微網(wǎng)運(yùn)行優(yōu)化方法研究
本文選題:微網(wǎng) + 分布式發(fā)電 ; 參考:《華北電力大學(xué)》2014年碩士論文
【摘要】:目前,分布式發(fā)電(Distributed Generation,DG)的發(fā)展已經(jīng)漸入佳境,而作為分布式電源并網(wǎng)發(fā)電的有效技術(shù)手段,能夠使新能源和可再生能源得到合理、高效利用的微網(wǎng)技術(shù)也隨之日新月異,得到了世界各國的鄭重對待。隨著能源和環(huán)境問題的日益突出,分布式發(fā)電因其具有能源利用效率高、環(huán)境負(fù)面影響小、提高能源供應(yīng)可靠性和經(jīng)濟(jì)效益好等特點(diǎn),成為近些年倍受關(guān)注的一種發(fā)電形式。但由于分布式電源的不可控性及隨機(jī)波動性,其滲透率的提高也會影響電力系統(tǒng)的可靠性。微網(wǎng)是一種新型能源網(wǎng)絡(luò)化供應(yīng)與管理技術(shù),能給可再生能源系統(tǒng)的接入提供便利、避免分布式電源對大電網(wǎng)的沖擊、實(shí)現(xiàn)需求側(cè)管理及現(xiàn)有能源的最大化利用。微網(wǎng)整合了分布式電源與內(nèi)部負(fù)荷,使之相對于大電網(wǎng)成為一個(gè)統(tǒng)一模塊,便于大電網(wǎng)調(diào)度管理,削弱了分布式電源單獨(dú)并網(wǎng)的種種弊端。微網(wǎng)可以為微網(wǎng)內(nèi)部負(fù)荷提供可靠、優(yōu)質(zhì)的電能,并且在發(fā)生重大自然災(zāi)害或事故時(shí)能夠保證微網(wǎng)內(nèi)部負(fù)荷的供電需求。為了實(shí)現(xiàn)微網(wǎng)的以上優(yōu)勢,需要研究針對微網(wǎng)的成熟的運(yùn)行和管理技術(shù),因此微網(wǎng)的運(yùn)行優(yōu)化問題是微網(wǎng)研究的重中之重。本文研究了微網(wǎng)的經(jīng)濟(jì)負(fù)荷分配和運(yùn)行優(yōu)化方法。 本文首先介紹了微網(wǎng)的多目標(biāo)優(yōu)化運(yùn)行研究的現(xiàn)狀,探討了微網(wǎng)系統(tǒng)經(jīng)濟(jì)運(yùn)行優(yōu)化模型的建立和優(yōu)化算法;然后將萬有引力搜索算法進(jìn)行多重改進(jìn),并應(yīng)用到微網(wǎng)的運(yùn)行優(yōu)化問題中來。通過分析微網(wǎng)本身的結(jié)構(gòu)特點(diǎn)及微電源的特性,對微電源進(jìn)行了符合運(yùn)行問題要求的數(shù)學(xué)建模;考慮多個(gè)子目標(biāo)函數(shù)和多重約束條件,建立了微網(wǎng)運(yùn)行優(yōu)化的數(shù)學(xué)函數(shù),將萬有引力搜索算法進(jìn)行了多重改進(jìn),應(yīng)用于微網(wǎng)的運(yùn)行優(yōu)化,仿真分析證明,改進(jìn)的萬有引力搜索算法能夠很好地解決微網(wǎng)的經(jīng)濟(jì)運(yùn)行優(yōu)化問題;為了更好地實(shí)現(xiàn)對微網(wǎng)的控制,在分析微網(wǎng)內(nèi)部各類微電源的電氣特性的基礎(chǔ)上,,采用二進(jìn)制算法對萬有引力搜索算法進(jìn)行進(jìn)一步的改進(jìn),用于解決微網(wǎng)內(nèi)部微電源的機(jī)組組合優(yōu)化,取得了良好的效果。
[Abstract]:At present, the development of Distributed Generation (DG) has been getting better and better, and as an effective technical means of grid connected generation of distributed power supply, it can make new and renewable energy get reasonable and efficient use of micro network technology. With the characteristics of high efficiency of energy utilization, small negative impact of environment, improving the reliability of energy supply and good economic benefits, distributed generation has become a kind of power generation in recent years. However, the increase of permeability will also affect the power system because of the uncontrollability and random volatility of distributed power. Micro network is a new type of energy network supply and management technology, which can provide convenience for access to renewable energy systems, avoid the impact of distributed power on large grid, realize demand side management and maximize the utilization of existing energy. Micronetworks integrate distributed power and internal load to make it relative to large power grid. The unified module is convenient for the management of large power grid dispatching, which weakens the disadvantages of the distributed power grid. The micro network can provide reliable and high quality electrical energy for the internal load of the micronetwork, and can guarantee the power supply requirement of the internal load in the micro network in the occurrence of major natural disasters or accidents. The mature operation and management technology of micronetwork, so the optimization problem of micronetwork operation is the most important of micronetwork research. This paper studies the method of economic load distribution and operation optimization of micronet.
This paper first introduces the present situation of the research on the multi-objective optimization operation of micronet, discusses the establishment and optimization algorithm of the optimization model of the micro network economic operation, and then improves the universal gravitational search algorithm and applies it to the optimization of the micro network. By analyzing the structure characteristics of the micronet and the characteristics of the micro power supply, The mathematical modeling which meets the requirements of the operation problem is carried out on the micro power supply. Considering the multiple sub objective functions and multiple constraint conditions, the mathematical function of the optimization of the micro network operation is established, and the universal gravitational search algorithm is improved and applied to the operation optimization of the micro network. The simulation analysis proves that the improved universal gravitational search algorithm can be good. In order to solve the optimization problem of the micro network economic operation, in order to better realize the control of the micro network, based on the analysis of the electrical characteristics of various micro power sources inside the micronet, the binary algorithm is used to further improve the universal gravitational search algorithm, which is used to solve the unit combination optimization of micro power supply in the micro network, and has achieved good results. Fruit.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM732
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 劉涌;侯志儉;蔣傳文;;求解機(jī)組組合問題的改進(jìn)離散粒子群算法[J];電力系統(tǒng)自動化;2006年04期
2 丁明;包敏;吳紅斌;馬婉玲;茆美琴;;復(fù)合能源分布式發(fā)電系統(tǒng)的機(jī)組組合問題[J];電力系統(tǒng)自動化;2008年06期
3 丁明;嚴(yán)流進(jìn);茆美琴;楊為;;分布式發(fā)電中燃料電池的建模與控制[J];電網(wǎng)技術(shù);2009年09期
4 楊維,李歧強(qiáng);粒子群優(yōu)化算法綜述[J];中國工程科學(xué);2004年05期
5 劉勇;馬良;;非線性極大極小問題的混沌萬有引力搜索算法求解[J];計(jì)算機(jī)應(yīng)用研究;2012年01期
6 張維平;任雪飛;李國強(qiáng);牛培峰;;改進(jìn)的萬有引力搜索算法在函數(shù)優(yōu)化中的應(yīng)用[J];計(jì)算機(jī)應(yīng)用;2013年05期
7 王興剛;;從智能微網(wǎng)到智能配電網(wǎng)的分析[J];云南電力技術(shù);2009年04期
8 余貽鑫;欒文鵬;;智能電網(wǎng)述評[J];中國電機(jī)工程學(xué)報(bào);2009年34期
9 丁明;張穎媛;茆美琴;劉小平;徐寧舟;;包含鈉硫電池儲能的微網(wǎng)系統(tǒng)經(jīng)濟(jì)運(yùn)行優(yōu)化[J];中國電機(jī)工程學(xué)報(bào);2011年04期
10 吳小珊;張步涵;袁小明;李高望;羅鋼;周楊;;求解含風(fēng)電場的電力系統(tǒng)機(jī)組組合問題的改進(jìn)量子離散粒子群優(yōu)化方法[J];中國電機(jī)工程學(xué)報(bào);2013年04期
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