Abstract
A crucial in power system operation and optimization is called Economic load dispatch (ELD) to reduce the overall cost of generation while satisfying several operational restrictions. This study suggests an enhanced Cuckoo Search Algorithm (ECSA) to address the ELD issue. The brood parasitism of several cuckoo species inspired the classic CSA, a nature-inspired optimization algorithm. The proposed changes will enhance the algorithm’s performance regarding convergence rate, solution quality, and robustness. The ECSA integrates cutting-edge techniques like dynamic parameter control, adaptive step sizes, and local search methods. Using standard ELD test systems, the effectiveness and efficiency of the proposed method are confirmed, and the outcomes are contrasted with those of other optimization algorithms described in the literature. The experimental findings show that the ECSA is superior in convergence rate, solution quality, and robustness, making it a potential strategy for resolving the ELD issue in power systems.
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Pan, JS., Nguyen, TT., Nguyen, TD., Nguyen, TXH., Dao, TK. (2024). An Optimal Power System Operation Planning Based on Enhanced Cuckoo Search Algorithm. In: Lin, J.CW., Shieh, CS., Horng, MF., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2023. Lecture Notes in Electrical Engineering, vol 1145. Springer, Singapore. https://doi.org/10.1007/978-981-97-0068-4_50
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DOI: https://doi.org/10.1007/978-981-97-0068-4_50
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