Online Transient Stability Control Strategy Matching Method Based on Time-Varying Index of Power Grid

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Proceedings of the 7th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2022) (PMF 2022)

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Abstract

The strong uncertainty environment in which renewable energy is the main power grid has the possibility of sudden changes in power supply or topology, and there is a risk of mismatch of transient control strategies. Therefore, a fast evaluation method for online transient control strategy in strong uncertainty environment is proposed. First, based on the Extended Equal Area Criterion (EEAC), after the grid operation scenario changes rapidly, the difference in stability margin between different processing methods for grid time-varying factors is calculated to define the grid time-varying degree; Then, the key parameter matching index is established in combination with the key network characteristics of the power grid, which is matched with the examples in the historical database established offline, and the control measures are obtained according to the principle of conservatism; Finally, check and verify in the current grid mode, and send to the device for executing after the verification is passed. The simulation of the actual power grid online data shows that the proposed method can basically solve the situation that the online strategy is not suitable due to the rapid change of power flow or topology change in the power grid in a short time.

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Acknowledgment

This work is supported by Science and Technology Project from State Grid Corporation of China “Key Technologies and Application of Adaptive Emergency Control for Power Grid with Strong Uncertainty Environment”.

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Correspondence to Zhongqing Sun .

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Sun, Z., Liu, F., Xue, F., Li, Z., Li, W. (2023). Online Transient Stability Control Strategy Matching Method Based on Time-Varying Index of Power Grid. In: Xue, Y., Zheng, Y., Gómez-Expósito, A. (eds) Proceedings of the 7th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2022). PMF 2022. Springer, Singapore. https://doi.org/10.1007/978-981-99-0063-3_20

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  • DOI: https://doi.org/10.1007/978-981-99-0063-3_20

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  • Online ISBN: 978-981-99-0063-3

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