Solving Fuzzy Combined Economic Load–Emission Dispatch by Using Differential Evolution Immunized Ant Colony Optimization Technique

Abstract:

The fluctuating load demand with respect to time requires thorough analysis by the energy providers. Nowadays, the utilities need to include emission control during energy dispatch planning. The practically accurate economic dispatch solution is achieved by considering it as a dynamic or time-varying problem. Therefore, this research proposes Fuzzy Combined Economic Load-Emission Dispatch (Fz-CELED) to solve dynamic economic dispatch problem. Fuzzy Logic is used to predict the future load demand and fuel pricing. Moreover, this paper proposed the Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique to optimize Fz-CELED problem. The research was conducted on IEEE 57-Bus Systems. Comparative studies are also conducted among DEIANT, ACO and EP to assess their performance.

• Periodical: Applied Mechanics and Materials (Volume 785)
• Pages: 500-505
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.785.500
• Online since: August 2015
• Authors: Nur Azzammudin Rahmat*, Ismail Musirin, Ahmad Farid Abidin
• Keywords: Economic Load Dispatch, Emission Dispatch, Fuzzy Logic, Optimization Technique

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