Hierarchical Regulation Strategy for Smoothing Tie-Line Power Fluctuations in Grid-Connected Microgrids With Battery Storage Aggregators

被引:0
|
作者
Wen, Guanghui [1 ]
Xu, Jing-Zhe [2 ]
Liu, Zhi-Wei [2 ]
机构
[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Microgrids; Batteries; Regulation; Costs; Wind power generation; Task analysis; Power smoothing; Consensus tracking; distributed coordination; microgrid; predefined-time control; tie-line power flow control; SLIDING-MODE CONTROL; MULTIAGENT SYSTEMS; DEMAND RESPONSE; CONSENSUS; TRACKING; LEADER;
D O I
10.1109/TII.2024.3417248
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The high penetration of renewable energy in grid-connected microgrids creates the tie-line power fluctuations, which can increase operating costs and even pose security and stability risks. Yet, we continue to lack efficient tools to smooth the tie-line power fluctuations within the context of microgrids. In this article, a hierarchical regulation strategy is proposed for smoothing the fluctuations of tie-line power flow in grid-connected microgrids equipped with battery storage units (BSUs), where the BSUs are aggregated into several battery storage aggregators (BSAs) to facilitate the management. This strategy comprises two layers: an upper layer employs a multiple-horizon predictive optimization-based approach to compute the required power allocation for each BSA, ensuring smoothed power trajectories while adhering to system constraints. Subsequently, a lower layer employs a distributed fast tracking-based technique to distribute the allocated power among BSUs within each BSA using predefined-time control theory. Case studies validate the effectiveness of our approach.
引用
收藏
页码:12210 / 12219
页数:10
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