Decentralized coordinated emergency frequency control strategy for renewables-rich power systems based on multi-agent reinforcement learning
With the rapid growth of renewable energy in the power system and the implementation of high-capacity LCC-HVDC projects, the frequency support capability of the grid is decreasing. Existing centralized single-measurement methods and model-based emergency frequency control (EFC) methods face signific...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525005836 |
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| Summary: | With the rapid growth of renewable energy in the power system and the implementation of high-capacity LCC-HVDC projects, the frequency support capability of the grid is decreasing. Existing centralized single-measurement methods and model-based emergency frequency control (EFC) methods face significant challenges. To fill this gap, this paper proposes a renewables-rich grids EFC method for coordinating LCC-HVDC emergency power support and load shedding. Combined with the system frequency response (SFR) model parameter identification method, the grid frequency regulation capability of different fault conditions is evaluated. A MADRL algorithm with integrated SFR model is developed to overcome the problem of inaccurate assessment of centralized action values in the MADRL algorithm used for EFC, and a decentralized and cooperative EFC strategy is realized. The effectiveness and adaptability of the proposed method is demonstrated by simulating the modified IEEE 39 bus system. |
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| ISSN: | 0142-0615 |