Economic Dispatch of Combined Heat and Power Systems using Particle Swarm Optimization
Sadek, S. (2023). Economic Dispatch of Combined Heat and Power Systems using Particle Swarm Optimization. EKB Journal Management System, 4(2), 100-109. doi: 10.21608/ijaebs.2023.164918.1049
Shady M. Sadek. "Economic Dispatch of Combined Heat and Power Systems using Particle Swarm Optimization". EKB Journal Management System, 4, 2, 2023, 100-109. doi: 10.21608/ijaebs.2023.164918.1049
Sadek, S. (2023). 'Economic Dispatch of Combined Heat and Power Systems using Particle Swarm Optimization', EKB Journal Management System, 4(2), pp. 100-109. doi: 10.21608/ijaebs.2023.164918.1049
Sadek, S. Economic Dispatch of Combined Heat and Power Systems using Particle Swarm Optimization. EKB Journal Management System, 2023; 4(2): 100-109. doi: 10.21608/ijaebs.2023.164918.1049

Economic Dispatch of Combined Heat and Power Systems using Particle Swarm Optimization

International Journal of Advanced Engineering and Business Sciences
Volume 4, Issue 2, June 2023, Page 100-109  XML PDF (550.42 K)
Document Type: Original Article
DOI: 10.21608/ijaebs.2023.164918.1049
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Author
Shady M. Sadek email
Electrical Power Engineering Department, International Academy for Engineering and Media Science, Cairo, Egypt
Abstract
Due to the limitations and high cost of fossil fuel energy sources, combined heat and power units (CHPs) are gaining more attention recently as they are more efficient and less pollutant than conventional sources. In order to use CHP units more efficiently, the economic dispatch problem (EDP) is applied to obtain the optimal power and heat sources’ outputs to satisfy heat and power demands while meeting the different operational constraints. The problem is nonlinear and non-convex which requires heuristic technique to be used to solve this complex problem. Particle Swarm Optimization (PSO) is utilized due to its effectiveness in solving complex problems with less number of iterations. The EDP main objective is to obtain optimal
output power and heat of each unit while the total generation cost is minimized. The obtained results justify the superiority of the proposed method in solving such complicated problems.
Due to the limitations and high cost of fossil fuel energy sources, combined heat and power units (CHPs) are gaining more attention recently as they are more efficient and less pollutant than conventional sources. In order to use CHP units more efficiently, the economic dispatch problem (EDP) is applied to obtain the optimal power and heat sources’ outputs to satisfy heat and power demands while meeting the different operational constraints.
Keywords
Economic Dispatch; Combined Heat; Power Systems; Particle Swarm Optimization
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