Optimal evaluation method for demonstration and application of key technologies of smart distribution network
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(1. Jieyang Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jieyang 522000, China;2. Guangzhou Power Electrical Technology Co., Ltd., Guangzhou 510635, China;3. School ofElectric Power, South China University of Technology, Guangzhou 510640, China)

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TM72

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    Abstract:

    To address the difficulties in evaluating the priority order of key technologies in the demonstration application of distributionnetworks and quantifying the degree to which demonstration benefits are affected by regional development differences, a technology demon?strate on application optimization evaluation model that took into account the development of key technologies, application value and thedifference of regional indicators guided by“double S”index is proposed. Based on the internal and external matrix to measure the demandof regional power network differentiated development, a fuzzy comprehensive evaluation method is combined to quantify the demonstrationbenefits of key technologies. The continuous interval order weighted average operator improved analytic hierarchy process and entropyweight method are used to optimize CRITIC algorithm to calculate the subjective and objective weights, and the game theory is introducedto construct the subjective and objective combination weighting method. The intuitionistic fuzzy multi-attribute decision-making method isused to construct the technology demonstration optimization evaluation model. The simulation results show that proposed method can quan?tify the priority of key technology demonstration, and can identify the differences of technology demonstration in different regions, whichprovides a reference for the investment decision of key technology demonstration on the distribution network side, and helps to improve theinvestment efficiency and efficiency of distribution network.

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林佳亮,李暖群,黄焯辉,曾庆彬,梁伟强,李钦豪.智慧配电网关键技术示范应用优选评估方法[J].电力需求侧管理英文版,2024,26(4):16-22.

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History
  • Received:January 05,2024
  • Revised:April 20,2024
  • Adopted:
  • Online: July 18,2024
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