储能科学与技术 ›› 2025, Vol. 14 ›› Issue (2): 876-878.doi: 10.19799/j.cnki.2095-4239.2025.0126

• 储能技术经济性分析 • 上一篇    下一篇

成本角度分析储能技术与电力系统的优化设计

许堉坤(), 俞钧, 蒋超, 王婧骅, 赵婉茹   

  1. 国网上海市电力公司,上海 200030
  • 收稿日期:2025-02-12 修回日期:2025-03-03 出版日期:2025-02-28 发布日期:2025-03-18
  • 通讯作者: 许堉坤 E-mail:xuyukun0418@163.com
  • 作者简介:许堉坤(1988—),女,硕士,工程师,主要研究为电力营销、用电信息采集、反窃电以及电力新技术,E-mail:xuyukun0418@163.com
  • 基金资助:
    国网电力公司科技项目(B3090D220000)

Cost analysis of energy storage technology and power system optimization design

Yukun XU(), Jun YU, Chao JIANG, Jinghua WANG, Wanru ZHAO   

  1. State Grid Shanghai Municipal Electric Power Company, Shanghai 200030, China
  • Received:2025-02-12 Revised:2025-03-03 Online:2025-02-28 Published:2025-03-18
  • Contact: Yukun XU E-mail:xuyukun0418@163.com

摘要:

储能技术与电力系统紧密相连,共同支撑着现代能源体系的转型与发展。在当前全球推动“双碳”目标即碳达峰和碳中和的背景下,储能技术成为了电力系统中不可或缺的一部分。基于此概念,从减少成本的角度分析储能技术与电力系统的优化设计具有重大的现实意义。对此,本文针对成本角度分析储能技术与电力系统的优化设计进行综述,包括储能技术与电力系统的研究进展,以及当前储能技术与电力系统的工作原理和优势等;再以此为基础,重点阐述了如何在成本角度进行储能技术与电力系统的优化设计。

关键词: 储能技术, 电力系统, 经济效益, 优化设计

Abstract:

Energy storage technology is closely linked with the power system, jointly supporting the transformation and development of the modern energy system. In the context of the current global push for the "dual carbon" goals—namely, peaking carbon emissions and achieving carbon neutrality—energy storage technology has become an indispensable part of the power system. Based on this concept, analyzing the optimization design of energy storage technology and power systems from a cost perspective is of great practical significance. Accordingly, this study provides an overview focused on cost-based analysis of the optimization design of energy storage technology and power systems. This includes research progress in energy storage technology and power systems, namely their current working principles and advantages; then, based on this foundation, it elaborates on how to optimize the design of energy storage technology and power systems from a cost perspective.

Key words: energy storage technology, power system, economic benefits, optimization design

中图分类号: