Multi-Objective Profit Based Commitment and Dispatch of Cogeneration System Using Decision Making Strategy Approach

Abstract

Previous studies are focused on the cogeneration unit commitment problem (CUCP) to find optimum operating cost with satisfaction of operation constraints. However, the profit and environment emission are not considered, the obtained CUCP problem is not enough to address the multi-objective profit based CUCP (MO-PBCUCP). The goal is to find optimum heat and power generation schedule of cogeneration system to increase the profit and decrease environmental emissions simultaneously for Generation Companies. Therefore, the MO-PBCUCP has been solved to find schedule of cogeneration, conventional thermal power and heat units. The optimization technique such as continuous/binary particle swarm search algorithm and civilized swarm/successive approximation with decision making strategy approach is implemented to resolve mixed-integer MO-PBCUCP. These methods have been applied to cogeneration based test system, to verify the effectiveness of the optimization method. The implemented method optimizes the opportunities to make use of high profits and minimize emission. The obtained profit from civilized swarm and successive approximation is high as compared to continuous/binary particle swarm search algorithm and the emission is less.

Keywords:

• Civilized swarm optimization
• Decision making strategy
• Index Terms-Cogeneration based system
• Multi-objective Unit commitment
• Successive approximation optimization technique

Additional information

Notes on contributors

Himanshu Anand

Himanshu Anand received his BTech (Electrical Engineering) degree from the Govt SBSCET (Punjab Technical University), Punjab, India, in 2012, the ME (Power Systems) degree from the TIET, Patiala, Punjab, India, in 2014. He is pursing PhD (Power Systems) degree from the TIET, Patiala, Punjab, India. He is currently working as Sr. project engineer at IIT Kanpur, IME department. Corresponding author. E-mail: [email protected]

Nitin Narang

Nitin Narang is currently an associate professor in the Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering & Technology, Patiala. Dr Narang obtained his PhD in 2014. Dr Narang has about eighteen years of teaching experience. His current area of research interest is power system optimization. E-mail: [email protected]

J.S. Dhillon

J S Dhillon is currently professor in the Electrical and Instrumentation Engineering Department, Sant Longowal Institute of Engineering & Technology, Longowal. Dr Dhillon obtained his PhD in 1996 (Thapar Institute of Engineering & Technology). Prof Dhillon has more than thirty years of teaching experience and published more than 70 articles. His current area of research interest is power system optimization. E-mail: [email protected]