文章摘要
朱刘柱,叶 斌,任曦骏,王 宝,任 可,陶文斌.满足电网调峰的化学储能最优容量敏感因素分析[J].电力需求侧管理,2022,24(2):48-53
满足电网调峰的化学储能最优容量敏感因素分析
Sensitive factors analysis of optimal capacity of battery energy storage system suitable for peak load regulation
投稿时间:2021-11-25  修订日期:2022-01-20
DOI:10. 3969 / j. issn. 1009-1831. 2022. 02 . 008
中文关键词: 调峰  化学储能  容量配置  敏感因素
英文关键词: peak load regulation  battery energy storage  capacity determination  sensitive factors
基金项目:国网安徽省电力有限公司经济技术研究院科技资助项目(SGAHJY00ZLJS1900049)
作者单位
朱刘柱 国网安徽省电力有限公司 经济技术研究院合肥 230022 
叶 斌 国网安徽省电力有限公司 经济技术研究院合肥 230022 
任曦骏 国网安徽省电力有限公司 经济技术研究院合肥 230022 
王 宝 国网安徽省电力有限公司 经济技术研究院合肥 230022 
任 可 国网江苏省电力有限公司徐州供电分公司江苏 徐州 221005 
陶文斌 华北电力大学 现代电力研究院北京 102206 
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中文摘要:
      近年来化学储能由于选址灵活、建设周期短、成本下降快的特点,逐渐在电网调峰中得到应用。然而化学储能用于电网调峰时的最优容量受哪些敏感因素影响以及如何影响,目前尚未得到充分研究。针对该内容,构建了用于调峰的化学储能最优容量配置模型,模型以系统总成本最小为目标,以目标规划年各类电源、负荷的规划或预测数据为边界,对各储能容量待选方案进行全年全时段生产模拟,并采用混合整数线性规划法进行优化求解。在此基础上,归纳了影响储能最优容量配置的敏感因素,并对其影响方式和影响程度进行实证研究分析。结果表明,储能的单位投资成本和运行年限以及负荷的尖峰供应和低谷调峰需求将对储能的最优容量配置和系统总成本产生显著影响。
英文摘要:
      Due to flexible location, short construction cycle and rapid cost reduction, chemical energy storage has been applied to power grid peak load regulation in recent years. However, re-search on factors sensitive to optimal capacity of battery energy storage system suitable for peak load regulation is still insufficient.A model about optimal capacity of battery energy storage for peak load regulation is constructed. The model takes lowest social energy consumption cost as a goal, and planned or forecasted data of allkinds of power source and load in target planning year as boundary condition. The model makes full time production simulation foreach alternative capacity scheme of battery energy storage through-out the year, and solves it by mixed integer linear programming.Based on the work above, the sensitive factors that affect the optimal capacity of battery energy storage are summarized, and empirical research and analysis on the mode and degree of its influence are carried out. The results show that the energy storage factor, including unit investment cost and operating years, as well as demand factor such as peak load supply and low load adjustment, caninfluence the optimal capacity of battery energy storage and the total system cost.
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