Using Hybrid Particle Swarm Optimization Based on the Generating Capacity Adjustment Mechanism to Solve Economic Dispatch Problems of Cogeneration Systems

作者：Chang Hong Chan^*; Lin Shang Chih; Kuo Cheng Chien; Chiang Chao Lung

来源：Journal of Circuits, Systems, and Computers, 2015, 24(4): 1550046.

DOI：10.1142/S0218126615500462

• Particle swarm optimization algorithm
• economic dispatch
• cogeneration system
• mutation factor
• disturbance mechanism
• generating capacity adjustment mechanism

This paper presents a computer technology called hybrid particle swarm optimization (HPSO) algorithm, to solve the economic dispatch (ED) problem of cogeneration systems. First outlined the status of the power system development and technical discussion, followed by test cases from the literature are used to evaluate the accuracy and validity of the algorithm. The HPSO algorithm combines genetic algorithm-specific mutation factor (MF) characteristics and the disturbance mechanism (DM), then used the exponential function to control the MF. A generating capacity adjustment mechanism (GCAM) is designed help the algorithm effectively identify the global optimum, effectively enhance the performance of the algorithm, the advantages of reducing computation time and the search range is reached.

• 出版日期2015-4
• 单位南开大学