Research and Application of Fast and Elitist Non-Dominated Sorting Generic Algorithm in Coal Blending Optimization

In view of coal blending optimization in thermal power plants, a multi-objective coal blending optimization model is proposed. The model uses coal quality indexes as constraint condition to construct three objective functions of economy, environmental protection and safety. The fast and elitist non-...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 384; no. 1; pp. 12176 - 12182
Main Authors Wang, Yibo, Hu, Qinghe
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.11.2019
Subjects
Algorithms
Blending effects
Coal
Constraint modelling
Elitism
Environmental protection
Multiple objective analysis
Optimization
Power plants
Sorting algorithms
Technical services
Thermal power
Thermal power plants
Thermoelectricity
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Summary:In view of coal blending optimization in thermal power plants, a multi-objective coal blending optimization model is proposed. The model uses coal quality indexes as constraint condition to construct three objective functions of economy, environmental protection and safety. The fast and elitist non-dominated sorting generic algorithm is used as the algorithm of solving the model. Combined with actual coal blending problem in domestic thermal power plants, the Pareto solution set is obtained. Results of example show that the algorithm has a good optimization effect and provides effective technical support for actual coal blending technology.
ISSN:1755-1307
1755-1315
1755-1315
DOI:10.1088/1755-1315/384/1/012176