Abstract
We propose in this paper a distributed method to solve the security constrained optimal power flow problem (SCOPF) that considers not only contingencies on transmission lines but also on generators. With this aim, we extend the formulation of the SCOPF problem to consider the primary frequency response of generators as well as the short term constraints of generators and transmission lines. Then, we distribute the problem among different agents and we use a decentralized decision making algorithm, based on the Alternating Direction Method of Multipliers (ADMM), to optimize the grid power supply while being resilient to violations that would occur during contingencies. Finally, we validate the effectiveness of our approach on a simple test system.
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Notes
- 1.
Equation 13 is a projection on an hyperplane.
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Acknowledgments
Meritxell Vinyals would like to acknowledge the support of the European Union under the FP7 Grant Agreement no. 619682 (MAS2TERING project) and under the H2020 Grant Agreement no. 774431 (DRIVE project).
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Velay, M., Vinyals, M., Bésanger, Y., Retière, N. (2018). Agent-Based Security Constrained Optimal Power Flow with Primary Frequency Control. In: Belardinelli, F., Argente, E. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2017 2017. Lecture Notes in Computer Science(), vol 10767. Springer, Cham. https://doi.org/10.1007/978-3-030-01713-2_7
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