湖南电力 ›› 2023, Vol. 43 ›› Issue (6): 116-123.doi: 10.3969/j.issn.1008-0198.2023.06.018

• 经验与探讨 • 上一篇    下一篇

基于随机模型预测控制的电氢混合储能微电网弹性调度

吴晓刚, 季青锋, 张有鑫, 刘林萍, 陈楠, 叶杰阳   

  1. 国网浙江省电力有限公司丽水市供电公司,浙江 丽水 323000
  • 收稿日期:2023-08-10 修回日期:2023-10-19 出版日期:2023-12-25 发布日期:2024-01-07
  • 通信作者: 吴晓刚(1972),男,高级工程师,主要从事电网调度运行、保护自动化等方面的研究工作。
  • 基金资助:
    国网浙江省电力有限公司科技项目(5211LS22001J)

Resilient Scheduling of Electric-Hydrogen Hybrid Energy Storage Microgrid Based on Stochastic Model Predictive Control

WU Xiaogang, JI Qingfeng, ZHANG Youxin, LIU Linping, CHEN Nan, YE Jieyang   

  1. State Grid Lishui Power Supply Company, Lishui 323000,China
  • Received:2023-08-10 Revised:2023-10-19 Online:2023-12-25 Published:2024-01-07

摘要: 在可再生能源的能源范式前提下,微电网可以增强电力系统的灵活性。然而当微电网被整合到电力市场时,评价指标主要是基于经济标准,而忽略了微电网自身的弹性。为了增强微电网自身弹性,通过数值模拟提出一种基于弹性策略的混合储能微电网系统优化方法,构建一种由电池和氢组成的混合储能系统(energy storage system,ESS),以实现快速过渡响应,随机模型预测控制(stochastic model predictive control,SMPC) 技术用于控制问题。控制过程中,SMPC不仅考虑在调度水平的所有样本瞬间,还涉及并网模式和孤岛模式之间的样本转换问题。通过考虑混合储能系统的健康运行,所提出的控制方案中还涉及储能设备的退化问题。实验研究表明,尽管主电网停电事件存在不确定性,但在停电的瞬间微电网仍然可以在任何样本时刻为内部重要负荷供电,提出的控制策略能让每一个ESS得到最大容量的利用。

关键词: 能源管理, 多场景, MPC, 弹性, 微电网, 混合储能系统

Abstract: Microgrids have the potential to improve the power system′s flexibility within the framework of an energy paradigm centered on renewable resources. But when microgrids are included into the electrical market, the metrics used to evaluate their use mostly focus on economic factors, neglecting the resilience of the microgrid itself. This research offers a hybrid energy storage microgrid system optimization technique based on the resilience strategy through numerical simulation to improve the microgrid's resilience. In order to achieve a fast transition reaction, a hybrid energy storage system (ESS) made of batteries and hydrogen is built in this study. The problem is then controlled using the stochastic model predictive control (SMPC) technique. In addition to taking into account every sample moment at the dispatch level, the sample transition problem between grid-connected and islanded modes is also taken into account by the SMPC control mechanism. The suggested control approach takes into account the healthy operation of the hybrid energy storage system (ESS) in order to address the deterioration of energy storage devices.The practical tests show, although there is uncertainty in the main power grid,it is demonstrated that the microgrid can still supply the key internal loads at any sample instant during the occurrence in the event of a main grid outage, and that the devised control method maximizes the capacity utilization of each ESS.

Key words: energy management, multi-scenario, MPC, resilience, microgrid, hybrid energy storage system

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