Adaptive Inertia Control for Virtual Synchronous Generators to Enhance Response Performance of a Wind-Solar-Storage Combined Power Generation System
The damage of extreme disasters to a power grid is becoming increasingly severe, and energy storage control technology is emerging as a measure to enhance grid resilience. In this study, a novel adaptive inertia control for virtual synchronous generators is proposed for the control of wind-solar-sto...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2025-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9878003/ |
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| Summary: | The damage of extreme disasters to a power grid is becoming increasingly severe, and energy storage control technology is emerging as a measure to enhance grid resilience. In this study, a novel adaptive inertia control for virtual synchronous generators is proposed for the control of wind-solar-storage combined power generation systems to form the ability for long-term power supply for load. This technology can not only provide inertia for the system but also dynamically adjust inertia according to frequency variation caused by power disturbance, avoiding rapid rise and drop of frequency in the transient process and increasing damping of a wind-solar-storage combined power generation system when the main network fails. Through low pass filtering of the sampled signal and design of the inertia control law, frequent inertia adjustment caused by measurement noise and random small fluctuation of wind speed can be avoided, and the inertia adjustment amount would not exceed the limit under any large power disturbance. The inertial boundary of the system is discussed according to the primary energy storage capacity and the tolerant power of the inverter. Convergence of a novel adaptive control algorithm is proved. Finally, a simulation model is built on PSCAD / EMTDC platform, and the effectiveness of the proposed control strategy is verified. |
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| ISSN: | 2096-0042 |