中国电力 ›› 2021, Vol. 54 ›› Issue (6): 128-135.DOI: 10.11930/j.issn.1004-9649.202004196

• 新能源 • 上一篇    下一篇

基于负荷功率特征分区的用户侧储能经济运行优化

易斌1, 赵伟2, 邓凯1, 钟国彬1, 肖元3   

  1. 1. 南方电网电力科技股份有限公司, 广东 广州 510080;
    2. 广东电网有限责任公司电力科学研究院, 广东 广州 510080;
    3. 长园深瑞继保自动化公司, 广东 深圳 518057
  • 收稿日期:2020-04-25 修回日期:2020-11-25 发布日期:2021-06-05
  • 作者简介:易斌(1988-),男,博士,高级工程师,从事电力系统储能集成与应用技术研究,E-mail:yb0702dky@foxmail.com;赵伟(1981-)男,博士,高级工程师(教授级),从事电力系统储能集成与应用技术研究,E-mail:zh_solar@126.com;邓凯(1989-),男,硕士,高级工程师,从事电力系统储能集成与应用技术研究,E-mail:dengkair@163.com
  • 基金资助:
    中国南方电网公司科技项目(GD-KJXM-20172974)

Economic Operation Optimization of User-Side Energy Storage System Based on Complex Power Characteristic Zone of Load

YI Bin1, ZHAO Wei2, DENG Kai1, ZHONG Guobin1, XIAO Yuan3   

  1. 1. China Southern Power Grid Technology Co.,Ltd., Guangzhou 510080, China;
    2. Electric Power Research Institute of Guangdong Power Grid Corporation, Guangzhou 510080, China;
    3. CYG SUNRI Co.,Ltd., Shenzhen 518057, China
  • Received:2020-04-25 Revised:2020-11-25 Published:2021-06-05
  • Supported by:
    This work is supported by Science and Technology Support Project of China Southern Power Grid (No.GD-KJXM-20172974)

摘要: 为充分发挥储能在需量管理、分时电价管理、电能质量优化等方面的多元价值,提升用户侧储能项目运营经济性,采用极坐标相量法对用户侧负荷和储能功率特征分布进行分析,提出了基于负荷功率特征分区的用户侧储能经济运行优化策略,可有效减少用户基本电费、电度电费和功率因数调整电费,且参数选取简单,便于工程应用推广。

关键词: 储能系统, 运行优化, 功率特征分布, 功率因数, 需量管理

Abstract: In order to improve the operational economics of user-side energy storage (ES) projects and take full advantages of ES in demand management, time-of-use electricity price management and power quality optimization, in the paper, the complex power characteristic distribution of load and ES are analyzed with the phasor method in polar coordinate. Then an economic operation optimization strategy for user-side ES is proposed based on the load power characteristic zone, which can effectively reduce the user's capacity tariff, electric tariff and power-factor regulating tariff. Additionally, because of its simple parameter setting, it is convenient for the promotion of engineering applications.

Key words: energy storage system, operation optimization, power characteristic distribution, power factor, demand management