Actual Dynamic Performance of Thermal Power Plants with Various Designs and Control Systems

1992 ◽  
Vol 25 (1) ◽  
pp. 147-152 ◽  
Author(s):  
F.H. Conradie ◽  
H. Kürten
2010 ◽  
Vol 1 (08) ◽  
pp. 232-236 ◽  
Author(s):  
J. Gall ◽  
D. Abel ◽  
N. Ahlbrink ◽  
R. Pitz-Paal ◽  
J. Andersson ◽  
...  

2019 ◽  
Vol 7 (1) ◽  
pp. 105-128 ◽  
Author(s):  
Jitendra Kumar Garg ◽  
Anita Khosla ◽  
Nizamuddin Hakimuddin

This paper presents an application of optimal control theory in multi sources power system by considering natural choice of power plants participating in automatic generation control (AGC) scheme. However, for successful operation of large power system, the natural choices of generation suitable for AGC system are hydro and thermal power plants since gas and nuclear power plants are rarely participates in the AGC scheme. Therefore, this work presents design and implementation of proportional integral (PI) structured optimal AGC controller in the presence of hydro and thermal power plants by using state vector feedback control theory. Moreover, various case studies are identified to obtain: (i) Cost aspects of physical realization of optimal AGC controller, (ii) Closed loop system stability margin through patterns of eigenvalues and (iii) System dynamic performance. Further, results have shown that when optimal AGC scheme is implemented in power system, the dynamic performance of power system is outstanding over those obtained with genetic algorithms (GAs) tuned PI structured AGC controller. Besides, with optimal AGC controller, cheaper cost of control structure, increased in system closed loop stability margin and outstanding dynamic performance of power system have been found when lessening in hydro generation is replaced by generation from thermal power plants for various case studies under investigation.


Author(s):  
M.N. Narakesari ◽  
V.S. Dorai ◽  
Indu Narasimhan ◽  
M. Venkatram

2012 ◽  
Vol 16 (3) ◽  
pp. 759-772 ◽  
Author(s):  
Robert Mikulandric ◽  
Drazen Loncar ◽  
Dejan Cvetinovic ◽  
Gabriel Spiridon ◽  
Daniel Schneider

The necessity of the reduction of greenhouse gas emissions, as formulated in the Kyoto Protocol, imposes the need for improving environmental aspects of existing thermal power plants operation. Improvements can be reached either by efficiency increment or by implementation of emission reduction measures. Investments in refurbishment of existing plant components or in plant upgrading by flue gas desulphurization, by primary and secondary measures of nitrogen oxides reduction, or by biomass co-firing, are usually accompanied by modernisation of thermal power plant instrumentation and control system including sensors, equipment diagnostics and advanced controls. Impact of advanced control solutions implementation depends on technical characteristics and status of existing instrumentation and control systems as well as on design characteristics and actual conditions of installed plant components. Evaluation of adequacy of implementation of advanced control concepts is especially important in Western Balkan region where thermal power plants portfolio is rather diversified in terms of size, type and commissioning year and where generally poor maintenance and lack of investments in power generation sector resulted in high greenhouse gases emissions and low efficiency of plants in operation. This paper is intended to present possibilities of implementation of advanced control concepts, and particularly those based on artificial intelligence, in selected thermal power plants in order to increase plant efficiency and to lower pollutants emissions and to comply with environmental quality standards prescribed in large combustion plant directive.


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