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基于和聲算法的含DG配電網(wǎng)故障定位研究

發(fā)布時(shí)間:2019-06-01 08:25
【摘要】:隨著能源結(jié)構(gòu)的變化和用戶對(duì)電能需求的日益增加,具有清潔環(huán)保、能耗低、供電靈活等優(yōu)勢(shì)的分布式發(fā)電技術(shù)得到了快速的發(fā)展。但是隨著分布式電源的接入,配電網(wǎng)由傳統(tǒng)的單電源輻射狀網(wǎng)絡(luò)發(fā)展為多電源復(fù)雜的供電網(wǎng)絡(luò),潮流方向隨機(jī)變化,給快速、準(zhǔn)確地進(jìn)行故障定位帶來(lái)了新的問題,研究新的算法來(lái)實(shí)現(xiàn)含分布式電源配電網(wǎng)的故障定位對(duì)于提高供電可靠性,減小停電范圍具有重要的實(shí)際意義。本文通過理論分析、應(yīng)用Matlab/Simulink搭建含DG配網(wǎng)模型對(duì)分布式電源接入配電網(wǎng)后的故障定位算法進(jìn)行研究。分析了分布式電源接入配電網(wǎng)后對(duì)短路電流的影響,得出分布式電源的接入對(duì)短路電流產(chǎn)生分流、助增和逆流等影響;建立了一種適應(yīng)DG配電網(wǎng)復(fù)雜結(jié)構(gòu)的開關(guān)函數(shù)模型,引入“樹”的區(qū)域劃分方法,剔除了無(wú)故障電流的無(wú)源樹枝,降低了解的維數(shù),提高了搜索效率;利用具有快速、準(zhǔn)確特點(diǎn)的和聲算法進(jìn)行全局尋優(yōu),通過具體的算例分析,驗(yàn)證了該算法的準(zhǔn)確性與快速性。本文對(duì)和聲算法的收斂速度和容錯(cuò)性進(jìn)行了研究。和聲算法相比于傳統(tǒng)的優(yōu)化算法具有概念簡(jiǎn)單,容易實(shí)現(xiàn)等優(yōu)點(diǎn),但該算法的和聲記憶庫(kù)是隨機(jī)產(chǎn)生的、具有不確定性,且對(duì)記憶庫(kù)的初始化具有很強(qiáng)的依賴性。為了提高該算法的定位速度和容錯(cuò)性,利用具有高度并行、魯棒性強(qiáng)等優(yōu)點(diǎn)的遺傳算法(GA)產(chǎn)生和聲庫(kù)的初始解;同時(shí)改進(jìn)和聲庫(kù)中新解的產(chǎn)生方式,克服了對(duì)初始和聲記憶庫(kù)依賴性強(qiáng)和參數(shù)隨機(jī)選擇不確定性的弊端;最后利用Matlab編制相應(yīng)算法的程序,分別對(duì)相同配電網(wǎng)模型進(jìn)行尋優(yōu)運(yùn)算和分析比較,結(jié)果表明優(yōu)化后的和聲搜索算法能夠有效地提高算法收斂速度和故障定位精度,在信息缺失、畸變等情況下具有良好的容錯(cuò)性。
[Abstract]:With the change of energy structure and the increasing demand of users for electric energy, distributed power generation technology, which has the advantages of clean and environmental protection, low energy consumption and flexible power supply, has been developed rapidly. However, with the access of distributed power supply, distribution network has developed from traditional single power radiation network to multi-power supply complex power supply network. The direction of power flow changes randomly, which brings new problems to fast and accurate fault location. It is of great practical significance to study a new algorithm to realize the fault location of distribution network with distributed power supply in order to improve the reliability of power supply and reduce the range of power outage. In this paper, based on the theoretical analysis, the fault location algorithm of distributed power supply connected to distribution network is studied by using Matlab/Simulink to build a distribution network model with DG. The influence of distributed power supply on short circuit current after being connected to distribution network is analyzed, and the influence of distributed power supply access on short circuit current shunt, auxiliary increase and countercurrent is obtained. A switching function model suitable for the complex structure of DG distribution network is established. The region division method of "tree" is introduced, the passive branches of fault-free current are eliminated, the dimension of solution is reduced, and the search efficiency is improved. The harmony algorithm with fast and accurate characteristics is used for global optimization. The accuracy and rapidity of the algorithm are verified by an example. In this paper, the convergence speed and fault tolerance of harmony algorithm are studied. Compared with the traditional optimization algorithm, the harmony algorithm has the advantages of simple concept and easy implementation, but the harmony memory database of the algorithm is random, uncertain and dependent on the initialization of the memory library. In order to improve the location speed and fault tolerance of the algorithm, the genetic algorithm (GA), which has the advantages of high parallelism and strong robustness, is used to generate the initial solution of the sound library. At the same time, the generation mode of the new solution in the sound database is improved, which overcome the disadvantages of strong dependence on the initial and acoustic memory database and uncertainty of random selection of parameters. Finally, the program of the corresponding algorithm is programmed by Matlab, and the optimization operation and analysis and comparison of the same distribution network model are carried out respectively. the results show that the optimized harmony search algorithm can effectively improve the convergence speed and fault location accuracy of the algorithm. It has good fault tolerance in the case of lack of information, distortion and so on.
【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
【分類號(hào)】:TM727

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 祝洪博;姜瀚書;張富剛;;基于融合遺傳原理的蟻群算法在配電網(wǎng)故障恢復(fù)中的應(yīng)用[J];東北電力大學(xué)學(xué)報(bào);2010年02期



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