發(fā)布時(shí)間：2018-11-16 07:07

【摘要】：分布式電源(Distributed Generation,DG)作為傳統(tǒng)供電方式的補(bǔ)充,以其占地面積小,靈活高效發(fā)電,綠色環(huán)保等優(yōu)點(diǎn)在電力系統(tǒng)中扮演著重要角色。DG接入配網(wǎng)時(shí)的位置、容量以及網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)都影響著配電網(wǎng)的運(yùn)行方式和潮流分布,因此研究DG在配電網(wǎng)中的優(yōu)化配置與含DG的配電網(wǎng)重構(gòu)對(duì)配電網(wǎng)的安全運(yùn)行具有重要的實(shí)際意義。本文首先簡(jiǎn)要介紹了幾種常見(jiàn)的DG。通過(guò)簡(jiǎn)單的配電網(wǎng)模型詳細(xì)分析了DG的接入容量、位置以及功率因數(shù)對(duì)網(wǎng)損的影響,并總結(jié)其影響規(guī)律,接著介紹了DG在潮流計(jì)算中的幾種數(shù)學(xué)模型。并把DG看作PQ模型融入配電網(wǎng)的潮流計(jì)算中。其次深入地研究分析了和聲搜索算法的基本原理、步驟及其優(yōu)缺點(diǎn)。對(duì)其不足增加了三點(diǎn)改進(jìn):在和聲庫(kù)初始化時(shí)通過(guò)混沌映射使和聲向量均勻分布,步長(zhǎng)進(jìn)行自適應(yīng)調(diào)整,并融合反向?qū)W習(xí)策略的優(yōu)勢(shì)產(chǎn)生新解,權(quán)衡了算法的搜索能力和開(kāi)采能力。對(duì)于不可調(diào)度的DG,本文通過(guò)改進(jìn)和聲搜索算法進(jìn)行了DG在配電網(wǎng)中的優(yōu)化配置研究。并以網(wǎng)損最小為目標(biāo)函數(shù),對(duì)DG接入配電網(wǎng)的最優(yōu)位置和容量進(jìn)行同時(shí)的優(yōu)化仿真,驗(yàn)證了本文所提改進(jìn)算法的有效性。對(duì)于可調(diào)度的DG,本文對(duì)DG的注入功率和配網(wǎng)重構(gòu)進(jìn)行綜合優(yōu)化研究。以網(wǎng)絡(luò)損耗和節(jié)點(diǎn)電壓偏移率為目標(biāo),并采用網(wǎng)絡(luò)的開(kāi)關(guān)狀態(tài)與DG注入功率同時(shí)編碼的方法,提出基于改進(jìn)和聲搜索算法的配網(wǎng)重構(gòu)與DG注入功率綜合優(yōu)化方案。在33節(jié)點(diǎn)算例中,首先對(duì)不含DG的配電網(wǎng)重構(gòu)進(jìn)行了仿真驗(yàn)證,然后對(duì)含DG的配電網(wǎng)重構(gòu)進(jìn)行多種方案的仿真比較,證明了配網(wǎng)重構(gòu)與DG注入功率同時(shí)優(yōu)化能使配網(wǎng)的降損效果與電壓的改善情況達(dá)到最優(yōu)。
[Abstract]:As a supplement of traditional power supply mode, distributed power generation (Distributed Generation,DG) plays an important role in power system because of its small area, flexible and efficient power generation, green environmental protection and so on. Both the capacity and the topology of the network affect the operation mode and power flow distribution of the distribution network. Therefore, it is of great practical significance to study the optimal configuration of DG in the distribution network and the reconfiguration of the distribution network containing DG for the safe operation of the distribution network. This article begins with a brief introduction to several common DG. The influence of access capacity, position and power factor of DG on network loss is analyzed in detail through a simple distribution network model, and its influence law is summarized. Then, several mathematical models of DG in power flow calculation are introduced. DG is considered as a PQ model in the power flow calculation of distribution network. Secondly, the basic principle, steps, advantages and disadvantages of harmonic search algorithm are analyzed. In this paper, three improvements are added: the harmonic vector is uniformly distributed by chaotic mapping, the step size is adjusted adaptively, and the advantages of the reverse learning strategy are fused to produce a new solution. The search ability and mining ability of the algorithm are weighed. In this paper, the optimal configuration of DG in distribution network is studied by improving the harmonic search algorithm for non-dispatch DG,. Taking the minimum network loss as the objective function, the optimal position and capacity of the DG access distribution network are simulated simultaneously, which verifies the effectiveness of the improved algorithm proposed in this paper. In this paper, the injection power of DG and the reconfiguration of distribution network are comprehensively optimized for the schedulable DG,. Aiming at network loss and node voltage offset, and adopting the method of network switching state and DG injection power coding simultaneously, a comprehensive optimization scheme of distribution network reconstruction and DG injection power based on improved harmonic search algorithm is proposed. In the 33-bus example, the distribution network reconfiguration without DG is first verified by simulation, and then the distribution network reconfiguration with DG is simulated and compared. It is proved that the optimization of distribution network reconstruction and DG injection power at the same time can optimize the loss reduction effect and the improvement of voltage of distribution network.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TM727

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張沈習(xí);袁加妍;程浩忠;李珂;;主動(dòng)配電網(wǎng)中考慮需求側(cè)管理和網(wǎng)絡(luò)重構(gòu)的分布式電源規(guī)劃方法[J];中國(guó)電機(jī)工程學(xué)報(bào);2016年S1期

2 胡福年;張?jiān)L;葛苗苗;付長(zhǎng)亮;;考慮峰谷分時(shí)電價(jià)和時(shí)序特性的分布式電源選址定容[J];電測(cè)與儀表;2016年13期

3 婁寧娜;毛弋;黃媛玉;;基于改進(jìn)人工蜂群算法的分布式電源規(guī)劃[J];湖南師范大學(xué)自然科學(xué)學(xué)報(bào);2016年03期

4 劉波;賀志佳;金昊;;風(fēng)力發(fā)電現(xiàn)狀與發(fā)展趨勢(shì)[J];東北電力大學(xué)學(xué)報(bào);2016年02期

5 蔣雷;;太陽(yáng)能光伏發(fā)電系統(tǒng)現(xiàn)狀及前景分析[J];低碳世界;2016年09期

6 殷豪;周玉龍;孟安波;;二進(jìn)制縱橫交叉算法在配電網(wǎng)重構(gòu)中的應(yīng)用[J];電網(wǎng)技術(shù);2016年01期

7 吳忠強(qiáng);趙立儒;賈文靜;吳昌韓;;計(jì)及DG與STATCOM的配電網(wǎng)重構(gòu)優(yōu)化策略[J];電力自動(dòng)化設(shè)備;2016年01期

8 夏紅剛;歐陽(yáng)海濱;高立群;孔祥勇;;全局競(jìng)爭(zhēng)和聲搜索算法[J];控制與決策;2016年02期

9 林濟(jì)鏗;潘光;潘毅;張輝;戴賽;劉陽(yáng)升;;基于矩陣環(huán)和操作的Mayeda生成樹(shù)實(shí)用算法[J];中國(guó)電機(jī)工程學(xué)報(bào);2014年31期

10 高山山;秦文萍;韓肖清;王鵬;王海明;;計(jì)及負(fù)荷時(shí)變性及分布式電源出力波動(dòng)性的配電網(wǎng)兩級(jí)實(shí)時(shí)重構(gòu)[J];電網(wǎng)技術(shù);2014年11期

相關(guān)碩士學(xué)位論文 前3條

1 張?jiān)从?含分布式電源的配電網(wǎng)潮流計(jì)算方法研究[D];華南理工大學(xué);2013年

2 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

3 馬明;分布式電源對(duì)配電網(wǎng)網(wǎng)損影響及配置的研究[D];南京理工大學(xué);2007年

，

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