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Case Library Construction Technology of Energy Loss in Distribution Networks Considering Regional Differentiation Theory

Author

Listed:
  • Ze Yuan

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)

  • Weizhou Wang

    (State Grid Gansu Electric Power Company, Lanzhou 730046, China)

  • Jing Peng

    (State Grid Gansu Electric Power Company, Lanzhou 730046, China)

  • Fuchao Liu

    (State Grid Gansu Electric Power Company, Lanzhou 730046, China)

  • Jianhua Yang

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)

Abstract

The grid structures, load levels, and running states of distribution networks in different supply regions are known as the influencing factors of energy loss. In this paper, the case library of energy loss is constructed to differentiate the crucial factors of energy loss in the different supply regions. First of all, the characteristic state values are selected as the representation of the cases based on the analysis of energy loss under various voltage classes and in different types of regions. Then, the methods of Grey Relational Analysis and the K-Nearest Neighbor are utilized to implement the critical technologies of case library construction, including case representation, processing, analysis, and retrieval. Moreover, the analysis software of the case library is designed based on the case library construction technology. Some case studies show that there are many differences and similarities concerning the factors that influence the energy loss in different types of regions. In addition, the most relevant sample case can be retrieved from the case library. Compared with the traditional techniques, constructing a case library provides a new way to find out the characteristics of energy loss in different supply regions and constitutes differentiated loss-reducing programs.

Suggested Citation

  • Ze Yuan & Weizhou Wang & Jing Peng & Fuchao Liu & Jianhua Yang, 2017. "Case Library Construction Technology of Energy Loss in Distribution Networks Considering Regional Differentiation Theory," Energies, MDPI, vol. 10(11), pages 1-14, November.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1861-:d:118711
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    References listed on IDEAS

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    1. Dongxiao Niu & Shuyu Dai, 2017. "A Short-Term Load Forecasting Model with a Modified Particle Swarm Optimization Algorithm and Least Squares Support Vector Machine Based on the Denoising Method of Empirical Mode Decomposition and Gre," Energies, MDPI, vol. 10(3), pages 1-20, March.
    2. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    3. Guogang Wang & Mingli Wang & Jimin Wang & Chun Yang, 2015. "Spatio-Temporal Characteristics of Rural Economic Development in Eastern Coastal China," Sustainability, MDPI, vol. 7(2), pages 1-16, January.
    4. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    5. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    6. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    7. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    8. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    9. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
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