Abstract
This article presents an elementary and efficient nature inspired optimization technique namely African vulture optimization algorithm (AVOA) to solve economic load dispatch problems. To make it more cost-effective, wind turbines have been incorporated with the existing thermal generating plants. The stochastic behaviour of wind is considered here. AVOA has been implemented for single objective fuel cost minimization. For demonstrating suitability and scalability of this proposed approach in case of large-scale and real world scenerio, it has been tested against IEEE 6-bus, IEEE 40-bus and IEEE 140-bus network and the outcomes are analyzed against results found by other heuristic approaches that were being used recently. The results clearly shows the potential AVOA has in achieving optimal solution.
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Mandal, P., Sanimul, S., Mandal, B., Roy, P.K. (2024). Economic Load Dispatch Problem Using African Vulture Optimization Algorithm (AVOA) in Thermal Power Plant with Wind Energy. In: Dasgupta, K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2023. Communications in Computer and Information Science, vol 1955. Springer, Cham. https://doi.org/10.1007/978-3-031-48876-4_9
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