Optimal Control of Thermal Power Plants

1989 ◽  
Vol 111 (3) ◽  
pp. 511-520 ◽  
Author(s):  
H. Nakamura ◽  
Y. Toyota ◽  
M. Kushihashi ◽  
M. Uchida

Application of optimal control system to thermal power plants is introduced. The suggested system consists of the conventional PID controllers and the control computer. It has been successfully applied to five supercritical power plants in Kyushu Electric Power Company (Total output 2,700 MW) since 1978. In the system, system identification or state space representation of the plant is performed based on the AR (Autoregressive) model describing the system dynamics. The optimal controller is designed by the orthodox Dynamic Programming procedure under a quadratic criterion function. In the paper, the procedure of the controller design and the control performance of the system are described with some results obtained both in a power plant simulation model and in the actual plants.

2006 ◽  
Vol 3 (1) ◽  
pp. 37
Author(s):  
Razidah Ismail

The state space modeling approach was developed to cope with the demand and performance due to the increase in system complexity, which may have multiple inputs and multiple outputs (MIMO). This approach is based on time-domain analysis and synthesis using state variables. This paper describes the development of a state space representation of a furnace system of a combined cycle power plant. Power plants will need to operate optimally so as to stay competitive, as even a small improvement in energy efficiency would involve substantial cost savings. Both the quantitative and qualitative analyses of the state space representation of the furnace system are discussed. These include the responses of systems excited by certain inputs and the structural properties of the system. The analysis on the furnace system showed that the system is bounded input and bounded output stable, controllable and observable. In practice, the state space formulation is very important for numerical computation and controller design, and can be extended for time-varying systems.


2006 ◽  
Vol 3 (1) ◽  
pp. 37 ◽  
Author(s):  
Razidah Ismail

The state space modeling approach was developed to cope with the demand and performance due to the increase in system complexity, which may have multiple inputs and multiple outputs (MIMO). This approach is based on time-domain analysis and synthesis using state variables. This paper describes the development of a state space representation of a furnace system of a combined cycle power plant. Power plants will need to operate optimally so as to stay competitive, as even a small improvement in energy efficiency would involve substantial cost savings. Both the quantitative and qualitative analyses of the state space representation of the furnace system are discussed. These include the responses of systems excited by certain inputs and the structural properties of the system. The analysis on the furnace system showed that the system is bounded input and bounded output stable, controllable and observable. In practice, the state space formulation is very important for numerical computation and controller design, and can be extended for time-varying systems.


Author(s):  
Leila Behnia ◽  
Rohullah Bayat Ph.D.

The electricity industry has an important role in the economic growth and industrial dynamics in all countries. However, it is one of the main sources of environmental pollutants as well. Hence, environmental experts are always trying to reduce the amount of pollutants. This study aims to realize the relations between environmental capabilities and environmental strategies with environmental, financial and operational performances. Accordingly, questionnaires, by 39 questions, distributed among 103 participants, including environmental experts of the thermal power plants and thermal power company. Among 103 questionnaires, 70 qualified questionnaires were collected. The reliability of questioners was tested by Cronbach alpha criterion and the amount of this criterion (0.845) verified the reliability of the questionnaire. Also, the validity of the questionnaire confirmed through the Fornell and Locker methods and other factors. For testing the hypotheses of research, the method of structural equation modelling analysis was used. The empirical results show that: 1. The environmental capabilities have a positive impact on environmental strategies 2. The environmental strategies have positive impacts on financial, operational and environmental performances 3. The environmental capabilities can have positive effects on environmental, financial and operational performance through environmental strategies. These results confirm that focusing on environmental issues of thermal power plant activities, not only improve environmental performance, but also improve their operational and financial performances.


2007 ◽  
Vol 22 (3) ◽  
pp. 680-688 ◽  
Author(s):  
Chen-Fu Chien ◽  
Wen-Chih Chen ◽  
Feng-Yu Lo ◽  
Yi-Chiech Lin

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