TLBO Algorithm Optimized Fractional-Order PID Controller for AGC of Interconnected Power System View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2019

AUTHORS

Tulasichandra Sekhar Gorripotu , Halini Samalla , Ch. Jagan Mohana Rao , Ahmad Taher Azar , Danilo Pelusi

ABSTRACT

The present study focuses on the problem of automatic generation control (AGC) by employing the design of fractional-order proportional–integral–derivative controller (FOPID). A hydrothermal power system with governor dead band (GDB) and generation rate constraint (GRC) is considered for investigation. FOPID controller optimal values are obtained by using teacher learning-based optimization (TLBO) technique, and the employed objective function is integral time-multiplied absolute error (ITAE). The supremacy of the proposed controller is also shown by comparing with PID controller. Further, the performance of the system is analyzed by varying parameter values of the system. From the simulation results, it reveals that TLBO optimized FOPID controller minimizes the errors in frequency of the control areas and tie-line power effectively. More... »

PAGES

847-855

Book

TITLE

Soft Computing in Data Analytics

ISBN

978-981-13-0513-9
978-981-13-0514-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-13-0514-6_80

DOI

http://dx.doi.org/10.1007/978-981-13-0514-6_80

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106269510


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