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International Journal of Electrical and Computer Engineering (IJECE)International Journal of Electrical and Computer Engineering (IJECE)

This paper presents a new approach for solving economic dispatch (ED) problem with valve-point effect using a modified artificial bee colony (MABC) algorithm. Artificial bee colony algorithm is a recent population-based optimization method which has been successfully used in many complex problems. This paper proposes a novel best mechanism algorithm based on a modified ABC algorithm, in which a new mutation strategy inspired from the differential evolution (DE) is introduced in order to improve the exploitation process. To demonstrate the effectiveness of the proposed method, the numerical studies have been performed for two different sample systems. The results of the proposed method are compared with other techniques reported in recent literature. The results clearly show that the proposed MABC algorithm outperforms other state-of-the-art algorithms in solving ED problem with the valve-point effect.

The proposed MABC algorithm demonstrates superior performance in solving the non-smooth economic dispatch problem with valve-point effects.The algorithm utilizes a novel mutation strategy inspired by differential evolution to enhance the exploitation process and avoid local optima.Comparative results with other methods on both 6-unit and 13-unit test systems confirm the effectiveness of the proposed approach in minimizing generation costs while satisfying system constraints.

Penelitian lebih lanjut dapat dilakukan dengan memperluas penerapan algoritma ABC yang dimodifikasi ini untuk menangani masalah economic dispatch yang lebih kompleks, seperti mempertimbangkan efek bahan bakar ganda dan zona operasi terlarang pada pembangkit listrik. Selain itu, studi komparatif yang lebih mendalam dapat dilakukan dengan membandingkan kinerja algoritma ini dengan metode optimasi terkini lainnya, termasuk algoritma hibrida yang menggabungkan keunggulan dari berbagai teknik optimasi. Terakhir, penelitian dapat difokuskan pada pengembangan strategi adaptif untuk parameter algoritma ABC yang dimodifikasi, sehingga dapat secara otomatis menyesuaikan diri dengan karakteristik sistem tenaga yang berbeda dan meningkatkan efisiensi serta keandalan solusi yang dihasilkan.

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