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

Research output: Contribution to conferencePaper

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 languageEnglish
Pages455-460
Number of pages6
DOIs
Publication statusPublished - 01 Jan 2014
Event2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014 - Langkawi, Malaysia
Duration: 24 Mar 201425 Mar 2014

Other

Other2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014
CountryMalaysia
CityLangkawi
Period24/03/1425/03/14

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