Practical Power System Inertia Monitoring Based on Pumped Storage Hydropower Operation Signature
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866910509772570624 |
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| author | Li, Hongyu Chen, Chang Baldwin, Mark You, Shutang Yu, Wenpeng Zhu, Lin Liu, Yilu |
| author_facet | Li, Hongyu Chen, Chang Baldwin, Mark You, Shutang Yu, Wenpeng Zhu, Lin Liu, Yilu |
| contents | This paper proposes a practical method to monitor power system inertia using Pumped Storage Hydropower (PSH) switching-off events. This approach offers real-time system-level inertia estimation with minimal expenses, no disruption, and the inclusion of behind-the-meter inertia. First, accurate inertia estimation is achieved through improved RoCoF calculation that accounts for pre-event RoCoF, reducing common random frequency fluctuations in practice. Second, PSH field data is analyzed, highlighting the benefits of using switching-off events for grid inertia estimation. Third, an event detection trigger is designed to capture pump switching-off events based on local and system features. Fourth, the method is validated on the U.S. Eastern Interconnection model with over 60,000 buses, demonstrating very high accuracy (3%-5% error rate). Finally, it is applied to the U.S. Western Interconnection, with field validation showing a 9.9% average absolute error rate. Despite challenges in practical power system inertia estimation, this method enhances decision-making for power grid reliability and efficiency, addressing challenges posed by renewable energy integration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_19627 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Practical Power System Inertia Monitoring Based on Pumped Storage Hydropower Operation Signature Li, Hongyu Chen, Chang Baldwin, Mark You, Shutang Yu, Wenpeng Zhu, Lin Liu, Yilu Systems and Control This paper proposes a practical method to monitor power system inertia using Pumped Storage Hydropower (PSH) switching-off events. This approach offers real-time system-level inertia estimation with minimal expenses, no disruption, and the inclusion of behind-the-meter inertia. First, accurate inertia estimation is achieved through improved RoCoF calculation that accounts for pre-event RoCoF, reducing common random frequency fluctuations in practice. Second, PSH field data is analyzed, highlighting the benefits of using switching-off events for grid inertia estimation. Third, an event detection trigger is designed to capture pump switching-off events based on local and system features. Fourth, the method is validated on the U.S. Eastern Interconnection model with over 60,000 buses, demonstrating very high accuracy (3%-5% error rate). Finally, it is applied to the U.S. Western Interconnection, with field validation showing a 9.9% average absolute error rate. Despite challenges in practical power system inertia estimation, this method enhances decision-making for power grid reliability and efficiency, addressing challenges posed by renewable energy integration. |
| title | Practical Power System Inertia Monitoring Based on Pumped Storage Hydropower Operation Signature |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2406.19627 |