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作 者:朱刘柱 叶斌 任曦骏 王宝 任可 陶文斌 ZHU Liuzhu;YE Bin;REN Xijun;WANG Bao;REN Ke;TAO Wenbin(Institute of Economy and Technology,State Grid Anhui Electric Power Co.,Ltd.,Hefei 230022,China;Xuzhou Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Xuzhou 221005,China;Academy of Modern Electric Power Research,North China Electric Power University,Beijing 102206,China)
机构地区:[1]国网安徽省电力有限公司经济技术研究院,合肥230022 [2]国网江苏省电力有限公司徐州供电分公司,江苏徐州221005 [3]华北电力大学现代电力研究院,北京102206
出 处:《电力需求侧管理》2022年第2期48-53,共6页Power Demand Side Management
基 金: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)。
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。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, research 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 all kinds of power source and load in target planning year as boundary condition. The model makes full time production simulation for each alternative capacity scheme of battery energy storage throughout 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, can influence the optimal capacity of battery energy storage and the total system cost.
分 类 号:TM715[电气工程—电力系统及自动化] TK018[动力工程及工程热物理]
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