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Multi-objectives for TCSC Placement Using Self-adaptive Firefly Algorithm

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Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications

Abstract

This paper examines multi-objectives for power system performance improvement through the placement of Thyristor Controlled Series Compensator (TCSC) with the application of Self-Adaptive Firefly Algorithm (SAFA). The SAFA selects the best positions and parameters for TCSC placement. Three single objectives of real power loss (Ploss) minimization, improvement of voltage profile (VP), enhancement of voltage stability (VS) and one multi-objective of Ploss, minimization, simultaneously improve the VP besides enhancing the VS, are considered. The proposed SAFA approach is performed on IEEE 30 bus system, and the simulation solutions are conferred to validate the effectiveness of the proposed SAFA.

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Ranganathan, S., Venugopal, E., Kannan, C. (2022). Multi-objectives for TCSC Placement Using Self-adaptive Firefly Algorithm. In: Mathur, G., Bundele, M., Lalwani, M., Paprzycki, M. (eds) Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6332-1_41

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