A tri-level control framework for carbon-aware multi-energy microgrid cluster considering shared hydrogen energy storage

被引:9
作者
Armghan, Hammad [1 ]
Xu, Yinliang [1 ]
Bai, Xiang [2 ]
Ali, Naghmash [1 ]
Chang, Xinyue [2 ]
Xue, Yixun [2 ]
机构
[1] Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst TBSI, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
[2] Shanxi Energy Internet Res Inst, Taiyuan, Shanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Event-triggered control; Low-carbon; Multi-microgrids; Shared energy storage; Super-twisting sliding mode control; CONTROL STRATEGY; HYBRID; MANAGEMENT; FLOW;
D O I
10.1016/j.apenergy.2024.123962
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Modern power systems are progressively adopting power-to-gas-based energy storage systems as a standard approach to satisfy their energy requirements. These shared energy storage systems are poised to become a crucial component for future power networks. This paper proposes a novel multi-layer control for microgrid cluster connected to the shared hydrogen energy system. The proposed method involves tertiary, secondary, and primary control layers. A bi-layer optimization configuration method is proposed for tertiary and secondary energy management. The tertiary layer optimizes hydrogen trading among the microgrids and the grid, while the secondary layer ensures cost-effective and low-carbon operation for each microgrid. At the primary level, a modified super-twisting sliding mode controller based on fast-reaching law is used for real-time stability and efficient tracking control. To reduce computational efforts at the primary layer, an intelligent event- triggered framework is introduced. To validate the proposed model, a sophisticated simulation framework has been developed. Hardware-in-the-loop tests have also been conducted to confirm its real-world feasibility. The proposed framework demonstrates promising carbon-aware performance and real-time stability, with an average carbon intensity of 0.0403 kgCO2/kWh 2 /kWh and a bus voltage tracking accuracy of 99.984 %.
引用
收藏
页数:16
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