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高压企业客户电力信用综合评价体系及应用 被引量:4

Comprehensive evaluation system and application of high voltage power customers’ credit
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摘要 传统电力信用研究和应用多以用电行为、缴费行为失信等负面评价为主,缺乏正向评价和激励应用,且仅应用在供电企业内部对客户管理和电费风险防控方面,没有在社会中跨界应用。首先借鉴企业社会信用评分指标体系的建设思想,将高压企业客户电力信用指标集中在守信能力和守信行为2个方面,设计了以大数据为支撑的高压企业客户电力信用综合评价指标体系,包含用电价值、电网互动价值、缴费行为、用电行为、服务互动行为和电力市场交易诚信六大评价维度。其次,设计了电力信用等级和信用分计算、修正评价流程,并以某省级电网近29万户高压企业客户为例,实证分析了电力信用总体情况,证明了所建立方法的科学性和规范性。最后,基于电力信用评级,设计了基于电力信用的差异化奖惩措施,对内有效防范风险、挖掘优质客户,对外实现电力信用价值输出。 Traditional electric power credit research and ap- plication are mainly based on negative evaluation such as electricity behavior, payment behavior dishonesty, lacking of positive evalu- ation and incentive application, only applied to customer management and electricity risk prevention, no cross-border application in society.Firstly, the power credit indices of high-voltage enterprise customers are concentrated on two aspects: trustworthy ability and trustworthy behavior. A comprehensive evaluation index system for power credit of high-voltage enterprise customers based on big data is designed, which includes six evaluation dimensions: power consumption value, power grid interaction value, payment behavior, power consumption behavior, service interaction behavior and power market transaction integrity. Secondly, the process of calculating, revising the credit rating and credit score of electric power is designed. Taking nearly 290 thousand high voltage enterprise customers of a provincial power grid as examples, the scientificity and standardization of the established method are proved. Finally, based on the electric power credit rating, the differentiated reward and punishment measures are designed, which can effectively guard against internal risks, tap high-quality customers and realize the export of electric power credit valuel.
作者 邹云峰 邓君华 徐超 李悦 厉宇程 ZOU Yunfeng;DENG Junhua;XU Chao;LI Yue;LI Yucheng(Electric Power Research Institute,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000,China;College of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou 412000,China)
出处 《电力需求侧管理》 2019年第3期37-41,共5页 Power Demand Side Management
基金 国家自然科学基金项目(61772131) 国家电网公司科技项目(5210EF18001X)~~
关键词 高压企业客户 电力信用 守信能力 守信行为 信用评价输出 high voltage power customers power credit trustworthy ability trustworthy behavior output of credit evaluation
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