摘要
作为售电企业主要利润来源,用电客户资源在电力市场竞争中占据了举足轻重的地位.基于电力商品的特殊性,本文中通过针对性调查问卷及数学建模的方式,将潜类分析方法引入电网客户分类分析中,对中国东部地区的电力消费群体对于选择可再生能源发电的潜在需求进行分析,将消费者群体划分成3个不同的类型,分别为价格敏感型消费者、绿色消费者和价格不敏感消费者.发现约有25%的消费者会为了增加可再生能源发电的比例而支付超过现有电价的费用,这一结论可以为电网售电公司配网投资决策提供理论依据.
As a major source of profit for power supply companies, the electricity customer resources have played a pivotal role in the electricity market competition. Based on the particularity of electric power commodities, we introduced the latent class analysis method into the classification analysis of grid customers through targeted questionnaires and mathematical modeling methods, and the potential demand for power generation groups in a province of eastern China to select electricity generated by renewable energy? In the analysis, we divided the consumer group into three different types, such as price-sensitive consumers, green consumers and price-insensitive consumers. It is found that about 25% of total consumers will pay more than the current electricity price in order to increase the proportion of renewable energy power generation. This conclusion can provide a theoretical basis for the power grid company,s distribution network investment decision.
作者
吴要毛
陈昊
王龙
曹建伟
吴凯
袁慧宏
郑伟
秦汉时
WU Yaomao;CHEN Hao;WANG Long;CAO Jianwei;WU Kai;YUAN Huihong;ZHENG Wei;QIN Hanshi(State Grid Huzhou Power Supply Company, Huzhou 313000, China;Huzhou Electric Power Design Institute Company Limited, Huzhou 313000, China;State Grid Electric Power Research Institute (Wuhan) Efficiency Evaluation Company Limited, Wuhan 430074, China;NARI Group Co. Ltd. , Nanjing 211000,China)
出处
《湖北大学学报（自然科学版）》
CAS
2019年第4期391-398,共8页
Journal of Hubei University：Natural Science
关键词
潜类分析
投资策略
售电市场
用户分类
latent class choice model
investment strategy
electricity market
consumer classification
