【摘要】：配電網(wǎng)重構(gòu)是配電自動(dòng)化內(nèi)容的重要組成部分,在保持配電網(wǎng)運(yùn)行經(jīng)濟(jì)性、提高供電質(zhì)量和供電可靠性方面,配電網(wǎng)重構(gòu)都是不錯(cuò)的選擇。在配電網(wǎng)正常運(yùn)行時(shí),可以通過(guò)改變網(wǎng)絡(luò)結(jié)構(gòu),調(diào)整開(kāi)關(guān)通斷狀態(tài),達(dá)到消除過(guò)載,平衡負(fù)荷,優(yōu)化網(wǎng)損的目的；在配電網(wǎng)出現(xiàn)故障時(shí),又可以隔離故障,并盡可能多的對(duì)非故障負(fù)荷恢復(fù)供電,減少停電區(qū)域。本文根據(jù)配電網(wǎng)的發(fā)展趨勢(shì),從配電網(wǎng)經(jīng)濟(jì)、安全、可靠性運(yùn)行方面考慮,得出配電網(wǎng)重構(gòu)將是一個(gè)多目標(biāo)優(yōu)化問(wèn)題,多目標(biāo)優(yōu)化將成為配電網(wǎng)重構(gòu)新的研究方向。在總結(jié)前人研究的基礎(chǔ)上,本文做了如下幾方面的工作。首先,本文分析了配電網(wǎng)的發(fā)展現(xiàn)狀以及配電網(wǎng)重構(gòu)的方法,根據(jù)配電網(wǎng)重構(gòu)的多目標(biāo)優(yōu)化的要求,本文提出了三個(gè)目標(biāo)函數(shù),即有功網(wǎng)損最優(yōu)、節(jié)點(diǎn)電壓偏移量最小以及負(fù)荷均衡化,分別從配電網(wǎng)的經(jīng)濟(jì)性,電能質(zhì)量和安全可靠性方面考慮。其次,較為詳細(xì)的闡述了遺傳算法的基本原理,并分析了遺傳算法在求解配電網(wǎng)單目標(biāo)和多目標(biāo)優(yōu)化時(shí)的優(yōu)勢(shì)和不足。由于簡(jiǎn)單遺傳算法在處理多目標(biāo)配電網(wǎng)重構(gòu)時(shí)效果不太好,權(quán)重系數(shù)對(duì)結(jié)果影響較大,因此引入了基于快速非支配排序的遺傳算法(NSGA-II),采用NSGA-II算法對(duì)種群個(gè)體進(jìn)行非支配排序分層,實(shí)現(xiàn)對(duì)種群中個(gè)體的全局最優(yōu),最終尋找到Pareto最優(yōu)前沿,得到多目標(biāo)配電網(wǎng)重構(gòu)的Pareto最優(yōu)解集：為了提高搜索效率,提出了一種對(duì)種群中“非法”個(gè)體篩選的方法。建立配電網(wǎng)絡(luò)節(jié)點(diǎn)和邊的關(guān)聯(lián)矩陣,在除去任意一行向量后,通過(guò)判斷矩陣中余下行向量是否線(xiàn)性相關(guān)來(lái)確定個(gè)體是否滿(mǎn)足配電網(wǎng)輻射結(jié)構(gòu)。最后,將快速非支配遺傳算法用于16節(jié)點(diǎn)和PGE的69節(jié)點(diǎn)的配電網(wǎng)重構(gòu)中,根據(jù)計(jì)算結(jié)果,表明結(jié)合配電網(wǎng)特點(diǎn)的NSGA-II算法,具有良好的全局搜索能力,能夠有效降低網(wǎng)絡(luò)損耗,提高節(jié)點(diǎn)電壓,平衡負(fù)荷,驗(yàn)證了NSGA-II算法在配電網(wǎng)重構(gòu)中的實(shí)用性。
[Abstract]:Distribution network reconfiguration is an important part of distribution automation. Distribution network reconfiguration is a good choice in maintaining the economic operation of distribution network and improving the quality and reliability of power supply. In the normal operation of the distribution network, we can change the network structure, adjust the on-off state of the switch to eliminate the overload, balance the load, optimize the network loss, and isolate the fault when the distribution network fails. And as much as possible to restore power to non-fault load, reduce power failure areas. According to the development trend of distribution network, considering the economy, security and reliability of distribution network, this paper concludes that the reconfiguration of distribution network will be a multi-objective optimization problem, and multi-objective optimization will become a new research direction of distribution network reconfiguration. On the basis of summing up the previous studies, this paper has done the following work. First of all, this paper analyzes the current situation of distribution network development and the method of distribution network reconfiguration. According to the requirements of multi-objective optimization of distribution network reconfiguration, this paper proposes three objective functions, that is, the optimal loss of active power network. The minimum node voltage offset and load equalization are considered in terms of economy, power quality and safety and reliability of distribution network. Secondly, the basic principle of genetic algorithm is described in detail, and the advantages and disadvantages of genetic algorithm in solving single-objective and multi-objective optimization of distribution network are analyzed. Because the simple genetic algorithm is not very effective in dealing with the reconfiguration of multi-objective distribution network, the weight coefficient has a great influence on the result. Therefore, the genetic algorithm (NSGA-II) based on fast undominated ordering is introduced, and the NSGA-II algorithm is used to stratify the individual in order to achieve the global optimization of the individual in the population, and finally to find the Pareto optimal frontier. The Pareto optimal solution set of multi-objective distribution network reconfiguration is obtained. In order to improve the search efficiency, a method of "illegal" individual selection in the population is proposed. The correlation matrix of distribution network nodes and edges is established. After removing any row of vectors, whether the residual downlink vectors in the matrix are linearly correlated or not is determined to determine whether the individual satisfies the radiation structure of the distribution network. Finally, the fast non-dominated genetic algorithm is applied to the distribution network reconfiguration of 16-bus and PGE 69-bus. According to the calculation results, the NSGA-II algorithm combined with the characteristics of the distribution network has good global search ability and can effectively reduce the network loss. The utility of NSGA-II algorithm in distribution network reconfiguration is verified by increasing node voltage and balancing load.
【學(xué)位授予單位】：長(zhǎng)沙理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TM727

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 朱峻;薛禹勝;;配電網(wǎng)系統(tǒng)恢復(fù)專(zhuān)家系統(tǒng)[J];電力系統(tǒng)自動(dòng)化;1991年03期

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本文編號(hào)：2228990