Citation :

S. Sakthivel Padaiyatchi, B. Muthuvel, R. Anand, T. Sengolrajan, R. Sivakumar, "Transmission Congestion Management by Rescheduling of Generation using an Enhanced Spider-Tailed Horned Viper Optimization Algorithm," International Journal of Electrical and Electronics Engineering, vol. 13, no. 7, pp. 168-186, 2026. Crossref, https://doi.org/10.14445/23488379/IJEEE-V13I7P110

Abstract

Transmission congestion in present-day heavily-loaded and deregulated power systems acts as a major bottleneck to economic power exchange and severely jeopardizes system reliability. Congestion management is part of maintaining market efficiency and system security. This paper describes an optimization technique for relieving transmission congestion through the optimal rescheduling or redispatch of active power generation. The problem is a nonlinear, constrained optimization aimed at minimizing the total cost of generation redispatch with strict adherence to the constraints of the system. Given the inherent high-dimensionality and complex constraints in power system optimization problems, a newly introduced efficient metaheuristic algorithm known as the Spider-Tailed Horned Viper Algorithm (STHVA) is used to discover the solution space for the global or near-global optimum. The basic version of the algorithm is enhanced as Levy Flight-based Spider-Tailed Horned Viper Algorithm (LESTHVA). The robust concert of the proposed method is tested on the IEEE 30-Bus test system and demonstrates its ability to quickly and efficiently relieve any line overload with minimal penalties in operational costs, thus setting up a practical framework for real-time system operation and resource utilization.

Keywords

Transmission Congestion Management, Generation Rescheduling, Spider-Tailed Horned Viper Optimization Algorithm, Power System Optimization, Deregulated Power System, Operational Cost Minimization.

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