shù),通過對(duì)接入配電系統(tǒng)的分布式電源及負(fù)荷建立功率輸出的概率模型,對(duì)配電系統(tǒng)的節(jié)點(diǎn)電壓靜態(tài)穩(wěn)定性和網(wǎng)絡(luò)的負(fù)荷裕度進(jìn)行概率評(píng)估。以IEEE-34節(jié)點(diǎn)配電系統(tǒng)作為算例,使用所提方法計(jì)算并與蒙特卡羅法的仿真結(jié)果比較,得出該方法能有效的評(píng)估配電系統(tǒng)的靜態(tài)電壓穩(wěn)定性,具有速度快、精度高的優(yōu)點(diǎn)。
[Abstract]:In recent years, the energy crisis and environmental pollution have become increasingly prominent, promoting the development of distributed power generation technology using renewable energy. However, most of the distributed power output is random. This brings a series of power quality problems to power distribution system, especially in voltage quality, which makes voltage quality evaluation more complex. How to evaluate the voltage quality of distribution system with distributed power has become an important problem. The access of distributed power supply makes the operation and control of distribution system face more uncertainty. The idea of probabilistic power flow is introduced in order to consider a variety of random factors. In this paper, a method of calculating probabilistic power flow based on 2n 1 point estimation is proposed. The probabilistic distribution model of distributed power supply and load is established, and the probability distribution of node voltage and its statistic information are reflected by the calculation of probabilistic power flow. The probability density function is obtained by combining semi-invariant and Gram-Charlier series expansion. This paper analyzes and compares the influence of distributed power supply before and after access to the system node voltage. Taking the IEEE-30 node system with distributed power supply as an example, the results obtained by Monte Carlo simulation are taken as reference. The validity of this method is verified. On this basis, a continuous power flow algorithm based on 2n 1 point estimation method is proposed and combined with Cornish-Fisher series. The probabilistic model of power output is established by means of the distributed power supply and load connected to the distribution system. The static stability of the node voltage and the load margin of the distribution system are probabilistic evaluated. The IEEE-34 node distribution system is taken as an example. The proposed method is used to calculate and compare with the simulation results of Monte Carlo method. It is concluded that the proposed method can effectively evaluate the static voltage stability of the distribution system and has the advantages of high speed and high accuracy.
【學(xué)位授予單位】：蘭州理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TM744

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