TITLE:
Optimal Load Dispatch of Gas Turbine Power Generation Units based on Multiple Population Genetic Algorithm
AUTHORS:
Hua Xiao, Cheng Yang, Jie Wu, Xiaoqian Ma
KEYWORDS:
Gas turbine generation units; Load dispatch; MPGA; Optimization
JOURNAL NAME:
Engineering,
Vol.5 No.1B,
January
16,
2013
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.