A hybrid shuffled frog‐leaping and pattern search algorithm for load frequency controller design of a two‐area system composing of PV grid and thermal generator

The shuffled frog‐leaping algorithm (SFLA) is a nature‐inspired metaheuristic swarm‐based optimization algorithm, which mimics the social behavior of memetics. The SFLA comprises an arrangement of communicating virtual population of frogs divided into various memeplexes. Many attempts have been made...

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Bibliographic Details
Published in:International journal of numerical modelling Vol. 33; no. 1
Main Authors: Khadanga, Rajendra Kumar, Kumar, Amit, Panda, Sidhartha
Format: Journal Article
Language:English
Published: Bognor Regis Wiley Subscription Services, Inc 01.01.2020
Subjects:
Algorithms
automatic generation control (AGC)
Communication
Control systems design
Controllers
Electric power distribution
Frequency control
Frogs
Genetic algorithms
Heuristic methods
hybrid shuffled frog‐leaping and pattern search algorithm (hSFLA‐PS)
load frequency control (LFC)
maximum power point tracker (MPPT)
multiarea multisource power system
Optimization
Pattern search
Photovoltaic cells
PID controller
Proportional integral derivative
Search algorithms
Task complexity
ISSN:0894-3370, 1099-1204
Online Access:Get full text
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Summary:The shuffled frog‐leaping algorithm (SFLA) is a nature‐inspired metaheuristic swarm‐based optimization algorithm, which mimics the social behavior of memetics. The SFLA comprises an arrangement of communicating virtual population of frogs divided into various memeplexes. Many attempts have been made to find the variant of the SFLA that performs better on a variety of optimization tasks by making the original SFLA more complex. This paper proposes the hybrid approach by combining the SFLA algorithm with a pattern search algorithm, which improves the original technique named as the hybrid shuffled frog‐leaping and pattern search algorithm (hSFLA‐PS). The superiority of the proposed hybrid algorithm over the original SFLA in terms of implementation time and solution quality is compared by taking several benchmark test functions. In the next step, the real application of the proposed hybrid approach in the engineering field is done by designing a proportional‐integral‐derivative (PID) controller for frequency regulation of a two‐area power system that is composed of a photovoltaic (PV) grid and a thermal generator. It is observed that the hSFLA‐PS–based PID controller is more effective for the load frequency control compared with conventional controllers tuned with genetic algorithm (GA) and firefly algorithm (FA).
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ISSN:0894-3370
1099-1204
DOI:10.1002/jnm.2694