Emission constrained economic dispatch by using stochastic optimisers

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

Abstract

The main objective to solve an emission constrained economic dispatch (ECED) problem is to simultaneously minimize the total cost of generation and the total emission level; whereby the latter is equated in terms of as emission cost. The conventional method (CM) by using the Lagrange Multiplier has some limitations such as lack of flexibility and accuracy due to the need of simplification of the problem before solving it and the solution generated may not be the best since it may be limited to local minima instead of global minima. The paper presents the solutions for ECED problem by using two stochastic optimisers; the Genetic Algorithm (GA) and Particle Swarm Optimizer (PSO). The results demonstrate the efficiency and effectiveness of using GA and PSO to solve the ECED problem compared to CM.

Original languageEnglish
Title of host publicationProceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013
Pages93-99
Number of pages7
DOIs
Publication statusPublished - 12 Jul 2013
Event6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013 - Phuket, Thailand
Duration: 10 Apr 201312 Apr 2013

Publication series

NameProceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013

Other

Other6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013
CountryThailand
CityPhuket
Period10/04/1312/04/13

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All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Razali, N. M. M., & Teh, Y. Y. (2013). Emission constrained economic dispatch by using stochastic optimisers. In Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013 (pp. 93-99). (Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013). https://doi.org/10.2316/P.2013.800-019