Noncooperative Game-Based Composite Voltage Regulation for Microgrid With Switching Topologies and Prescribed Performance
In this paper, the voltage regulation issue of the microgrid with the switching topologies, nonlinear coupling and prescribed performance is investigated. Firstly, to remove the requirement of the global topology information, a noncooperative game layer with the fully distributed Nash equilibrium seeking (FDNES) approach is devised. In this study, the noncooperative game is performed over the switching communication topologies. Furthermore, the voltage regulation layer is formulated, which integrates the adaptive coupling observer (ACO) and prescribed performance based composite voltage regulation (PPCVR) methods. Specifically, in the ACO, an adaptive observer gain is devised to attenuate the damaging peak dynamics. For the PPCVR, the prescribed performance function based dynamic surface control strategy is formulated such that the voltage tracking error can be restrained according to the specified constraints, which will enhance the voltage regulation performance. Additionally, the PPCVR utilizes the coupling estimation by the ACO to compensate the nonlinear coupling dynamics. It is shown that the signals of the closed-loop system are semi-global uniformly and ultimately bounded (SGUUB). Finally, comparative studies and hardware-in-loop experiment by RT-LAB platform are performed to illustrate the effectiveness of the proposed voltage regulation strategy.
Authors
- Esam H. Abdelhameed (ORCID: https://orcid.org/0000-0001-8208-580X)
- Longjie Zhang (ORCID: https://orcid.org/0000-0002-0933-5216)
- Hongru Wang (ORCID: https://orcid.org/0000-0001-8305-5231)
- Yong Chen (ORCID: https://orcid.org/0000-0003-4580-8655)
- Yuezhi Liu (ORCID: https://orcid.org/0000-0002-0319-0685)
Institutions
- University of Electronic Science and Technology of China (CN)
- Aswan University (EG)
Publication Details
- Journal
- IEEE Transactions on Network Science and Engineering
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1109/tnse.2025.3538603
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Sichuan Province