Model of turbine optimal initial pressure under off-design operation based on SVR and GA

Authors:
Peifeng Niu;Weiping Zhang
Affiliations:
College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China and Qinhuangdao Institute of Technology, Qinhuangdao 066100, China
Venue:
Neurocomputing
Year:
2012

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Abstract

Ascertaining real time optimal initial pressure has important significance to safeguard the economic, efficient and safe operation of turbine units. In this paper, a new calculation model of the optimal initial pressure under off-design conditions has been put forward. Support Vector Regression (SVR) is used to build the model of heat rate and the optimal selection approach of SVR parameters is discussed. Heat rate is chosen as the fitness function, and then Genetic Algorithm (GA) is applied to seek the optimal initial pressure within the feasible pressure range depend on its global optimal search capability. The obtained optimal initial pressure can effectually guide the economical operation of turbine unit.