Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems

• Published in: Applied soft computing Vol. 108; p. 107504
• Main Authors: Li, Ling-Ling, Liu, Zhi-Feng, Tseng, Ming-Lang, Zheng, Sheng-Jie, Lim, Ming K.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2021
• Subjects: Dynamic economic emission dispatch; Fuel cost; Improved tunicate swarm algorithm; Power system; Soft-computing; Power system; Improved tunicate swarm algorithm; Soft-computing; Fuel cost; Dynamic economic emission dispatch

This study proposes improved tunicate swarm algorithm (ITSA) for solving and optimizing the dynamic economic emission dispatch (DEED) problem. The DEED optimization target is to reduce the fuel cost and pollutant emission of the power system. In addition, DEED is a complex optimization problem and c...