XML FeedsStochastic economic emission load dispatch through a modified particle swarm optimization algorithm
By CostBenefit on Jul 3, 2008 | In General, Air, Energy, Climate Change GHG Carbon CO2, U.S., Academic Study/Journal Article, Regulatory Analysis, Computer Software/Database, Costs and Benefits | Send feedback »
Link: http://dx.doi.org/10.1016/j.epsr.2008.01.012
Abstract: Conventional economic load dispatch problem uses deterministic models, which are however not able to reflect some real situations in practical applications since certain inaccurate and uncertain factors are normally involved in system operations. Stochastic models are more suited to be used for investigating some of the power dispatch problems. In this paper, both deterministic and stochastic models are first formulated, and then an improved particle swarm optimization (PSO) method is developed to deal with the economic load dispatch while simultaneously considering the environmental impact. Comparative studies are carried out to examine the effectiveness of the proposed approach. First, a comparison is made between the proposed PSO approach and other approaches including weighted aggregation and evolutionary optimization. Then, based on the proposed PSO, the impacts of different problem formulations including stochastic and deterministic models on power dispatch results are investigated and analyzed.
Keywords: Stochastic economic emission load dispatch; Multi-objective optimization; Particle swarm optimization; Stochastic search and optimization
by Lingfeng Wang and Chanan Singh; both of Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, United States
Electric Power Systems Research via Elsevier Science Direct www.ScienceDirect.com
Volume 78, Issue 8; August, 2008; Pages 1466-1476
http://dx.doi.org/10.1016/j.epsr.2008.01.012
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