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

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

Adhit Roy, Susanta Dutta, Provas Kumar Roy
Copyright: © 2015 |Volume: 4 |Issue: 1 |Pages: 16
ISSN: 2160-9500|EISSN: 2160-9543|EISBN13: 9781466680272|DOI: 10.4018/ijeoe.2015010107
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MLA

Roy, Adhit, et al. "Load Frequency Control of Interconnected Power System Using Teaching Learning Based Optimization." IJEOE vol.4, no.1 2015: pp.102-117. http://doi.org/10.4018/ijeoe.2015010107

APA

Roy, A., Dutta, S., & Roy, P. K. (2015). Load Frequency Control of Interconnected Power System Using Teaching Learning Based Optimization. International Journal of Energy Optimization and Engineering (IJEOE), 4(1), 102-117. http://doi.org/10.4018/ijeoe.2015010107

Chicago

Roy, Adhit, Susanta Dutta, and Provas Kumar Roy. "Load Frequency Control of Interconnected Power System Using Teaching Learning Based Optimization," International Journal of Energy Optimization and Engineering (IJEOE) 4, no.1: 102-117. http://doi.org/10.4018/ijeoe.2015010107

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Abstract

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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