本文關(guān)鍵詞：基于模糊層次分析法和灰色關(guān)聯(lián)分析方法的變電站選址研究　出處：《鄭州大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 變電站選址 模糊層次分析法 灰色關(guān)聯(lián)分析法 Kendall非參數(shù)檢驗(yàn)

【摘要】：隨著社會經(jīng)濟(jì)的發(fā)展和人民生活水平的提高，用電負(fù)荷對電網(wǎng)穩(wěn)定性、電能質(zhì)量的要求越來越高，用電量也越來越大。做好電網(wǎng)規(guī)劃設(shè)計(jì)工作，不僅可以從根本上保證電網(wǎng)運(yùn)行的安全穩(wěn)定性和良好的電能質(zhì)量，還可以節(jié)約大量能源，實(shí)現(xiàn)可持續(xù)發(fā)展。作為電網(wǎng)規(guī)劃的一項(xiàng)必不可少的工作，變電站選址直接關(guān)系到整個電網(wǎng)的結(jié)構(gòu)是否合理，也對電力部門的效益有著很大的影響。 本文對變電站選址方面的國內(nèi)外研究現(xiàn)狀進(jìn)行了綜述，認(rèn)為以往的變電站選址研究主要集中在采用各種算法對站址進(jìn)行優(yōu)化，而對于基于評價(jià)指標(biāo)體系對多個待選站址進(jìn)行排序的研究卻不多。由于各種優(yōu)化算法都有自己的優(yōu)點(diǎn)和不足，使得基于單一優(yōu)化算法的站址選擇結(jié)果很難令人滿意。因此，開展變電站選址方法研究，綜合采用多種方法選擇合理的變電站站址是非常必要的。 作為變電站選址的基礎(chǔ)，闡述了變電站的選址原則，并據(jù)其建立了包括目標(biāo)層、準(zhǔn)則層和指標(biāo)層的變電站站址綜合評價(jià)指標(biāo)體系。該體系以最優(yōu)變電站站址為總體目標(biāo)，選取電網(wǎng)構(gòu)架、投資分析、土地因素、環(huán)境情況4個指標(biāo)構(gòu)成準(zhǔn)則層，指標(biāo)層則包括體布局、線路走廊、與負(fù)荷中心距離、總投資、年運(yùn)行費(fèi)用、地形地質(zhì)情況等13個具體指標(biāo)。 本文綜合采用模糊層次分析法和灰色關(guān)聯(lián)分析方法進(jìn)行變電站站址的選擇。以這兩種方法為基礎(chǔ)得到一種對變電站進(jìn)行選址的新方法。該方法利用模糊層次分析法的結(jié)論得出一個更加合理的分辨系數(shù)來替代傳統(tǒng)取值（一般為0.5）用于灰色關(guān)聯(lián)方法中，并在最終計(jì)算時將各指標(biāo)的權(quán)重引入，使主觀方法與客觀方法相結(jié)合，以便得到一個具有更高可信度的結(jié)果。為了確定兩種方法能否結(jié)合，運(yùn)用了Kendall相關(guān)系數(shù)對兩種方法的一致性進(jìn)行檢驗(yàn)。 本文采用所建立的站址選擇評價(jià)指標(biāo)體系，應(yīng)用所提出的方法對4個變電站待選站址進(jìn)行選址評價(jià)，得出最優(yōu)站址，，證明了所提算法的可行性。
[Abstract]:With the development of social economy and the improvement of people's living standard, the demand of power load for power grid stability, power quality and power consumption is getting higher and higher. It can not only guarantee the safety, stability and good power quality of the power grid fundamentally, but also save a lot of energy and realize the sustainable development. Substation location is directly related to the structure of the whole power network, and also has a great impact on the efficiency of the power sector. In this paper, the status quo of substation location research at home and abroad is summarized, and it is considered that the previous research on substation location mainly focuses on the optimization of substation location using various algorithms. However, there are few researches on how to sort multiple sites based on the evaluation index system, because of the advantages and disadvantages of various optimization algorithms. The results of site selection based on single optimization algorithm are difficult to be satisfied. Therefore, it is very necessary to carry out research on substation location method and adopt multiple methods to select reasonable substation address. As the basis of substation location, the principle of substation location is expounded, and the target layer is established according to the principle. The system takes the optimal substation site as the overall goal, selects the power grid structure, investment analysis, land factor and environment condition to constitute the criterion layer. The index layer includes 13 specific indexes, such as body layout, line corridor, distance from load center, total investment, annual operating cost, topographic and geological conditions, etc. In this paper, fuzzy analytic hierarchy process (FAHP) and grey correlation analysis are used to select substation site. Based on these two methods, a new method for selecting substation location is obtained. The conclusion of the analytical method is that a more reasonable resolution coefficient can be obtained instead of the traditional value (. Generally 0.5) is used in grey correlation methods. In order to determine whether the two methods can be combined, the weight of each index is introduced in the final calculation to combine the subjective method with the objective method in order to obtain a more reliable result. Kendall correlation coefficient is used to test the consistency of the two methods. In this paper, the evaluation index system of site selection is established, and the proposed method is used to evaluate the location of 4 substations to be selected, and the optimal site is obtained, which proves the feasibility of the proposed algorithm.
【學(xué)位授予單位】：鄭州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM63

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