A PARAMETER TUNING FOR DYNAMIC SIMULATION OF POWER-PLANTS USING GENETIC ALGORITHMS

被引：4

作者：

MIYAMOTO, Y

MIYATAKE, T

KUROSAKA, S

MORI, Y

机构：

[1] KAWASAKI HEAVY IND CO LTD,BOILER PLANT DIV,DEPT ELECT & CONTROL SYST,ENGN SECT,KAWASAKI,JAPAN

[2] KAWASAKI HEAVY IND CO LTD,ENVIRONM CONTROL PLANT DIV,DEPT CONTROL & SYST ENGN,KAWASAKI,JAPAN

来源：

ELECTRICAL ENGINEERING IN JAPAN | 1995年 / 115卷 / 01期

关键词：

GENETIC ALGORITHMS; DYNAMIC MODEL; PARAMETER TUNING; SIMULATION; POWER PLANT;

D O I：

10.1002/eej.4391150110

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper reports a method of dynamic simulation parameter tuning for a coal-fired power plant using genetic algorithms (GA). GA is a search algorithm based on the mechanics of natural selection and natural genetics. GA also is one of the effective methods for optimization problems and it requires a formalization of problems and a fitness function definition. Because the dynamic simulation can be repeated and the error between real data and simulation results is defined by a fitness function, it is reasonable to consider genetic operations. To satisfy environmental laws and regulations, the control of NO(x) emission is important for the operation of power plants. Therefore, an NO(x) analytical model is designed and used for the dynamic simulation at the change of loads, the kind of coal, and so on. In this paper, the optimal parameters for the simulation are determined by GA.

引用

页码：104 / 115

页数：12