Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (6): 116-123.doi: 10.3969/j.issn.1008-0198.2023.06.018

• Experience and Discussion • Previous Articles     Next Articles

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

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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