Energy storage configurations with multi-timescale flexibility resources

Jiahao Wang; Anjia Mao

doi:10.1117/12.2686170

28 July 2023 Energy storage configurations with multi-timescale flexibility resources

Jiahao Wang, Anjia Mao

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127561W (2023) https://doi.org/10.1117/12.2686170
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

The rapid development of renewable energy has effectively alleviated the problems of energy shortage and environmental pollution. At the same time, its randomness and volatility have increased the demand for flexible adjustment of power systems. The increasing proportion of renewable energy generation output exacerbates the risk of insufficient flexibility of the power system. In this context, this study quantifies the frequency support requirements of the power system, and establishes an energy storage configuration model considering flexible resources at multiple time scales, and uses gurobi as a solution tool to verify the model with the IEEE-39-bus system. Simulation result proves that the optimization model of energy storage allocation considering the flexibility of multi-time-scale resources can effectively improve the flexibility of the power system and meet the operational needs of the power system at various time scales.

Citation Download Citation

Jiahao Wang and Anjia Mao "Energy storage configurations with multi-timescale flexibility resources", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127561W (28 July 2023); https://doi.org/10.1117/12.2686170

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