本文選題：變電站 + 工程設(shè)計(jì)�。� 參考：《華北電力大學(xué)(北京)》2017年碩士論文

【摘要】：隨著電力體制改革和國(guó)民經(jīng)濟(jì)的迅猛發(fā)展,電網(wǎng)建設(shè)步伐在逐年加快。變電站工程設(shè)計(jì)的評(píng)價(jià)過(guò)程從人工評(píng)價(jià)向系統(tǒng)智能評(píng)價(jià)的過(guò)度是必然趨勢(shì),也是輸變電系統(tǒng)工程可靠性的必然要求,雖然近年來(lái)在部分環(huán)節(jié)上采用了智能評(píng)價(jià)手段,為變電站工程智能評(píng)價(jià)提供了一定的參考,但是對(duì)于變電站工程設(shè)計(jì)整體的評(píng)價(jià)還是十分有限的,這就需要通過(guò)對(duì)變電站工程設(shè)計(jì)的基礎(chǔ)信息,設(shè)計(jì)方案,參數(shù)數(shù)據(jù)等工程設(shè)計(jì)信息進(jìn)行數(shù)據(jù)挖掘分析,對(duì)其特征參量進(jìn)行提取、收集,作為變電站工程設(shè)計(jì)的評(píng)價(jià)基礎(chǔ),進(jìn)而選擇有效的工程設(shè)計(jì)評(píng)價(jià)方法,確定科學(xué)合理的評(píng)價(jià)策略,提高對(duì)變電站工程設(shè)計(jì)評(píng)價(jià)的可靠性和準(zhǔn)確性。針對(duì)以上問(wèn)題,本論文開(kāi)展了面向變電站工程設(shè)計(jì)信息的數(shù)據(jù)挖掘技術(shù)研究。首先,分析了智能電網(wǎng)背景下變電站工程設(shè)計(jì)信息的特點(diǎn)并對(duì)其進(jìn)行數(shù)據(jù)預(yù)處理工作,利用有限覆蓋原理和聚類(lèi)分析原理對(duì)變電站設(shè)計(jì)信息進(jìn)行基于峰值聚類(lèi)的數(shù)據(jù)清洗;其次,采用社會(huì)網(wǎng)絡(luò)相關(guān)原理對(duì)清洗過(guò)的工程設(shè)計(jì)數(shù)據(jù)進(jìn)行分析處理,利用屬性空間投影、指標(biāo)關(guān)聯(lián)因子、空間關(guān)聯(lián)因子以及子屬性空間關(guān)聯(lián)矩陣等概念構(gòu)建變電站工程設(shè)計(jì)評(píng)價(jià)指標(biāo)體系以及基于屬性模式識(shí)別的評(píng)價(jià)模型;最后,以220k V變電站工程電氣一次部分設(shè)計(jì)信息數(shù)據(jù)為例進(jìn)行實(shí)例分析,利用本文所涉及的數(shù)據(jù)挖掘技術(shù),對(duì)全國(guó)100多個(gè)220kV變電站工程電氣一次設(shè)計(jì)信息數(shù)據(jù)進(jìn)行數(shù)據(jù)清洗,并且對(duì)其中8項(xiàng)新建變電站工程進(jìn)行基于社會(huì)屬性網(wǎng)絡(luò)的變電站設(shè)計(jì)電氣一次評(píng)價(jià)。本論文實(shí)現(xiàn)了基于峰值聚類(lèi)理論對(duì)多數(shù)據(jù)源變電站工程電氣一次設(shè)計(jì)信息數(shù)據(jù)的數(shù)據(jù)清洗工作,并且,基于社會(huì)屬性網(wǎng)絡(luò)的評(píng)價(jià)結(jié)果也與國(guó)家電網(wǎng)公司評(píng)出的優(yōu)質(zhì)工程相符合,從而驗(yàn)證了本論文中所提出的社會(huì)屬性網(wǎng)絡(luò)SANs在變電站工程初步設(shè)計(jì)電氣一次評(píng)價(jià)應(yīng)用的合理性,進(jìn)一步驗(yàn)證了面向變電站工程設(shè)計(jì)信息的數(shù)據(jù)挖掘技術(shù)的有效性。論文中所涉及的數(shù)據(jù)挖掘技術(shù)在輸變電工程甚至其他領(lǐng)域的工程項(xiàng)目設(shè)計(jì)與評(píng)價(jià)環(huán)節(jié)中有著極大的參考價(jià)值。
[Abstract]:With the reform of power system and the rapid development of national economy, the pace of power grid construction is accelerating year by year. The excessive evaluation process of substation engineering design from manual evaluation to system intelligent evaluation is an inevitable trend and an inevitable requirement for the reliability of transmission and transformation systems, although in recent years intelligent evaluation methods have been adopted in some aspects. It provides a certain reference for intelligent evaluation of substation engineering, but the overall evaluation of substation engineering design is still very limited, which requires the basic information of substation engineering design, design scheme, The engineering design information, such as parameter data, is mined and analyzed, and its characteristic parameters are extracted and collected as the evaluation basis of substation engineering design. Then the effective engineering design evaluation method is selected, and the scientific and reasonable evaluation strategy is determined. Improve the reliability and accuracy of substation engineering design evaluation. In order to solve the above problems, this paper studies the data mining technology for substation engineering design information. Firstly, the characteristics of substation engineering design information under the background of smart grid are analyzed and the data preprocessing work is carried out. The data cleaning of substation design information based on peak clustering is carried out by using the principle of limited coverage and clustering analysis. Secondly, using the social network correlation principle to analyze and process the cleaned engineering design data, using attribute space projection, index correlation factor, The concepts of spatial correlation factor and subattribute spatial correlation matrix are used to construct the evaluation index system of substation engineering design and the evaluation model based on attribute pattern recognition. With the example of 220kV substation electrical once design information data, the data of one time design information of more than 100 220kV substations in China are cleaned by using the data mining technology involved in this paper. And 8 new substation projects are evaluated based on social attribute network. In this paper, the data cleaning of the primary design information data of substation engineering based on peak clustering theory is realized, and the evaluation results based on social attribute network are in accordance with the high quality project evaluated by State Grid Company. Thus, the rationality of the application of the social attribute network SANs proposed in this paper in the primary design of substation engineering electrical evaluation is verified, and the validity of the data mining technology for substation engineering design information is further verified. The data mining technology involved in this paper has great reference value in the design and evaluation of transmission and transformation engineering and even other engineering projects.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP311.13;TM63

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本文編號(hào)：2075052