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.
Highlights
The gas turbine centered gas-steam combined cycle with high thermal efficiency, low pollution discharge, short building time and advanced start-stop performances is well-accepted and fast-growing in electricity generation industry
Considering the importance of gas-fired generation in the field of energy, it is necessary to improve the efficiency of gas turbine power plants
Multiple population genetic algorithm is based on standard genetic algorithm and introduces multiple populations into optimal search process
Summary
The gas turbine centered gas-steam combined cycle with high thermal efficiency, low pollution discharge, short building time and advanced start-stop performances is well-accepted and fast-growing in electricity generation industry. In this situation, it is important to improve the efficiency of gas turbine power plants. Genetic algorithm has a fast development due to fewer limits and requirements for continuous or differentiable objective function [7] It shows of strong robustness characteristics, global optimization and parallel computing in solving nonlinear problem, which makes it widely applied in optimal operation of power system. A multiple population genetic algorithm is adopted to optimize the calculation of load dispatch of a gas-turbine plant in this paper [8,9,10], which shows a better find-best ability to solve the problem
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