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考虑储能装置寿命的电网侧规模化电化学储能规划与评估方法 被引量:2

Planning and Assessment Method of Large-Scale Electrochemical Energy Storage in Power Grids Considering Battery Aging
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摘要 在“双碳”目标提出的背景下,新能源机组在电力系统中的并网规模逐步增加;而随着社会经济的持续快速发展,负荷类型日趋多样化,负荷需求不断提高,这就导致电力系统中源荷两端出力与用能的不确定性与不匹配性特征愈发明显,系统对灵活性调节资源的需求不断提高。储能技术是提升电网灵活性、优化新能源并网友好性的重要手段。提出一种考虑充放电寿命的电化学储能规划配置与运行模拟模型,以及基于精细化生产运行模拟的规划方案评估方法,为新型电力系统中受端电网的储能布局与配置提供了理论支撑。算例表明:加入储能后,可以降低系统运行成本与温室气体排放,显著提升系统可靠性与新能源消纳能力。 China will strive to peak carbon dioxide emissions before 2030 and achieve carbon neutrality before 2060,which requires the development of a power network with high penetration of renewable energy generation.With the addition of new types of load technologies and larger peak-valley difference due to the development of economy,the uncertainty and unbalance between generation and load becomes a salient problem for low-carbon power networks.Energy storage devices can provide flexibility to such power networks and are considered to be a vital part in the construction of low-carbon power systems.In this research,a planning method for large-scale electro-chemical energy storage devices in networks considering battery ageing is developed,and the assessment of energy storage based on simulation is performed.This method can provide guidance for the configuration of energy storage devices in future low-carbon power networks.The addition of energy storage can lower the cost of system operation and decrease the emission of greenhouse gases.The reliability of the system and the ability of renewable energy consumption can be enhanced.
作者 齐步洋 卓振宇 杜尔顺 张宁 康重庆 QI Buyang;ZHUO Zhenyu;DU Ershun;ZHANG Ning;KANG Chongqing(State Key Lab of Control and Simulation of Power Systems and Generation Equipments(Department of Electrical Engineering,Tsinghua University),Beijing 100084,China;Laboratory of Low Carbon Energy,Tsinghua University,Beijing 100084,China)
出处 《中国电力》 CSCD 北大核心 2023年第8期1-9,47,共10页 Electric Power
基金 国家电网有限公司科技项目(能源转型条件下新能源合理利用率评估技术研究,1300-202156423A-0-0-00)。
关键词 储能寿命 规模化储能 新能源消纳 优化规划 运行评估 energy storage aging large-scale energy storage new energy consumption optimal planning operation assessment
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