Cohesive meta-heuristic approach for solving combined economic and emission load dispatch

• Main Authors: Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Omar, Aliman
• Format: Conference or Workshop Item
• Language: English; English
• Published: Universiti Malaysia Pahang 2020
• Subjects: QA76 Computer software; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/28591/1/39.%20Cohesive%20meta-heuristic%20approach%20for%20solving%20combined.pdf; http://umpir.ump.edu.my/id/eprint/28591/2/39.1%20Cohesive%20meta-heuristic%20approach%20for%20solving%20combined.pdf; http://umpir.ump.edu.my/id/eprint/28591/

This paper proposes a new approach of solving optimization problem especially in combined economic emission load dispatch (CEELD) called cohesive meta-heuristic. CEELD is one of the challenging power system operation problems which considering the minimization of cost of power generation as well as emission level simultaneously. These two objectives are contrary each other which is difficult to solve and for this paper, these two objectives are convert into a single objective by introducing weightage and cost penalty factor. Cohesive meta-heuristic on the other hand is the new terminology of cooperation of existing meta-heuristic algorithms to obtain a better solution. In order to show the effectiveness of proposed method, 40-units generators system will be utilized and compared with the other methods.