摘要
由于新增配网的投资建设存在多主体问题,同时各主体之间的合作模式尚未明确。因此,进行了增量配网与供电公司合作模式的研究,首先基于显著性—冗余分析构建评价指标体系;其次,为保证赋权的准确性,结合客观法与主观法构建了基于熵权法修正的层次分析法指标赋权模型;然后,基于变化速度状态模型与变化速度趋势预测模型,构建增量配网合作模式动态综合模糊评估模型;最后,设置供电公司绝对控股、供电公司相对控股、供电公司参股、供电公司不参股4种情景进行算例分析。算例结果表明,动态综合评估模型相对于静态评估模型更能反映成效的真实水平。
Due to the multi-agent problem in the investment construction of a newly added distribution network and the unclear cooperation mode between the agents,the paper studies the cooperation mode between the incremental distribution network and the power supply company.Firstly,the paper constructs an evaluation index system based on saliency-redundancy analysis.Then,in order to ensure the weighting accuracy,an objective weighting method and a subjective method are utilized to construct an index weighting model based on the analytic hierarchy process method modified by the entropy weighting method.After that,on the basis of the changing speed state model and the changing speed trend prediction model,a dynamic dynamic-comprehensive fuzzy evaluation model for the Cooperation Mode of the incremental distribution network is constructed.Finally,four scenarios are set up:absolute control of power supply company,relative control of power supply company,the shareholding of power supply company,and non-shareholding of power supply company to perform example analysis.The calculation examples show that the dynamic-comprehensive evaluation model can reflect the actual level of effectiveness better than the static evaluation model.
作者
刘宣
谭彩霞
王绵斌
安磊
谭忠富
LIU Xuan;TAN Caixia;WANG Mianbin;AN Lei;TAN Zhongfu(Economic and Technical Research Institute of State Grid Jibei Electric Power Co.,Ltd.,Beijing 100038,China;School of Economics and Management,North China Electric Power University,Beijing 102206,China;School of Economics and Management,Yan’an University,Shanxi 71600,China)
出处
《电力科学与技术学报》
CAS
北大核心
2021年第5期87-96,共10页
Journal of Electric Power Science And Technology
基金
国家自然科学基金(71573084)
国网冀北经研院科技创新成本类项目(B3018F20000G)。
关键词
增量配网
熵权法—层次分析法
动态综合模糊评估
合作模式
incremental distribution network
entropy weight method-analytic hierarchy process
dynamic comprehensive fuzzy evaluation
cooperation model
