Networking Strategy of Small Hydropower Microgrid Under Weak Communication Conditions
Small hydropower-dominated microgrids enable power exchange with the main grid during grid-connected operation but face frequency stability challenges during sudden islanding (e.g., line faults), requiring prompt generation curtailment or load shedding. In communication-constrained mountainous regions, conventional methods such as high-frequency tripping or low-frequency load shedding often struggle to achieve precise frequency regulation A hierarchical strategy integrating master station centralized decision making and substation local control is proposed. This study theoretically analyzes the post-islanding frequency dynamics of small hydropower microgrids. The master station formulates optimal shedding decisions using regional power flow data, while substations execute decisions via local measurements to mitigate communication issues. A constrained mathematical model is established, solved using a heuristic algorithm, validated through electromagnetic transient simulations, and compared with traditional schemes. The proposed scheme achieves precise surplus capacity shedding, enhancing frequency stability during abrupt islanding with reduced over-/under-tripping compared to that of conventional methods. This hierarchical strategy enhances frequency regulation capability under communication constraints, ensuring reliable operation of small hydropower microgrids during sudden islanding and providing a practical solution for remote regions with limited communication infrastructure.
Authors
- Na Shen
- Zong-Qi Liang (ORCID: https://orcid.org/0009-0005-2235-1594)
- Zhifeng Chen (ORCID: https://orcid.org/0000-0001-7824-373X)
- Yuan Tang (ORCID: https://orcid.org/0000-0001-6772-9427)
- Zifan Zhang (ORCID: https://orcid.org/0000-0003-2268-9876)
Institutions
- Guangdong University of Technology (CN)
- City University of Hong Kong (HK)
- Guangzhou University (CN)
- PowerELab (China) (CN)
- Guangzhou Electronic Technology (China) (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Energies
- Published
- 2025-10-20
- DOI
- https://doi.org/10.3390/en18205518
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00