【摘要】：分布式電源(Distributed Generation,DG)作為傳統(tǒng)供電方式的補充,以其占地面積小,靈活高效發(fā)電,綠色環(huán)保等優(yōu)點在電力系統(tǒng)中扮演著重要角色。DG接入配網(wǎng)時的位置、容量以及網(wǎng)絡的拓撲結構都影響著配電網(wǎng)的運行方式和潮流分布,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)重構對配電網(wǎng)的安全運行具有重要的實際意義。本文首先簡要介紹了幾種常見的DG。通過簡單的配電網(wǎng)模型詳細分析了DG的接入容量、位置以及功率因數(shù)對網(wǎng)損的影響,并總結其影響規(guī)律,接著介紹了DG在潮流計算中的幾種數(shù)學模型。并把DG看作PQ模型融入配電網(wǎng)的潮流計算中。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。對其不足增加了三點改進:在和聲庫初始化時通過混沌映射使和聲向量均勻分布,步長進行自適應調(diào)整,并融合反向?qū)W習策略的優(yōu)勢產(chǎn)生新解,權衡了算法的搜索能力和開采能力。對于不可調(diào)度的DG,本文通過改進和聲搜索算法進行了DG在配電網(wǎng)中的優(yōu)化配置研究。并以網(wǎng)損最小為目標函數(shù),對DG接入配電網(wǎng)的最優(yōu)位置和容量進行同時的優(yōu)化仿真,驗證了本文所提改進算法的有效性。對于可調(diào)度的DG,本文對DG的注入功率和配網(wǎng)重構進行綜合優(yōu)化研究。以網(wǎng)絡損耗和節(jié)點電壓偏移率為目標,并采用網(wǎng)絡的開關狀態(tài)與DG注入功率同時編碼的方法,提出基于改進和聲搜索算法的配網(wǎng)重構與DG注入功率綜合優(yōu)化方案。在33節(jié)點算例中,首先對不含DG的配電網(wǎng)重構進行了仿真驗證,然后對含DG的配電網(wǎng)重構進行多種方案的仿真比較,證明了配網(wǎng)重構與DG注入功率同時優(yōu)化能使配網(wǎng)的降損效果與電壓的改善情況達到最優(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.
【學位授予單位】：西安理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM727

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