Impact of parameter control on the performance of APSO and PSO algorithms for the CSTHTS problem: An improvement in algorithmic structure and results

• Published in: PloS one Vol. 16; no. 12; p. e0261562
• Main Authors: Iqbal, Muhammad Ahmad, Fakhar, Muhammad Salman, Kashif, Syed Abdul Rahman, Naeem, Rehan, Rasool, Akhtar
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 17.12.2021; Public Library of Science (PLoS)
• Subjects: Algorithms; Analysis; Biology and Life Sciences; Cost function; Electrical engineering; Energy-Generating Resources; Engineering and Technology; Genetic algorithms; Heuristic methods; Humans; Mathematical optimization; Optimization; Physical Sciences; Power Plants; Research and Analysis Methods; Scheduling; Social Sciences; Pakistan; Punjab Pakistan; Lahore Pakistan
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0261562

Cascaded Short Term Hydro-Thermal Scheduling problem (CSTHTS) is a single objective, non-linear multi-modal or convex (depending upon the cost function of thermal generation) type of Short Term Hydro-Thermal Scheduling (STHTS), having complex hydel constraints. It has been solved by many metaheuristic optimization algorithms, as found in the literature. Recently, the authors have published the best-achieved results of the CSTHTS problem having quadratic fuel cost function of thermal generation using an improved variant of the Accelerated PSO (APSO) algorithm, as compared to the other previously implemented algorithms. This article discusses and presents further improvement in the results obtained by both improved variants of APSO and PSO algorithms, implemented on the CSTHTS problem.