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聯(lián)合分布式電源的變電站選址定容研究

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  本文選題:分布式電源 切入點:變電站選址定容 出處:《華北電力大學(xué)》2014年碩士論文 論文類型:學(xué)位論文


【摘要】:由于能源、環(huán)境等問題的制約,火力發(fā)電等傳統(tǒng)發(fā)電技術(shù)受到了越來越多的限制。分布式發(fā)電技術(shù)具有用地省、投資小、資源環(huán)境友好等優(yōu)點,其在電力系統(tǒng)尤其是配電系統(tǒng)中得到了快速推廣。然而,隨著分布式電源并網(wǎng)比例的大幅增加,其不可避免產(chǎn)生對配電網(wǎng)的電能質(zhì)量、可靠性、繼電保護(hù)、規(guī)劃等諸多方面產(chǎn)生影響。配電網(wǎng)規(guī)劃是電力系統(tǒng)規(guī)劃的重要組成部分,對配電系統(tǒng)進(jìn)行合理規(guī)劃能有效提高供電的可靠性與經(jīng)濟(jì)性,考慮分布式發(fā)電源接入下的配電網(wǎng)規(guī)劃問題具有重要意義。本文從配電網(wǎng)規(guī)劃的基礎(chǔ)即變電站選址定容入手,研究了含分布式電源的配電系統(tǒng)變電站選址定容問題。 本文在分析分布式電源主要特點及對配電系統(tǒng)影響的基礎(chǔ)上,基于全周期壽命成本理論,建立了含分布式電源的配網(wǎng)變電站選址定容優(yōu)化模型。該模型綜合考慮了變電站上級輸電網(wǎng)、下級輸電網(wǎng)、變電站設(shè)備、分布式電源的初始投資、運行維護(hù)成本、故障損失、廢棄費用;考慮到分布式電源對配電系統(tǒng)的影響,對變電站上、下級輸電網(wǎng)初始投資以及運行維護(hù)成本進(jìn)行了修正,確定了基于全壽命周期的含分布式電源變電站選址定容優(yōu)化目標(biāo)函數(shù),并得到了電氣約束條件,并將電氣約束條件以及地理約束條件作為懲罰因子用以修正目標(biāo)函數(shù)。其次,本文提出采用改進(jìn)量子遺傳算法對優(yōu)化目標(biāo)函數(shù)進(jìn)行尋優(yōu)求解,該算法具有自適應(yīng)的收縮擴(kuò)張系數(shù),能根據(jù)尋優(yōu)函數(shù)本身自適應(yīng)調(diào)節(jié)尋優(yōu)速度,加速尋優(yōu)過程,同時能有效避免算法陷入局部最優(yōu)。選取Voronoi圖理論對各變電站供電范圍進(jìn)行自動劃分,進(jìn)而實現(xiàn)含分布式電源的變電站選址定容優(yōu)化求解。最后,采用具體算例對本文所提方法進(jìn)行了驗證。結(jié)果表明,本文提出方法可對的含分布式電源的變電站選址定容問題進(jìn)行有效優(yōu)化,含分布式電源的變電站選址定容規(guī)劃可節(jié)省大量投資,具有較高的經(jīng)濟(jì)性,可有效緩解經(jīng)濟(jì)發(fā)達(dá)區(qū)域變電站站址選擇困難的問題。
[Abstract]:Because of the restriction of energy, environment and other problems, traditional power generation technology such as thermal power generation is more and more restricted. Distributed power generation technology has the advantages of saving land, small investment and friendly resources and environment. It has been popularized rapidly in power system, especially in distribution system. However, with the increase of the proportion of distributed power supply, it will inevitably produce power quality, reliability and relay protection for distribution network. Distribution network planning is an important part of power system planning. Reasonable planning of distribution system can effectively improve the reliability and economy of power supply. It is of great significance to consider the problem of distribution network planning under distributed power generation and access. Based on the basis of distribution network planning, that is, substation location and capacity determination, this paper studies the distribution system location and capacity problem with distributed generation. Based on the analysis of the main characteristics of distributed power supply and its influence on distribution system, this paper bases on the theory of full cycle life cost. The optimization model of distribution network location and capacity is established, which considers the initial investment, maintenance cost and fault loss of the superior transmission network, the lower transmission network, the substation equipment and the distributed power supply. Considering the influence of distributed power generation on the distribution system, the initial investment and operation and maintenance cost of the lower level transmission network in substations are corrected. The optimization objective function of substation location with distributed power supply is determined based on the whole life cycle, and the electrical constraint condition is obtained, and the electric constraint condition and geographical constraint condition are used as penalty factors to modify the objective function. In this paper, an improved quantum genetic algorithm (QGA) is proposed to solve the optimization objective function. The algorithm has adaptive shrinkage expansion coefficient, adaptively adjusts the optimization speed according to the optimization function itself, and accelerates the optimization process. At the same time, it can effectively avoid the algorithm falling into local optimum. The Voronoi diagram theory is selected to automatically partition the power supply range of each substation, and then to realize the optimal solution of substation location and capacity optimization with distributed power supply. Finally, A concrete example is used to verify the proposed method. The results show that the proposed method can effectively optimize the location and capacity problem of substations with distributed power supply. The location and capacity planning of substations with distributed generation can save a lot of investment and have a high economy. It can effectively alleviate the problem of difficult selection of substation sites in economically developed regions.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM63

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