Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems

2015 ◽  
Vol 66 ◽  
pp. 67-77 ◽  
Author(s):  
A.K. Barisal
Keyword(s):  
Performance Analysis ◽  
Power Systems ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Comparative Performance ◽  
Source Power ◽  
Load Frequency ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Analysis Of Teaching

Load Frequency Control of Interconnected Power System Using Teaching Learning Based Optimization

2015 ◽  
Vol 4 (1) ◽  
pp. 102-117 ◽  
Author(s):  
Adhit Roy ◽  
Susanta Dutta ◽  
Provas Kumar Roy
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Thermal System ◽  
Interconnected System ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning

This paper presents the design and performance analysis of teaching learning based optimization (TLBO) algorithm based PID controller for load frequency control (LFC) of an interconnected power system. A two area reheat thermal system equipped with PID controllers which is widely used in literature is considered for the design and analysis purpose. The design objective is to improve the transient performance of the interconnected system. The power system dynamic performance is analyzed based on time response plots achieved with the implementation of designed optimal and sub-optimal LFC regulators in the wake of 1% load disturbance in one of the areas. The results of the TLBO optimized PID controllers on a two area reheat thermal system are compared with those of artificial bee colony (ABC) and differential evolution (DE) optimized PID controllers. The TLBO optimized controllers are found to be superior in terms of peak transient deviation, settling times, and dynamic oscillations.

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