Fractional Order PID Design Using Big Bang-Big Crunch Algorithm and Order Reduction: Application to Load Frequency Control

Abstract-A new technique for tuning a fractional order proportional integral derivative (FOPID) controller is presented and analyzed for load frequency control of power systems. The proposed technique involves model order reduction for model simplification, internal model control for initial estimat...

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Bibliographic Details
Published in:Electric power components and systems 2022-02, Vol.49 (6-7), p.624-636
Main Authors: Jain, Shivam, Hote, Yogesh V., Saxena, Sahaj
Format: Article
Language:English
Subjects:
Algorithms
big bang-big crunch
Control systems design
controller design
Controllers
fractional order controller
fractional PID
Frequency control
integral squared error
internal model control
load frequency control
Mathematical models
Model reduction
optimization
Parameters
Performance indices
PID control
power systems
Proportional integral derivative
Soft computing
Solution space
Turbines
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Summary:Abstract-A new technique for tuning a fractional order proportional integral derivative (FOPID) controller is presented and analyzed for load frequency control of power systems. The proposed technique involves model order reduction for model simplification, internal model control for initial estimation of PID gains to formulate a compact solution space required for big bang-big crunch (BB-BC) algorithm, which ascertains optimal FOPID parameters in the search space delineated via IMC technique. The beauty of the proposed approach is that it gives an innovative way to incorporate soft computing algorithms in control applications in such a manner that leads to reduction in randomness associated with heuristic techniques. To validate the effectiveness of the proposed scheme, it is implemented on a power system comprising of reheated turbine and a realistic model of IEEE 10 machine 39 bus New England system in presence of nonlinearities. A comprehensive comparative analysis with other recent controller design techniques, conducted in terms of simulation plots, performance indices and statistical parameters is a testimony to efficacy of proposed technique.
ISSN:1532-5008
1532-5016
DOI:10.1080/15325008.2021.2011482