scholarly journals Automatic generation control of multi-area power systems with diverse energy sources using Teaching Learning Based Optimization algorithm

2016 ◽  
Vol 19 (1) ◽  
pp. 113-134 ◽  
Author(s):  
Rabindra Kumar Sahu ◽  
Tulasichandra Sekhar Gorripotu ◽  
Sidhartha Panda
2021 ◽  
Vol 10 (4) ◽  
pp. 1-26
Author(s):  
Ashwini Kumar ◽  
Omveer Singh

This paper reveals Automatic Generation Control (AGC) strategies of power systems including diverse type power generating sources and comprehensive literature review is also presented. These diverse type energy sources considered conventional power sources like thermal, diesel, nuclear, etc. and Renewable Energy Sources (RESs). RESs are solar energy, wind energy, hydro energy, etc. A variety of AGC schemes based on hard, soft and artificial intelligent computation techniques is presented here. The benefits and their limitations of these energy generating units are also taken in this article. In the present scenario, deregulation, smart micro-grid and grid concept is also utilized with interconnection of the considered energy generating sources. The literature of this review article fulfills the gap of recent and previous decades research work and provides future exploration in AGC techniques.


2021 ◽  
Vol 10 (4) ◽  
pp. 0-0

This paper reveals Automatic Generation Control (AGC) strategies of power systems including diverse type power generating sources and comprehensive literature review is also presented. These diverse type energy sources considered conventional power sources like thermal, diesel, nuclear, etc. and Renewable Energy Sources (RESs). RESs are solar energy, wind energy, hydro energy, etc. A variety of AGC schemes based on hard, soft and artificial intelligent computation techniques is presented here. The benefits and their limitations of these energy generating units are also taken in this article. In the present scenario, deregulation, smart micro-grid and grid concept is also utilized with interconnection of the considered energy generating sources. The literature of this review article fulfills the gap of recent and previous decades research work and provides future exploration in AGC techniques.


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