Optimization of turbine cold-end system based on BP neural network and genetic algorithm

doi:10.1007/s11708-014-0335-5

Front. Energy

2014, Vol. 8

Issue (4) : 459-463 https://doi.org/10.1007/s11708-014-0335-5

RESEARCH ARTICLE

Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN(

),Danmei XIE,Yangheng XIONG,Hengliang ZHANG

School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China

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Abstract

The operation condition of the cold-end system of a steam turbine has a direct impact on the economy and security of the unit as it is an indispensible auxiliary system of the thermal power unit. Many factors influence the cold-end operation of a steam turbine; therefore, the operation mode needs to be optimized. The optimization analysis of a 1000 MW ultra-supercritical (USC) unit, the turbine cold-end system, was performed utilizing the back propagation (BP) neural network method with genetic algorithm (GA) optimization analysis. The optimized condenser pressure under different conditions was obtained, and it turned out that the optimized parameters were of significance to the performance and economic operation of the system.

Keywords optimization turbine cold-end system BP neural network genetic algorithm

Corresponding Author(s): Chang CHEN

Online First Date: 03 December 2014 Issue Date: 09 January 2015

Cite this article:

Chang CHEN,Danmei XIE,Yangheng XIONG, et al. Optimization of turbine cold-end system based on BP neural network and genetic algorithm[J]. Front. Energy, 2014, 8(4): 459-463.

URL:

https://academic.hep.com.cn/fie/EN/10.1007/s11708-014-0335-5
https://academic.hep.com.cn/fie/EN/Y2014/V8/I4/459

Fig.1 Structure of BP neural network

Tab.1 Training samples (part) and calibration samples of BP neural network

Fig.2 Trained BP neural network

Fig.3 Relative error of training and calibration samples

Fig.4 Fitness value and current best individual

(a) Best and mean fitness value; (b) current best individual

Tab.2 Optimal condenser pressure p_c,LP and p_c,HP under different conditions

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