A Critical Comparative observation on Automatic Generation Control of Thermal Power-CSP system using Firefly Algorithm based classical control
IR@CIMFR: CSIR-Central Institute of Mining and Fuel Research, Dhanbad
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| Title |
A Critical Comparative observation on Automatic Generation Control of Thermal Power-CSP system using Firefly Algorithm based classical control
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| Creator |
Basak, D.
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| Subject |
Electrical Testing
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| Description |
For all intents and purposes all power system is of multi-area in nature. Consequently investigation of multi-area power system is critical. Essential issues of multi-area power system are Automatic Generation Control (AGC) which controls the system frequency and Automatic Voltage Regulator (AVR) that keeps system voltage steady at evaluated esteem. This paper displays comparative study of an Automatic Generation Control plan for multi area power systems utilizing integrator, PID controller and optimization technique namely firefly algorithms (FA). For multi area simulation result are compared in MATLAB/SIMULINK. Automatic Generation Control (AGC) is a vital procedure that works continually to adjust the generation and load. PID controllers can be tuned by utilizing numerous techniques. In all strategies an underlying conjecture is made for PID controller parameter settings. At that point these parameter settings are enhanced by adjusting of the controller. Presently a day’s different simulation programming is generally utilized for this motivation behind parameter settings. Also the working of the controllers is simulated using MATLAB/SIMULINK for tuning of PID controller. To begin with this strategy is exhibited in point of interest for Automatic Voltage Regulator (AVR) of an isolated power system.
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| Date |
2016-03
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://cimfr.csircentral.net/1801/1/basak.pdf
Basak, D. (2016) A Critical Comparative observation on Automatic Generation Control of Thermal Power-CSP system using Firefly Algorithm based classical control. International Journal of Latest Trends in Engineering and Technology , 6 (4). pp. 378-386. ISSN 2278-621X |
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| Relation |
http://cimfr.csircentral.net/1801/
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