Differential Evolution Immunized Ant Colony Optimization Technique (DEIANT) in solving economic dispatch by considering prohibited operating zones

Nur Azzammudin Rahmat; I. Musirin; A. F. Abidin

doi:10.1109/PEOCO.2014.6814472

Differential Evolution Immunized Ant Colony Optimization Technique (DEIANT) in solving economic dispatch by considering prohibited operating zones

Nur Azzammudin Rahmat, I. Musirin, A. F. Abidin

Department of Electrical Power Engineering

Research output: Contribution to conference › Paper

1 Citation (Scopus)

Abstract

In energy industry, generating the correct amount of electrical power is crucial. Economic load dispatch is used to compute the necessary amount of power among the generators. However, each generator in a system is limited by its physical properties that will limit its maximum potential. This prohibited zone divides the actual operation limits of a particular generator into several subdivisions. This paper proposes Differential Evolution Immunized Ant Colony Optimization (DEAINT) technique in solving economic dispatch by considering prohibited operating zones. The optimization process was conducted on IEEE 30-Bus Reliable Test System (RTS). Verification of DEIANT technique was performed by comparing it with Evolutionary Programming (EP) and Ant Colony Optimization (ACO) technique. The comparative studies indicate that DEIANT outperformed EP and ACO in terms of achieving lower operating cost and power loss.

Original language	English
Pages	455-460
Number of pages	6
DOIs	https://doi.org/10.1109/PEOCO.2014.6814472
Publication status	Published - 01 Jan 2014
Event	2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014 - Langkawi, Malaysia Duration: 24 Mar 2014 → 25 Mar 2014

Other

Other	2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014
Country	Malaysia
City	Langkawi
Period	24/03/14 → 25/03/14

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Fuel Technology

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Rahmat, N. A., Musirin, I., & Abidin, A. F. (2014). Differential Evolution Immunized Ant Colony Optimization Technique (DEIANT) in solving economic dispatch by considering prohibited operating zones. 455-460. Paper presented at 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014, Langkawi, Malaysia. https://doi.org/10.1109/PEOCO.2014.6814472

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abstract = "In energy industry, generating the correct amount of electrical power is crucial. Economic load dispatch is used to compute the necessary amount of power among the generators. However, each generator in a system is limited by its physical properties that will limit its maximum potential. This prohibited zone divides the actual operation limits of a particular generator into several subdivisions. This paper proposes Differential Evolution Immunized Ant Colony Optimization (DEAINT) technique in solving economic dispatch by considering prohibited operating zones. The optimization process was conducted on IEEE 30-Bus Reliable Test System (RTS). Verification of DEIANT technique was performed by comparing it with Evolutionary Programming (EP) and Ant Colony Optimization (ACO) technique. The comparative studies indicate that DEIANT outperformed EP and ACO in terms of achieving lower operating cost and power loss.",

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Rahmat, NA, Musirin, I & Abidin, AF 2014, 'Differential Evolution Immunized Ant Colony Optimization Technique (DEIANT) in solving economic dispatch by considering prohibited operating zones', Paper presented at 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014, Langkawi, Malaysia, 24/03/14 - 25/03/14 pp. 455-460. https://doi.org/10.1109/PEOCO.2014.6814472

Differential Evolution Immunized Ant Colony Optimization Technique (DEIANT) in solving economic dispatch by considering prohibited operating zones. / Rahmat, Nur Azzammudin; Musirin, I.; Abidin, A. F.

2014. 455-460 Paper presented at 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014, Langkawi, Malaysia.

Research output: Contribution to conference › Paper

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