Sensitivity analysis of GA parameters for ECED problem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

To meet the requirement of the regulations and to reduce the pollution to the targeted level, minimization of emission level has been added into the dispatch strategies of generators by formulating emission constrained economic dispatch (ECED). Besides the conventional method by using the Lagrange Multiplier several evolutionary computation techniques such as Genetic Algorithm, Particle Swarm Optimisation, Ant Colony and Differential Evolution have been gaining popularity in solving general economic dispatch problems due to their desirable characteristics such as non-gradient dependent and ability to search for global optima. The effectiveness of these stochastic search techniques however is heavily dependent on the genetic operators and their parameters. The paper presents the study on sensitivity analysis of the parameters of Genetic Algorithm (GA) for the ECED problem. The results discuss the range of parameters suitable to be employed for the optimization and compare the difference between conventional economic dispatch and the ECED solutions.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013
Pages256-260
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013 - Langkawi, Malaysia
Duration: 03 Jun 201304 Jun 2013

Other

Other2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013
CountryMalaysia
CityLangkawi
Period03/06/1304/06/13

Fingerprint

Sensitivity analysis
Genetic algorithms
Economics
Lagrange multipliers
Evolutionary algorithms
Particle swarm optimization (PSO)
Pollution

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Kamil, K., Muhamad Razali, N. M., & Teh, Y. Y. (2013). Sensitivity analysis of GA parameters for ECED problem. In Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013 (pp. 256-260). [6564553] https://doi.org/10.1109/PEOCO.2013.6564553
Kamil, Karmila ; Muhamad Razali, Noor Miza ; Teh, Y. Y. / Sensitivity analysis of GA parameters for ECED problem. Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013. 2013. pp. 256-260
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Kamil, K, Muhamad Razali, NM & Teh, YY 2013, Sensitivity analysis of GA parameters for ECED problem. in Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013., 6564553, pp. 256-260, 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013, Langkawi, Malaysia, 03/06/13. https://doi.org/10.1109/PEOCO.2013.6564553

Sensitivity analysis of GA parameters for ECED problem. / Kamil, Karmila; Muhamad Razali, Noor Miza; Teh, Y. Y.

Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013. 2013. p. 256-260 6564553.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kamil K, Muhamad Razali NM, Teh YY. Sensitivity analysis of GA parameters for ECED problem. In Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013. 2013. p. 256-260. 6564553 https://doi.org/10.1109/PEOCO.2013.6564553