储能科学与技术 ›› 2021, Vol. 10 ›› Issue (4): 1353-1363.doi: 10.19799/j.cnki.2095-4239.2021.0114

• 储能系统与工程 • 上一篇    下一篇

兼顾储能系统热管理与电池寿命的可再生能源储能电站经济调度

张超1(), 康慨1, 卢胜1, 覃新宇1, 黄彦博2(), 李正天2()   

  1. 1.湖北省电力勘测设计院有限公司,湖北 武汉 430040
    2.强电磁工程与新技术国家重点实验室(华中科技大学),湖北 武汉 430074
  • 收稿日期:2021-03-18 修回日期:2021-05-06 出版日期:2021-07-05 发布日期:2021-06-25
  • 通讯作者: 李正天 E-mail:zhangchaosj@powerchina-hb.com;huang_yb@hust.edu.cn;453874933@qq.com
  • 作者简介:张超(1974—),男,硕士,工程师,从事新能源发电及储能电站规划设计及项目开发工作,E-mail:zhangchaosj@powerchina-hb.com|黄彦博(1997—),男,硕士研究生,研究新能源联合储能电站的并网运行以及规划,E-mail:huang_yb@hust.edu.cn
  • 基金资助:
    湖北省电力勘测设计院科技项目“储能在新能源场站中的运行控制与优化配置技术研究”

Economic scheduling of renewable energy storage plants with integrated thermal management of energy storage systems and battery life

Chao ZHANG1(), Kai KANG1, Sheng LU1, Xinyu QIN1, Yanbo HUANG2(), Zhengtian LI2()   

  1. 1.Hubei Electric Engineering Co. Ltd, Wuhan 430040, Hubei, China
    2.State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology), Wuhan 430074, Hubei, China
  • Received:2021-03-18 Revised:2021-05-06 Online:2021-07-05 Published:2021-06-25
  • Contact: Zhengtian LI E-mail:zhangchaosj@powerchina-hb.com;huang_yb@hust.edu.cn;453874933@qq.com

摘要:

可再生能源储能电站的长期稳定运行与储能系统的热量管理息息相关,合理的热量管理策略能够保障储能电站的经济性与安全性。为了合理有效地进行储能系统热量管理,本文综合电池寿命成本,以日内实时调度的最高净盈利作为优化目标,提出了考虑热量管理与电池寿命损耗成本的储能电站调度策略。并利用分片McCormick方法将双线性项精细线性化,再利用Gurobi进行快速求解,满足日内实时调度要求。案例仿真结果表明,所提模型能够兼顾热量管理与电站经济性,与传统调度策略相比具有明显优越性。且分片McCormick方法在可接受误差范围内,求解速度优于常规智能算法。

关键词: 储能电站, 热量管理, 分片McCormick, 经济调度

Abstract:

The long-term stable operation of renewable battery energy storage systems is closely related to the heat management of energy storage systems, and a reasonable heat management strategy can guarantee the economy and safety of the system. In order to determine a way to carry out the heat management of energy storage systems reasonably and effectively, this study proposes a scheduling strategy for energy storage power plants that considers heat management and battery life with an optimization target of high net profit in intraday real-time scheduling. It also uses the piecewise McCormick method to linearize the bilinear term and then uses Gurobi for a fast solution to meet the intraday real-time scheduling requirements. The case simulation shows that the proposed model can balance heat management and plant economy, which is significantly superior to the traditional scheduling strategy. The piecewise McCormick method offers better results than the general intelligent algorithm in terms of solution time and smaller errors.

Key words: battery energy storage system, heat management, piecewise McCormick, economic dispatch

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