The Improved of BFOA for Ensuring the Sustainable Economic Dispatch

Abstract:

This paper introduced a new heuristic method the Improved to Bacterial Foraging Optimization Algorithm or IBFO to provide minimize objective functions in Secured Environmental Economic Dispatch (SEED) problems. An optimization problem may involve the highly non linear, non convex and non differentiable tends the solutions observed from a multiple local minima. The limitation faced by conventional methods are being trapped at any this local minima and prevent to reach the global minima. For that reason, this approach IBFO is tested under IEEE 118 bus system to obtain the minimum total cost function with less emission involved. Additionally, the proposed optimization approach is compared to original Bacterial Foraging Optimization Algorithm (BFO). As a result, all findings supported the novel IBFO as the competent and reliable technique.

• Periodical: Applied Mechanics and Materials (Volume 785)
• Pages: 83-87
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.785.83
• Online since: August 2015
• Authors: Elia Erwani Hassan*, Titik Khawa Abdul Rahman, Zuhaina Zakaria, Nazrulazhar Bahaman
• Keywords: Bacterial Foraging Optimization Algorithm, Improved Bacterial Foraging Optimization Algorithm, Secured Environmental Economic Dispatch, Total Cost, Total Emission

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