本文選題：配電網(wǎng) + 蝙蝠算法　； 參考：《湖北工業(yè)大學(xué)》2017年碩士論文

【摘要】：隨著社會(huì)的發(fā)展和人民生活水平的提高,電力系統(tǒng)的規(guī)模和容量不斷增大,對(duì)供電可靠性以及故障定位、隔離、搶修等配電網(wǎng)方面的工作提出了更高的要求。智能電網(wǎng)成為電網(wǎng)技術(shù)發(fā)展的必然趨勢(shì),而配電網(wǎng)故障自動(dòng)定位技術(shù)的研究是保證智能電網(wǎng)安全可靠運(yùn)行的一項(xiàng)基礎(chǔ)性工作,具有重要的現(xiàn)實(shí)意義。本文在綜述了目前國(guó)內(nèi)外對(duì)配電網(wǎng)故障區(qū)段定位研究現(xiàn)狀的基礎(chǔ)上,針對(duì)目前配電網(wǎng)的故障信息特征、配電網(wǎng)故障區(qū)段的定位方法,利用蝙蝠算法全局尋優(yōu)能力對(duì)配電網(wǎng)故障區(qū)段進(jìn)行定位搜索,搭建合適的配電網(wǎng)模型對(duì)多種故障定位進(jìn)行深入研究。本文在分析了蝙蝠算法算法基本的仿生原理的基礎(chǔ)上,結(jié)合配電網(wǎng)的結(jié)構(gòu)特點(diǎn),建立了合適的開關(guān)函數(shù)和評(píng)價(jià)函數(shù),將蝙蝠算法應(yīng)用到解決配電網(wǎng)故障定位的問題上。通過對(duì)單點(diǎn)仿真,多點(diǎn)故障仿真以及含信息畸變的故障仿真,表明蝙蝠算法能夠進(jìn)行故障定位。在多次運(yùn)行仿真程序發(fā)現(xiàn)在一些情況下會(huì)陷入局部最優(yōu)解。針對(duì)蝙蝠算法會(huì)陷入局部最優(yōu)解的這一缺點(diǎn)本文引入了元胞自動(dòng)機(jī),利用元胞及其鄰居的定義規(guī)則在局部尋優(yōu)過程中反復(fù)進(jìn)行局部交互作用以實(shí)現(xiàn)全局優(yōu)化效果。并且增強(qiáng)了蝙蝠算法在搜索過程的多樣性,提高了算法的全局尋優(yōu)能力,能夠很好的獲得全局最優(yōu)解。同時(shí)為了對(duì)提高蝙蝠算法的尋優(yōu)速度,引入慣性函數(shù)系數(shù),通過變化的慣性函數(shù)系數(shù)使蝙蝠算法收斂速度加快,定位準(zhǔn)確度更高。利用仿真軟件MATLAB對(duì)配電網(wǎng)不同的故障條件以及在含有信息畸變的情況進(jìn)行了有效性和收斂性仿真分析。通過對(duì)蝙蝠算法和元胞蝙蝠算法仿真分析,表明改進(jìn)之后的元胞蝙蝠算法具有收斂速度快、準(zhǔn)確性高的優(yōu)勢(shì),并且相比于粒子群算法具有較好收斂性與快速性。對(duì)后續(xù)繼續(xù)研究配電網(wǎng)故障區(qū)段定位提供了一定的參考價(jià)值。
[Abstract]:With the development of the society and the improvement of people's living standard, the scale and capacity of the power system are increasing, which puts forward higher requirements for the reliability of power supply and the work of fault location, isolation, emergency repair and so on. Smart grid has become an inevitable trend in the development of power grid technology, and the research of automatic fault location technology in distribution network is a basic work to ensure the safe and reliable operation of smart grid, which has important practical significance. On the basis of summarizing the present situation of fault section localization in distribution network at home and abroad, this paper aims at the characteristics of fault information in distribution network and the location method of fault section in distribution network. The bat algorithm is used to locate the fault section of the distribution network, and a suitable distribution network model is built to study the fault location deeply. Based on the analysis of the basic bionic principle of the bat algorithm and the structural characteristics of the distribution network, an appropriate switching function and an evaluation function are established in this paper, and the bat algorithm is applied to solve the problem of fault location in the distribution network. Through single point simulation, multi-point fault simulation and fault simulation with information distortion, it is shown that the bat algorithm can locate the fault. It is found that in some cases the simulation program will fall into a local optimal solution. In this paper, we introduce cellular automata to solve the problem that bat algorithm will fall into local optimal solution, and make use of the definition rules of cell and its neighbors to perform local interaction repeatedly in the process of local optimization to realize the global optimization effect. It also enhances the diversity of the bat algorithm in the search process, improves the global optimization ability of the algorithm, and can obtain the global optimal solution very well. At the same time, in order to improve the searching speed of the bat algorithm, the inertia function coefficient is introduced, and the convergence speed of the bat algorithm is accelerated and the positioning accuracy is higher by changing the inertial function coefficient. The simulation software MATLAB is used to analyze the effectiveness and convergence of the distribution network under different fault conditions and in the case of information distortion. The simulation results of the bat algorithm and the Cellular bat algorithm show that the improved algorithm has the advantages of fast convergence and high accuracy, and has better convergence and rapidity compared with the particle swarm optimization algorithm. It provides a certain reference value for the further study of fault section location in distribution network.
【學(xué)位授予單位】：湖北工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM711

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本文編號(hào)：1842365