【摘要】：微電網(wǎng)是促進(jìn)分布式電源大規(guī)模應(yīng)用的有效途徑之一。微電網(wǎng)運(yùn)行經(jīng)濟(jì)性的提高能夠?yàn)槠湮磥?lái)的發(fā)展和推廣奠定基礎(chǔ)。微電網(wǎng)經(jīng)濟(jì)運(yùn)行研究當(dāng)中,通過(guò)分布式電源選址定容優(yōu)化能夠降低線路的損耗,然而現(xiàn)有研究的側(cè)重點(diǎn)主要是分析對(duì)配電網(wǎng)網(wǎng)損的影響,對(duì)微電網(wǎng)內(nèi)部網(wǎng)損影響的研究并不完善；另外,傳統(tǒng)基于集中控制的儲(chǔ)能優(yōu)化方法隨著微電網(wǎng)規(guī)模的擴(kuò)大控制難度也會(huì)逐漸增加,有一定的局限性,而分散控制則能滿足微電網(wǎng)未來(lái)發(fā)展的需求。因此,本論文將針對(duì)上述兩個(gè)方面展開研究。 首先,本論文分析了光伏發(fā)電系統(tǒng)、蓄電池系統(tǒng)以及微電網(wǎng)線路損耗的數(shù)學(xué)模型,并構(gòu)建了光伏發(fā)電系統(tǒng)和蓄電池系統(tǒng)的SIMULINK仿真模型。驗(yàn)證了光伏系統(tǒng)基于占空比擾動(dòng)觀察法的最大功率跟蹤控制方法和蓄電池恒母線電壓充放電策略的有效性。 其次,結(jié)合本論文分析的微電網(wǎng)線路損耗模型與求解目標(biāo)、約束條件等構(gòu)建了分布式電源選址定容優(yōu)化的數(shù)學(xué)模型。運(yùn)用免疫算法對(duì)模型進(jìn)行求解,并編寫程序在MATLAB中進(jìn)行了仿真驗(yàn)證。 最后,運(yùn)用小波神經(jīng)網(wǎng)絡(luò)算法對(duì)微電網(wǎng)中分布式電源發(fā)電值以及系統(tǒng)負(fù)載值進(jìn)行短期預(yù)測(cè),在此基礎(chǔ)上建立了一種基于蓄電池荷電狀態(tài)、實(shí)時(shí)電價(jià)、分布式電源當(dāng)前發(fā)電和負(fù)載功率以及未來(lái)短期發(fā)電負(fù)載預(yù)測(cè)功率的模糊控制策略,并通過(guò)SIMULINK進(jìn)行了仿真驗(yàn)證。 研究結(jié)果表明,本文設(shè)計(jì)的基于免疫算法的分布式電源選址定容優(yōu)化方法與基于模糊控制的儲(chǔ)能系統(tǒng)充放電優(yōu)化算法可提高微電網(wǎng)運(yùn)行的經(jīng)濟(jì)性。其中,分布式電源經(jīng)選址定容優(yōu)化之后能夠使微電網(wǎng)內(nèi)部線路總長(zhǎng)度降低58.9%,總網(wǎng)損由3.9%下降至0.539%；儲(chǔ)能系統(tǒng)充放電優(yōu)化后能夠利用實(shí)時(shí)電價(jià)創(chuàng)造額外9.8%的經(jīng)濟(jì)效益。論文的相關(guān)研究結(jié)果對(duì)微電網(wǎng)的經(jīng)濟(jì)運(yùn)行具有一定的理論價(jià)值和工程應(yīng)用價(jià)值。
[Abstract]:Microgrid is one of the effective ways to promote the large-scale application of distributed generation. The improvement of microgrid operation economy can lay a foundation for its future development and promotion. In the research of economic operation of microgrid, the loss of transmission line can be reduced by optimizing the location and capacity of distributed generation. However, the emphasis of the present research is to analyze the influence on the network loss of distribution network. The research on the influence of internal network loss on microgrid is not perfect. In addition, the traditional energy storage optimization method based on centralized control will gradually increase the difficulty of microgrid control with the expansion of the scale, and has some limitations, while decentralized control can meet the needs of the future development of microgrid. Therefore, this thesis will focus on the above two aspects. Firstly, this paper analyzes the mathematical models of photovoltaic power generation system, battery system and microgrid line loss, and constructs the SIMULINK simulation model of photovoltaic power system and battery system. The effectiveness of the maximum power tracking control method based on the duty cycle perturbation observation method and the charging and discharging strategy of battery constant bus voltage are verified. Secondly, the mathematical model of distributed power source location and capacity optimization is constructed by combining the line loss model and solving target, constraint condition and so on of the microgrid analyzed in this paper. The immune algorithm is used to solve the model, and a program is written for simulation in MATLAB. Finally, the wavelet neural network algorithm is used to predict the generation value and system load value of distributed generation in microgrid, and a real-time electricity price based on the charging state of battery is established. The fuzzy control strategy for the current generation and load power of distributed power generation and the predicted power of future short-term generation load is verified by SIMULINK simulation. The results show that the immune algorithm based on the immune algorithm and the fuzzy control algorithm can improve the economy of micro-grid operation. The total length of the microgrid line can be reduced by 58.9 and the total network loss can be reduced from 3.9% to 0.539% after the distributed power generation is optimized by location and volume. After charging and discharging optimization, the energy storage system can make use of the real-time electricity price to create an extra 9. 8% economic benefit. The research results of this paper have certain theoretical value and engineering application value to the economic operation of microgrid.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM732

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉波;張焰;楊娜;;改進(jìn)的粒子群優(yōu)化算法在分布式電源選址和定容中的應(yīng)用[J];電工技術(shù)學(xué)報(bào);2008年02期

2 卞海紅;萬(wàn)秋蘭;徐青山;;可再生能源微網(wǎng)發(fā)電系統(tǒng)的可行性研究[J];電力需求側(cè)管理;2008年05期

3 王成山;陳愷;謝瑩華;鄭海峰;;配電網(wǎng)擴(kuò)展規(guī)劃中分布式電源的選址和定容[J];電力系統(tǒng)自動(dòng)化;2006年03期

4 魯宗相;王彩霞;閔勇;周雙喜;呂金祥;王云波;;微電網(wǎng)研究綜述[J];電力系統(tǒng)自動(dòng)化;2007年19期

5 劉志鵬;文福拴;薛禹勝;辛建波;G.LEDWICH;;計(jì)及可入網(wǎng)電動(dòng)汽車的分布式電源最優(yōu)選址和定容[J];電力系統(tǒng)自動(dòng)化;2011年18期

6 吳云亞;闞加榮;謝少軍;;適用于低壓微電網(wǎng)的逆變器控制策略設(shè)計(jì)[J];電力系統(tǒng)自動(dòng)化;2012年06期

7 張文亮;丘明;來(lái)小康;;儲(chǔ)能技術(shù)在電力系統(tǒng)中的應(yīng)用[J];電網(wǎng)技術(shù);2008年07期

8 鄭漳華;艾芊;;微電網(wǎng)的研究現(xiàn)狀及在我國(guó)的應(yīng)用前景[J];電網(wǎng)技術(shù);2008年16期

9 劉東冉;陳樹勇;馬敏;王皓懷;侯俊賢;馬世英;;光伏發(fā)電系統(tǒng)模型綜述[J];電網(wǎng)技術(shù);2011年08期

10 陳中華;趙敏榮;葛亮;李慧玉;;硅太陽(yáng)電池?cái)?shù)學(xué)模型的簡(jiǎn)化[J];上海電力學(xué)院學(xué)報(bào);2006年02期

相關(guān)博士學(xué)位論文 前1條

1 張金良;電力市場(chǎng)環(huán)境下的短期電價(jià)混合預(yù)測(cè)模型研究[D];華北電力大學(xué)（北京）;2011年

，

本文編號(hào)：2320467