微網(wǎng)系統(tǒng)潮流計(jì)算與運(yùn)行特性的分析
本文關(guān)鍵詞:微網(wǎng)系統(tǒng)潮流計(jì)算與運(yùn)行特性的分析 出處:《河北工業(yè)大學(xué)》2014年碩士論文 論文類型:學(xué)位論文
更多相關(guān)文章: 分布式發(fā)電 微網(wǎng) 隨機(jī)潮流計(jì)算 半不變量法 運(yùn)行特性
【摘要】:隨著全球工業(yè)和經(jīng)濟(jì)的快速發(fā)展,能源急劇消耗和環(huán)境危機(jī)所造成的問題已經(jīng)越來越突出;同時(shí)超大規(guī)模電力系統(tǒng)帶來的電網(wǎng)脆弱性也已暴露。為了解決上述問題,基于可再生能源的分布式發(fā)電技術(shù)得以迅速發(fā)展。作為智能電網(wǎng)的一個(gè)重要組成部分,微網(wǎng)應(yīng)運(yùn)而生。微網(wǎng)能夠協(xié)調(diào)分布式發(fā)電與大電網(wǎng)的矛盾,提高電力系統(tǒng)的供電可靠性。潮流計(jì)算是研究電力系統(tǒng)運(yùn)行情況的一種基本電氣計(jì)算,由于分布式電源以及負(fù)荷的隨機(jī)性,確定性潮流計(jì)算方法已難以滿足需求。而隨機(jī)潮流計(jì)算可以考慮隨機(jī)性的影響,因此對(duì)隨機(jī)潮流計(jì)算進(jìn)行研究是十分必要的。本文主要對(duì)微網(wǎng)系統(tǒng)的隨機(jī)潮流計(jì)算及運(yùn)行特性進(jìn)行研究分析。 首先,從隨機(jī)潮流計(jì)算常用的三種方法出發(fā),分析比較其基本原理以及各自的優(yōu)缺點(diǎn);并且研究了隨機(jī)潮流計(jì)算的數(shù)學(xué)基礎(chǔ),包括概率密度函數(shù)和累積分布函數(shù)、數(shù)學(xué)期望、方差、中心矩、半不變量、Gram-Charlier級(jí)數(shù);建立了儲(chǔ)能元件、負(fù)荷、風(fēng)力發(fā)電機(jī)和燃料電池的隨機(jī)模型,,為微網(wǎng)隨機(jī)潮流計(jì)算奠定基礎(chǔ)。 其次,針對(duì)隨機(jī)潮流計(jì)算常用三種方法的不足,提出了基于蒙特卡羅模擬的半不變量法的改進(jìn)方法。該方法對(duì)注入功率分布函數(shù)服從正態(tài)分布或離散分布采用常規(guī)數(shù)值方法計(jì)算其半不變量;對(duì)注入功率分布函數(shù)未知或其他分布采用蒙特卡羅抽樣的方法計(jì)算其半不變量。該方法解決了傳統(tǒng)半不變量法在注入功率未知分布函數(shù)的情況下難以求解半不變量的問題,同時(shí)保持了其準(zhǔn)確性和快速性。編寫該方法的程序,通過具體實(shí)例進(jìn)行計(jì)算,并將Matlab上的計(jì)算結(jié)果與蒙特卡羅模擬法的結(jié)果進(jìn)行比較,驗(yàn)證了該方法的準(zhǔn)確性、可靠性和快速性。 最后,建立微網(wǎng)系統(tǒng)模型,結(jié)合本文所提算法,對(duì)微網(wǎng)系統(tǒng)潮流的運(yùn)行特性進(jìn)行分析,主要分析相同容量不同微電源對(duì)微網(wǎng)系統(tǒng)電壓的影響。Matlab的仿真結(jié)果表明相同容量不同微電源對(duì)微網(wǎng)系統(tǒng)電壓的影響與其隨機(jī)性成正比,同時(shí)儲(chǔ)能元件的接入可以減小微網(wǎng)系統(tǒng)的電壓波動(dòng),對(duì)電能質(zhì)量有一定的改善作用。
[Abstract]:With the rapid development of global industry and economy, the problems caused by rapid energy consumption and environmental crisis have become more and more prominent. In order to solve the above problems, distributed generation technology based on renewable energy has been developed rapidly. It is an important part of smart grid. Micro-grid emerges as the times require. Microgrid can coordinate the contradiction between distributed generation and large power grid, and improve the power supply reliability of power system. Power flow calculation is a basic electrical calculation to study the operation of power system. Due to the randomness of distributed power generation and load, the deterministic power flow calculation method is difficult to meet the demand, but stochastic power flow calculation can consider the influence of randomness. Therefore, it is necessary to study the stochastic power flow calculation. In this paper, the stochastic power flow calculation and operation characteristics of micro-grid system are studied and analyzed. Firstly, the basic principle, advantages and disadvantages of the three methods used in random power flow calculation are analyzed and compared. The mathematical basis of stochastic power flow calculation is studied, including probability density function and cumulative distribution function, mathematical expectation, variance, central moment, semi-invariant Gram-Charlier series. The stochastic model of energy storage element, load, wind turbine and fuel cell is established, which lays the foundation for stochastic power flow calculation of microgrid. Secondly, aiming at the deficiency of three common methods of stochastic power flow calculation. An improved method of semi-invariant method based on Monte Carlo simulation is proposed, in which the semi-invariant of injection power distribution function is calculated from normal distribution or discrete distribution by conventional numerical method. Monte-Carlo sampling method is used to calculate the semi-invariant of injection power distribution function or other distributions. This method solves the problem that the traditional semi-invariant method is difficult to solve the semi-invariant problem when the injection power distribution function is unknown. The question of quantity. At the same time, the accuracy and rapidity of the method are maintained. The program of this method is written, and the calculation results on Matlab are compared with the results of Monte Carlo simulation. The accuracy, reliability and rapidity of the method are verified. Finally, the micro-grid system model is established, and the operation characteristics of the micro-grid system power flow are analyzed in combination with the algorithm proposed in this paper. The simulation results of Matlab show that the effect of different micro-power supply of the same capacity on the voltage of micro-grid system is proportional to its randomness. At the same time, the access of energy storage elements can reduce the voltage fluctuation of the microgrid system, and improve the power quality to a certain extent.
【學(xué)位授予單位】:河北工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM744
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