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Enhancing frequency regulation in Nuclear-Renewable hybrid energy systems through optimally configured FOPID controllers and adaptive pelican optimization algorithm

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Title Enhancing frequency regulation in Nuclear-Renewable hybrid energy systems through optimally configured FOPID controllers and adaptive pelican optimization algorithm
 
Creator Natarajan, Sivaraj Subramanian
Muthukumaran, Vijayakarthick
Santhanam, Sathishbabu
 
Subject Nuclear-Renewable Hybrid Energy Systems,
Fractional-order proportional-integral-derivative (FOPID) controllers
Adaptive Pelican Optimization Algorithm
System frequency
Stability
Micrgrid
 
Description 405-415
This study has explored the application of Fractional Order Proportional-Integrator-Derivative (FOPID) controllers
within Nuclear-Renewable Hybrid Energy Systems (N-RHES). N-R HES has played a pivotal role in the transition to
decarbonized energy systems, holding substantial promise for establishing sustainable, carbon-free energy infrastructure in
the near future. The investigation has focused on an N-R HES that incorporates diverse energy sources such as solar, wind,
nuclear, fuel cell systems, Battery Energy Storage Systems (BESS), and Flywheel Energy Storage Systems (FESS). To
achieve performance objectives, the study has employed various meta-heuristic algorithms, including the Genetic Algorithm
(GA), Particle Swarm Optimization (PSO), Pelican Optimization Algorithm (POA), and Adaptive POA (APOA), to
optimize the parameters of the FOPID controllers. Additionally, the research has introduced an enhanced version of the
conventional POA, incorporating a velocity computation strategy to enhance the tuning capabilities of FOPID controllers.
The results have indicated that optimally configured FOPID controllers effectively manage system frequency and ensure
stability within the examined N-R HES. The incorporation of the velocity computation strategy in the POA has contributed
to improved tuning performance for FOPID controllers. This study has highlighted the potential of advanced optimization
techniques for achieving superior control strategies for N-R HES.
 
Date 2024-09-24T09:35:25Z
2024-09-24T09:35:25Z
2024-09
 
Type Article
 
Identifier 0975-1017 (Online); 0971-4588 (Print)
http://nopr.niscpr.res.in/handle/123456789/64578
https://doi.org/10.56042/ijems.v31i3.7422
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source IJEMS Vol.31(3) June