本文關(guān)鍵詞：基于遺傳算法和圖論的配電網(wǎng)重構(gòu)研究　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 網(wǎng)絡(luò)重構(gòu) 遺傳算法 圖論 降損

【摘要】：配電網(wǎng)絡(luò)承擔(dān)著將高壓電力網(wǎng)絡(luò)和用戶連接在一起的任務(wù)。一般,配電網(wǎng)絡(luò)的結(jié)構(gòu)大多為閉式網(wǎng)絡(luò)但其運(yùn)行時(shí)則以開環(huán)網(wǎng)絡(luò)運(yùn)行,且一般具有多個(gè)開環(huán)點(diǎn)。由于電壓等級相對較低,其運(yùn)行時(shí)一般損耗較大。配電網(wǎng)重構(gòu)則以及時(shí)更換配電開關(guān)的運(yùn)行狀態(tài)以達(dá)到優(yōu)化配電網(wǎng)運(yùn)行方式的目的。通常,配電開關(guān)有兩類：區(qū)域聯(lián)絡(luò)開關(guān)和線路開關(guān),通過開關(guān)運(yùn)行狀態(tài)的更換可以降低系統(tǒng)網(wǎng)絡(luò)損耗并使各條線路的負(fù)荷率較為均衡,配電網(wǎng)重構(gòu)(DNRC)是一個(gè)減少系統(tǒng)損失、平衡負(fù)載、隔離故障、恢復(fù)網(wǎng)絡(luò)正常運(yùn)行及減小運(yùn)營成本等至關(guān)重要的方式。雖然以上目標(biāo)可以通過其他不同途徑實(shí)現(xiàn),但是配電網(wǎng)重構(gòu)是一個(gè)實(shí)現(xiàn)它們的通用途徑。眾所周知,饋線主體部分的重構(gòu)是使系統(tǒng)損失最小化的最理想實(shí)現(xiàn)方式。論文研究配電網(wǎng)重構(gòu)問題,具有顯著地理論和現(xiàn)實(shí)意義。 論文的主要研究工作和取得的創(chuàng)新成果如下： 配電網(wǎng)重構(gòu)的目的是為了在經(jīng)濟(jì)運(yùn)行的方式下滿足用戶的用電需求,因此在對配網(wǎng)重構(gòu)進(jìn)行分析時(shí)有必要進(jìn)行潮流計(jì)算。由于針對節(jié)點(diǎn)眾多的配電網(wǎng),高斯-賽德爾和牛頓-拉夫遜方法以及快速解耦法時(shí)常出現(xiàn)潮流計(jì)算結(jié)果不收斂的情況,在此情況下,由于良好的適應(yīng)性,前推回代法成為一個(gè)較好的潮流計(jì)算工具被用于配電網(wǎng)潮流計(jì)算。 很多研究者采用多種技術(shù)方法解決配電網(wǎng)絡(luò)的重構(gòu)問題：研究者們慣于使用傳統(tǒng)方法、啟發(fā)式技術(shù)、人工智能、進(jìn)化編程等方式在不同程度上解決了該問題。然而,論文將圖論和遺傳算法結(jié)合起來,用于解決配電網(wǎng)重構(gòu)問題。圖論用于產(chǎn)生初始種群,以確保配電網(wǎng)絡(luò)的輻射型結(jié)構(gòu),這可使配電網(wǎng)絡(luò)的輻射狀結(jié)構(gòu)檢查工作大大簡化。 遺傳算法用于保證得到配網(wǎng)重構(gòu)的可行解。本論文采用Matlab編程技術(shù),同時(shí)選用IEEE33節(jié)點(diǎn)系統(tǒng)進(jìn)行了算例分析。論文分別選取三種目標(biāo)函數(shù)對算例進(jìn)行求解：總網(wǎng)損最小、負(fù)荷均衡率最高以及將兩個(gè)目標(biāo)相結(jié)合。同時(shí)對結(jié)果進(jìn)行了分析,分析結(jié)果顯示了所提算法的有效性。
[Abstract]:The distribution network is responsible for the task of connecting the high-voltage power network with the users. In general, the structure of the distribution network is mostly closed network, but it operates as an open-loop network. And generally have a plurality of open-loop points, because the voltage level is relatively low. In order to optimize the operation mode of distribution network, there are usually two types of distribution switch: area contact switch and line switch, while the distribution network reconfiguration changes the operation state of distribution switch in time to achieve the purpose of optimizing the operation mode of distribution network. The switching operation state can reduce the system network loss and make the load rate of each line more balanced. The distribution network reconfiguration (DNRC) is a way to reduce the system losses, balance the load, and isolate the fault. Although the above objectives can be achieved through other different ways, distribution network reconfiguration is a common way to realize them. The reconfiguration of the main part of the feeder line is the most ideal way to minimize the system loss. This paper studies the reconfiguration of the distribution network, which has significant theoretical and practical significance. The main research work and the innovative achievements of the thesis are as follows: The purpose of distribution network reconfiguration is to meet the needs of users in the economic operation mode, so it is necessary to carry out power flow calculation in the analysis of distribution network reconfiguration, because of the distribution network with a large number of nodes. Gauss-Seidel and Newton-Raphson methods and fast decoupling methods often occur when the results of power flow calculation do not converge. In this case, due to good adaptability. The forward-push-back method has become a better power flow calculation tool for distribution network power flow calculation. Many researchers use a variety of techniques to solve the problem of distribution network reconfiguration: researchers are used to traditional methods, heuristic techniques, artificial intelligence. Evolutionary programming has solved the problem to some extent. However, this paper combines graph theory with genetic algorithm to solve the problem of distribution network reconfiguration, and graph theory is used to generate initial population. In order to ensure the radiative structure of the distribution network, the inspection of the radial structure of the distribution network can be greatly simplified. Genetic algorithm is used to ensure the feasible solution of distribution network reconfiguration. This paper adopts Matlab programming technology. At the same time, the IEEE33 node system is selected for the example analysis. Three kinds of objective functions are selected to solve the example: the total network loss is minimum. The load balancing rate is the highest and the two targets are combined. The results are analyzed and the results show the effectiveness of the proposed algorithm.
【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

【共引文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

1 何禹清;配電網(wǎng)快速可靠性評估及重構(gòu)方法研究[D];湖南大學(xué);2011年

相關(guān)碩士學(xué)位論文 前10條

1 劉釗;基于魚群克隆遺傳算法的配電網(wǎng)絡(luò)重構(gòu)研究[D];中南大學(xué);2011年

2 季朝旭;基于遺傳算法的DG配電網(wǎng)故障恢復(fù)策略研究[D];昆明理工大學(xué);2011年

3 朱春濤;基于粒子群遺傳混合算法的配電網(wǎng)重構(gòu)研究[D];南京理工大學(xué);2012年

4 陳榮;城市高壓配電網(wǎng)優(yōu)化重構(gòu)的研究[D];河海大學(xué);2007年

5 任志強(qiáng);基于改進(jìn)遺傳算法的配電網(wǎng)絡(luò)重構(gòu)研究[D];東北電力大學(xué);2008年

6 張雨佳;遺傳退火算法在城市配電網(wǎng)重構(gòu)中的應(yīng)用[D];天津大學(xué);2007年

7 羅錦文;基于蟻群克隆遺傳算法的配電網(wǎng)重構(gòu)研究[D];中南大學(xué);2010年

8 臧天磊;配電網(wǎng)靜態(tài)優(yōu)化與故障恢復(fù)重構(gòu)策略研究[D];西南交通大學(xué);2012年

9 楊澤;基于嵌入式系統(tǒng)的配電網(wǎng)絡(luò)重構(gòu)模擬實(shí)驗(yàn)平臺的研究與設(shè)計(jì)[D];中南大學(xué);2012年

10 易波;基于二次協(xié)作優(yōu)化方法的配電網(wǎng)重構(gòu)[D];長沙理工大學(xué);2013年

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本文編號：1439498