Optimal Load Dispatch of Gas Turbine Power Generation Units based on Multiple Population Genetic Algorithm

Hua Xiao, Cheng Yang, Jie Wu, Xiaoqian Ma

College of Electric Power, South China University of Technology, Guangzhou 510640, China.

DOI: 10.4236/eng.2013.51B036                

Abstract

In this paper, a multiple population genetic algorithm (MPGA) is proposed to solve the problem of optimal load dispatch of gas turbine generation units. By introducing multiple populations on the basis of Standard Genetic Algorithm (SGA), connecting each population through immigrant operator and preserving the best individuals of every generation through elite strategy, MPGA can enhance the efficiency in obtaining the global optimal solution. In this paper, MPGA is applied to optimize the load dispatch of 3×390MW gas turbine units. The results of MPGA calculation are compared with that of equal micro incremental method and AGC instruction. MPGA shows the best performance of optimization under different load conditions. The amount of saved gas consumption in the calculation is up to 2337.45m3N/h, which indicates that the load dispatch optimization of gas turbine units via MPGA approach can be effective.

Keywords

Gas turbine generation units; Load dispatch; MPGA; Optimization

Conflicts of Interest

The authors declare no conflicts of interest.

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