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用于缓解电网调峰压力的储能系统规划方法综述
引用本文:徐国栋,程浩忠,马紫峰,范松丽,方斯顿,马则良.用于缓解电网调峰压力的储能系统规划方法综述[J].电力自动化设备,2017,37(8).
作者姓名:徐国栋  程浩忠  马紫峰  范松丽  方斯顿  马则良
作者单位:上海交通大学 电子信息与电气工程学院,上海 200240,上海交通大学 电子信息与电气工程学院,上海 200240,上海交通大学 化学化工学院,上海 200240,上海交通大学 电子信息与电气工程学院,上海 200240,上海交通大学 电子信息与电气工程学院,上海 200240,国家电网公司华东分部,上海 200120
基金项目:国家重点基础研究发展计划(973计划)资助项目(2014CB239703)
摘    要:随着风电、光伏渗透率逐渐增大,风电、光伏给电网运行带来了诸多挑战,其中调峰问题尤为突出。在能源互联网的推动下,利用储能系统缓解电网调峰压力正受到越来越多的关注。首先总结了适用于电网调峰的大容量储能技术的研究现状,随后以储能系统接入电网方式为切入点,分别对集中式与分布式接入方式的储能系统规划方法进行研究和归纳,然后评述了规划模型的求解算法。最后,探讨了未来待研究的关键科学问题。

关 键 词:大容量储能技术  集中式接入  分布式接入  调峰  规划方法  储能
收稿时间:2017/4/9 0:00:00
修稿时间:2017/7/10 0:00:00

Overview of ESS planning methods for alleviating peak-shaving pressure of grid
XU Guodong,CHENG Haozhong,MA Zifeng,FAN Songli,FANG Sidun and MA Zeliang.Overview of ESS planning methods for alleviating peak-shaving pressure of grid[J].Electric Power Automation Equipment,2017,37(8).
Authors:XU Guodong  CHENG Haozhong  MA Zifeng  FAN Songli  FANG Sidun and MA Zeliang
Affiliation:School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China and East China Grid Company Limited, Shanghai 200120, China
Abstract:With the gradual increase of their penetration rates, the wind power and photovoltaic power have brought many challenges to the operation of power grid, especially its peak-shaving. Under the impetus of energy internet, more and more attentions are paid to alleviating the peak-shaving pressure by ESS(Energy Storage System). The research status of large-capacity energy storage technologies suitable for peak-shaving is summarized; with the ESS connecting mode as the breakthrough point, the ESS planning methods for centralized and distributed connecting modes are studied and induced respectively; the solvers of planning models are reviewed; and the key scientific topics for future research are discussed.
Keywords:large-capacity energy storage technology  centralized connecting mode  distributed connecting mode  peak-shaving  planning methods  energy storage
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