Application of Particle Swarm Optimization Technique to A Profit-Based Unit Commitment Problem
This paper aims at investigating the performance of a Particle Swarm Optimization (PSO) algorithm combined with Lagrange Relaxation (LR) method, called LR-PSO, so as to solve a profit-based Unit Commitment (UC) problem. For the proposed LR-PSO method, PSO is applied to update the Lagrange multipliers and is also incorporated into the LR method to improve its performance. In addition, the proposed approach also utilized the Gradient method to adjust another Lagrange multiplier. That will lead to increase in the searching potential. It can be concluded from the comparison of simulation results between the profitbased UC with and without Gradient method that the proposed LR-PSO method with Gradient method can achieve the optimum solution, while improving the convergence capability.
Profit-Based Unit Commitment Particle Swarm Optimization
Pichet Sriyanyong
Department of Teacher Training in Electrical Engineering, Faculty of Technical Education Thai-French Innovation Institute King Mongkuts University of Technology North Bangkok, Bangkok, Thailand
国际会议
上海
英文
160-166
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）