Environmental/economic power dispatch using a hybrid multi-objective optimization algorithm
By D. Gong, Yong Zhang, Cheng-liang Qi. 2010
196 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/9b87d2411b0a5cd827b7d512cae8181346a8e775
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In Computational Theory and Mathematics
In Electrical and Electronic Engineering
Citations in the corpus
- Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm (2012, background): “There are also some scholars who applied random optimization methods on the economic dispatch problem, such as Simulated Annealing (SA) [8–10], Genetic Algorithm (GA) [11–17], Evolutionary Programming (EP) [18,19], Evolutionary Strategy (ES) [20], Particle Swarm Optimization (PSO) [21–27], Ant Colon”
- A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads (2014, methodology): “The environmental load dispatch problem minimizes the emissions of environment pollutants including sulphur dioxide (SO2) and nitrogen oxides (NOx) [15].”