【摘要】：分布式電源（Distributed Generation, DG）作為傳統(tǒng)供電方式的補(bǔ)充，以其就地消納電力，靈活高效發(fā)電，減少環(huán)境污染等優(yōu)點(diǎn)在電力系統(tǒng)中扮演著重要角色。DG接入配電網(wǎng)后，使得配電網(wǎng)的結(jié)構(gòu)和運(yùn)行方式發(fā)生改變，原有的網(wǎng)絡(luò)潮流、網(wǎng)損和節(jié)點(diǎn)電壓都將受到影響。配電網(wǎng)重構(gòu)通過(guò)開(kāi)合開(kāi)關(guān)以改變網(wǎng)絡(luò)拓?fù)�，可有效降低網(wǎng)絡(luò)損耗并提高電壓質(zhì)量，保證配電網(wǎng)經(jīng)濟(jì)運(yùn)行。因此對(duì)并網(wǎng)分布式電源的容量與位置進(jìn)行有效規(guī)劃，并利用網(wǎng)絡(luò)重構(gòu)實(shí)現(xiàn)含分布式電源配電網(wǎng)的經(jīng)濟(jì)安全運(yùn)行具有重要的理論與現(xiàn)實(shí)意義。 本文主要針對(duì)分布式電源優(yōu)化配置和含分布式電源的配電網(wǎng)重構(gòu)兩個(gè)問(wèn)題進(jìn)行了相關(guān)研究。 在對(duì)風(fēng)力發(fā)電、光伏發(fā)電、燃料電池、微型燃?xì)廨啓C(jī)四種典型DG的運(yùn)行方式和控制機(jī)理分析的基礎(chǔ)上，將DG分成PQ、PI、PV、PQ(V)四種節(jié)點(diǎn)類型處理，建立了相應(yīng)的配電網(wǎng)潮流計(jì)算模型，給出了含DG的節(jié)點(diǎn)分層前推回代潮流計(jì)算方法，并對(duì)潮流算法的性能和含各種類型DG的潮流計(jì)算進(jìn)行仿真分析。 建立了以網(wǎng)絡(luò)有功損耗和靜態(tài)電壓穩(wěn)定性為雙目標(biāo)的分布式電源優(yōu)化配置模型，采用量子粒子群算法進(jìn)行求解�？紤]DG的安裝位置與容量限制，提出區(qū)域優(yōu)化的思想，，實(shí)現(xiàn)了不同節(jié)點(diǎn)類型DG的區(qū)域優(yōu)化配置，并在IEEE33節(jié)點(diǎn)系統(tǒng)上進(jìn)行了仿真測(cè)試。另外，在PGE69節(jié)點(diǎn)系統(tǒng)上對(duì)考慮DG數(shù)量限制的不同類型DG區(qū)域優(yōu)化配置和DG位置恒定優(yōu)化注入容量?jī)煞N優(yōu)化情況進(jìn)行了仿真測(cè)試，并對(duì)單目標(biāo)與雙目標(biāo)優(yōu)化配置性能作了比較分析，證明了雙目標(biāo)區(qū)域優(yōu)化配置方法的正確性與有效性。 建立了以有功損耗最小的含分布式電源的配電網(wǎng)重構(gòu)模型。采用整數(shù)型環(huán)網(wǎng)編碼，對(duì)量子粒子群算法的變異策略進(jìn)行改進(jìn)，應(yīng)用改進(jìn)后的整數(shù)編碼型量子粒子群算法進(jìn)行求解，提高了收斂速度與尋優(yōu)效率。為消除粒子尋優(yōu)過(guò)程中產(chǎn)生的不可行解，提出了開(kāi)關(guān)-環(huán)路矩陣與節(jié)點(diǎn)分層策略的不可行解判斷方法，該方法運(yùn)用潮流算法的分層思想，可以達(dá)到完全消除不可行解的目的。在IEEE33和PGE69節(jié)點(diǎn)系統(tǒng)上對(duì)不含DG和含四種類型DG的重構(gòu)進(jìn)行多種情況的仿真測(cè)試，并分析了PV節(jié)點(diǎn)類型DG的額定電壓設(shè)置對(duì)于重構(gòu)結(jié)果的影響。 為使配電網(wǎng)性能達(dá)到整體最優(yōu)，對(duì)可調(diào)度類DG進(jìn)行配電網(wǎng)重構(gòu)和DG注入功率的綜合優(yōu)化，進(jìn)一步降低了網(wǎng)絡(luò)的有功損耗，提高了全網(wǎng)電壓水平。
[Abstract]:As a supplement of the traditional power supply mode, (Distributed Generation, DG) plays an important role in the power system because of its advantages of local absorption, flexible and efficient generation, reducing environmental pollution, etc. After the DG is connected to the distribution network, it plays an important role in the power system. The structure and operation mode of distribution network are changed, and the original network power flow, network loss and node voltage will be affected. Distribution network reconfiguration can effectively reduce the network loss and improve the voltage quality by switching on and off to change the network topology so as to ensure the economic operation of the distribution network. Therefore, it is of great theoretical and practical significance to plan the capacity and position of distributed power supply and to realize the economical and safe operation of distribution network with distributed power supply by network reconfiguration. In this paper, the optimal configuration of distributed power and the reconfiguration of distribution network with distributed power are studied. On the basis of analyzing the operation mode and control mechanism of four typical DG such as wind power generation, photovoltaic power generation, fuel cell and micro gas turbine, the DG is divided into four kinds of node types of PQ,PI,PV,PQ (V), and the corresponding power flow calculation model of distribution network is established. In this paper, the method of hierarchical forward power flow calculation with DG is presented, and the performance of power flow algorithm and power flow calculation with various types of DG are simulated and analyzed. The optimal configuration model of distributed power supply based on active power loss and static voltage stability is established and solved by quantum particle swarm optimization (QPSO). Considering the location and capacity limitation of DG, the idea of zone optimization is put forward, and the optimal configuration of DG with different node types is realized, and the simulation test is carried out on the IEEE33 node system. In addition, the optimal configuration of different types of DG region considering the number of DG and the optimal injection capacity of DG position are simulated on the PGE69 node system. The performance of single objective and double objective optimal configuration is compared and analyzed, and the correctness and effectiveness of the method are proved. A distribution network reconfiguration model with minimum active power loss is established. The mutation strategy of Quantum Particle Swarm Optimization (QPSO) is improved by using integer loop coding, and the improved integer coded QPSO algorithm is applied to solve the problem. The convergence speed and optimization efficiency are improved. In order to eliminate the infeasible solution in the process of particle optimization, a method for judging the infeasible solution of the switching loop matrix and the node delamination strategy is proposed. This method can eliminate the infeasible solution completely by using the hierarchical thinking of the power flow algorithm. The reconfiguration without DG and four types of DG is simulated and tested on IEEE33 and PGE69 node systems, and the effect of the rated voltage of PV node type DG on the reconstruction results is analyzed. In order to achieve the overall optimal performance of the distribution network, the reconfiguration of the distribution network and the comprehensive optimization of the injection power of the DG are carried out for the dispatchable DG, which further reduces the active power loss of the network and improves the voltage level of the whole network.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM73

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