摘要
基于低碳电力和智能电网的背景,考虑现有的风电消纳困境,该文以绿色电力证书为基础,结合碳排放权的交易制度,同时引入需求侧高载能企业负荷的响应模型,并将虚拟电厂经济效益作为优化目标函数,建立以绿证交易为基础,结合碳交易制度和高载能需求侧响应的“源-荷”双侧互补协调优化调度模型。最后将某省份区域电网代入到该文所构建模型之中进行仿真,并采用自适应免疫疫苗算法对模型进行求解,结果表明所建立的计及绿证交易与碳交易的模型有利于促进风电消耗,降低单位发电量的碳排放。
Under the background of low-carbon power and smart grid,considering the existing dilemma of wind power consumption,based on the Green Power Certificate and carbon emission trading system,at the same time introducing the response model of the demand side high capacity energy enterprise load,and taking the economic benefit of the virtual power plant as the optimization objective function,a“source-load”dual-side complementary coordinated optimal dispatch model is established.And then,the regional power grid of a province is substituted into the model constructed in this paper for simulation.Finally,the model is solved using advanced adaptive immune vaccine algorithm.The results show that the established model taking into account green certificate trading and carbon trading is beneficial to improve wind power utilization and reduce carbon emission per unit of electricity generation.
作者
袁桂丽
刘培德
唐福斌
田文利
Yuan Guili;Liu Peide;Tang Fubin;Tian Wenli(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2022年第6期190-195,共6页
Acta Energiae Solaris Sinica
基金
中国工程院咨询研究项目(2018-XY-22)
内蒙古自治区重大专项项目(2021D0026)。
关键词
自适应免疫疫苗算法
绿色电力证书交易制度
碳交易
风电
负荷优化调度
adaptive immune vaccine algorithm
green power certificate trading system
carbon trading
wind power
load optimization scheduling
