Marine predators algorithm for solving single-objective optimal power flow

This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm (MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the widespread foraging strategy called the Levy walk and Brownian movements in ocean predators, including the optimal en...

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Bibliographic Details
Published in:PloS one 2021-08, Vol.16 (8), p.e0256050-e0256050
Main Authors: Islam, Mohammad Zohrul, Othman, Mohammad Lutfi, Abdul Wahab, Noor Izzri, Veerasamy, Veerapandiyan, Opu, Saifur Rahman, Inbamani, Abinaya, Annamalai, Vishalakshi
Format: Article
Language:English
Subjects:
Algorithms
Animals
Aquatic Organisms - physiology
Biology and Life Sciences
Brownian motion
Brownian movements
Computer and Information Sciences
Cost analysis
Ecology and Environmental Sciences
Electric Power Supplies - standards
Electric power transmission
Electricity
Energy development
Energy management systems
Energy research
Engineering
Engineering and Technology
Feeding Behavior
Foraging behavior
Genetic algorithms
Heuristic
Heuristic methods
Linear programming
Marine Biology
Mathematical optimization
Models, Biological
Movement
Optimization
Optimization algorithms
Optimization techniques
Physical Sciences
Power
Power flow
Predation (Biology)
Predators
Predatory Behavior
Prey
Reactive power
Research and Analysis Methods
Social Sciences
Supervision
Voltage
Voltage stability
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Summary:This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm (MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the widespread foraging strategy called the Levy walk and Brownian movements in ocean predators, including the optimal encounter rate policy in biological interaction among predators and prey which make the method to solve the real-world engineering problems of OPF. The OPF problem has been extensively used in power system operation, planning, and management over a long time. In this work, the MPA is analyzed to solve the single-objective OPF problem considering the fuel cost, real and reactive power loss, voltage deviation, and voltage stability enhancement index as objective functions. The proposed method is tested on IEEE 30-bus test system and the obtained results by the proposed method are compared with recent literature studies. The acquired results demonstrate that the proposed method is quite competitive among the nature-inspired optimization techniques reported in the literature.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0256050