摘要
大用户直购电交易在新电改背景下已成为电力市场领域研究的热点.回顾了大用户直购电发展历程,分析了梯级电站参与大用户直购电的风险.通过对市场电价进行“以丰补枯”成本测算,引入电量转移力度系数对电站间电量进行转移,建立发电企业效益优化模型.以四川省某梯级水电站为例,针对丰、平、枯水期变动电价特性,对同一成本电价电站采用不同电量转移系数.算例结果表明,电量转后梯级整体效益提升15.4%,其中,丰、平、枯电量转移利润贡献率分别为5.2%、3.7%和91.1%.研究成果对发电企业电量指标统筹安排具有重要现实意义,对其制定营销策略具有一定参考价值.
Against the background of the new electricity reform,the direct purchase of electricity by large users has become a research hot spot in the field of electricity market.This paper reviews the development history of direct power purchase by large users,and explores the risk of cascade power plants participating in direct power purchase by large users.By calculating the market electricity cost of"replenishing the shortage by abundant"and introducing the power transfer coefficient to transfer electricity among power stations,the benefit optimization model for power generators is established and analyzed.Taking a cascade hydropower station in Sichuan Province as an example,different power transfer coefficients are adopted for the hydropower stations of the same cost in view of the characteristics of fluctuating electricity price in wet,normal and dry periods.The results show that the overall benefit of the cascade station increases by 15.4%power quantity transfer,and the profit contribution rates of the power transfer in the wet,normal and dry periods are 5.2%,3.7%and 91.1%respectively.The research results have important practical significance for the overall arrangement of power quantity indicators for power generators and also have certain reference value for the formulation of marketing strategies.
作者
覃琳
黄炜斌
马光文
陈仕军
QIN Lin;HUANG Weibin;MA Guangwen;CHEN Shijun(StateKeyLaboratory ofHydraulicandMountainRiverEngineering(CollegeofWaterResource&Hydropower,Sichuan University),Chengdu610065,Sichuan,China;HuadianSichuanPowerGenerationCo.,Ltd.,Chengdu610041,Sichuan,China)
出处
《电网与清洁能源》
2019年第3期7-13,共7页
Power System and Clean Energy
基金
国家电网公司总部科技项目(SGSCDK00XTJS1700047)~~
关键词
大用户直购电
“以丰补枯”成本电价
电量转移
效益优化
direct power purchase by large consumers
generation compensation cost price
power quantity transfer
benefit optimization