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考虑碳惩罚的电化学储能消纳风光与调峰研究 被引量:8

Research on electrochemical energy storage to assist new energy consumption and peak load regulation considering carbon penalty
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摘要 为实现“双碳”目标,以新能源为主的电力系统需合理消纳新能源并保证用户用电负荷稳定可控。为考察电化学储能消纳风光与调峰的能力,结合碳排放权交易提出了弃风弃光碳惩罚成本与峰谷差碳惩罚成本,并建立了各项成本最小的多目标协同优化模型。基于比利时电力运营商发布的数据,设置不同功率的电化学储能装置进行系统仿真,仿真结果表明,系统配置800 MW电化学储能装置后,系统弃风率下降4.35%,弃光率下降17.76%,峰谷差缩小至19.25%,能以最低成本4361万元合理地消纳风光以减少碳排放。 To achieve the goals of carbon peaking and carbon neutrality,a new energy oriented power system has to take new energy consumption and stable power supply into consideration.To study the peak load shaving capacity of electrochemical energy storage technology,the concepts of carbon penalty for wind and solar power abandonment and peak shaving cost are proposed,and a multi-objective coordinated optimization model aiming at minimizing various cost is established.Based on the data released by a Belgian electricity system operator,simulation is made on the power system installed electrochemical energy storage devices of different capacities.The simulation results show that installing a 800 MW electrochemical energy storage device in the power system will lead to a 4.35%reduction in wind power curtailment ratio,a 17.76%reduction in solar power abandonment ratio and a 19.25%reduction in peak-to-valley difference.This system can consume local wind and solar power at the lowest cost of 43.61 million yuan.
作者 蓝静 朱继忠 李盛林 史普鑫 郭万舒 史沛然 江长明 LAN Jing;ZHU Jizhong;LI Shenglin;SHI Puxin;GUO Wanshu;SHI Peiran;JIANG Changming(School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China;Dispatching and Control Center,North China Branch of State Grid Corporation of China,Beijing 100053,China)
出处 《综合智慧能源》 CAS 2022年第1期9-17,共9页 Integrated Intelligent Energy
基金 国家自然科学基金项目(52177087) 国家电网公司华北分部专项技术服务项目(SGNC0000DKJS2100196)。
关键词 碳中和 新型电力系统 新能源 电化学储能 碳排放权交易 碳惩罚 风光消纳 调峰 carbon neutrality new power system new energy electrochemical energy storage carbon emissions trading carbon penalty new energy consumption peak shaving
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