新电改下考虑微网和多元负荷的配网效益评价研究
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  • 英文篇名:Benefit evaluation of distribution network considering microgrid and multiple loads under new electricity reform
  • 作者:叶斌 ; 王绪利 ; 马静 ; 孙乾 ; 邱新福 ; 尹晨旭
  • 英文作者:YE Bin;WANG Xuli;MA Jing;SUN Qian;QIU Xinfu;YIN Chenxu;State Grid Anhui Electric Power Co.,Ltd.Economic and Technological Research Institute;School of Electrical Engineering,Southeast University;State Grid Maanshan Power Supply Company;
  • 关键词:新电改 ; 微网 ; 多元负荷 ; 配电网投资 ; 评价指标体系
  • 英文关键词:new electricity reform;;microgrid;;multiple loads;;distribution network investment;;evaluation index system
  • 中文刊名:JSDJ
  • 英文刊名:Electric Power Engineering Technology
  • 机构:国网安徽省电力有限公司经济技术研究院;东南大学电气工程学院;国网马鞍山供电公司;
  • 出版日期:2019-05-28
  • 出版单位:电力工程技术
  • 年:2019
  • 期:v.38;No.185
  • 基金:国家自然科学基金资助项目(51777030)
  • 语种:中文;
  • 页:JSDJ201903018
  • 页数:7
  • CN:03
  • ISSN:32-1866/TM
  • 分类号:114-120
摘要
随着新电改的不断推进以及微网、多元负荷的迅速发展,在政策与技术的综合背景下如何确保电网公司对配电网投资的综合效益成为关键。针对该问题,综合考虑微网、多元负荷对配网投资的影响,构建了一种配网投入-产出效益评价指标体系;其次,结合微网、多元负荷对购售电的影响建立了新电改后配电网的投入产出模型;最后提出了评分法和优选法2种方法进行配网投资的评价以及配网规划项目的优选,其中评分法采用层次分析法及熵权法确定综合权重,优选法采用改进灰色关联度法进行数据分析。实际算例验证了所提评价体系的可行性及有效性。
        With the continuous advancement of new power reforms and the rapid development of microgrids and multiple loads,how to ensure the comprehensive benefits of grid companies' investment in distribution networks is the key to the comprehensive background of policies and technologies. Aiming at this problem,this paper comprehensively considers the impact of micro-grid and multi-load on the investment of distribution network,and constructs a distribution network-input benefit evaluation index system. Secondly,it combines the influence of micro-grid and multi-load on the purchase and sale of electricity. The inputoutput model of the distribution network after the new power reform. Finally,the evaluation of the distribution network investment and the optimization of the distribution network planning project are proposed by the scoring method and the preferred method. The scoring method uses the analytic hierarchy process and the entropy weight method to determine the synthesis. The weighting and optimization method uses the improved gray correlation method for data analysis. The practical examples verify the feasibility and effectiveness of the proposed evaluation system.
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