A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem
Recent trend of research is to hybridize two and more algorithms to obtain superior solution in the field of optimization problems. In this context, a new technique hybrid Particle Swarm Optimization (PSO)-Multi verse Optimizer (MVO) is exercised on some unconstraint benchmark test functions and the...
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| Format: | Article |
| Language: | English |
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Elsevier
2017-04-01
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| Series: | Engineering Science and Technology, an International Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S221509861630979X |
| _version_ | 1811200749741277184 |
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| author | Pradeep Jangir Siddharth A. Parmar Indrajit N. Trivedi R.H. Bhesdadiya |
| author_facet | Pradeep Jangir Siddharth A. Parmar Indrajit N. Trivedi R.H. Bhesdadiya |
| author_sort | Pradeep Jangir |
| collection | DOAJ |
| description | Recent trend of research is to hybridize two and more algorithms to obtain superior solution in the field of optimization problems. In this context, a new technique hybrid Particle Swarm Optimization (PSO)-Multi verse Optimizer (MVO) is exercised on some unconstraint benchmark test functions and the most common problem of the modern power system named Optimal Reactive Power Dispatch (ORPD) is optimized using the novel hybrid meta-heuristic optimization algorithm Particle Swarm Optimization-Multi Verse Optimizer (HPSO-MVO) method. Hybrid PSO-MVO is combination of PSO used for exploitation phase and MVO for exploration phase in uncertain environment. Position and Speed of particle is modernised according to location of universes in each iteration. The hybrid PSO-MVO method has a fast convergence rate due to use of roulette wheel selection method. For the ORPD solution, standard IEEE-30 bus test system is used. The hybrid PSO-MVO method is implemented to solve the proposed problem. The problems considered in the ORPD are fuel cost reduction, Voltage profile improvement, Voltage stability enhancement, Active power loss minimization and Reactive power loss minimization. The results obtained with hybrid PSO-MVO method is compared with other techniques such as Particle Swarm Optimization (PSO) and Multi Verse Optimizer (MVO). Analysis of competitive results obtained from HPSO-MVO validates its effectiveness compare to standard PSO and MVO algorithm. |
| first_indexed | 2024-04-12T02:08:56Z |
| format | Article |
| id | doaj.art-5e169f604735495490cb172726d89ba1 |
| institution | Directory Open Access Journal |
| issn | 2215-0986 |
| language | English |
| last_indexed | 2024-04-12T02:08:56Z |
| publishDate | 2017-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj.art-5e169f604735495490cb172726d89ba12022-12-22T03:52:27ZengElsevierEngineering Science and Technology, an International Journal2215-09862017-04-0120257058610.1016/j.jestch.2016.10.007A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problemPradeep Jangir0Siddharth A. Parmar1Indrajit N. Trivedi2R.H. Bhesdadiya3Department of Electrical Engineering, Lukhdhirji Engineering College, Morbi, Gujarat 363641, IndiaDepartment of Electrical Engineering, Lukhdhirji Engineering College, Morbi, Gujarat 363641, IndiaDepartment of Electrical Engineering, Government Engineering College, Gandhinagar, Gujarat 389001, IndiaDepartment of Electrical Engineering, Lukhdhirji Engineering College, Morbi, Gujarat 363641, IndiaRecent trend of research is to hybridize two and more algorithms to obtain superior solution in the field of optimization problems. In this context, a new technique hybrid Particle Swarm Optimization (PSO)-Multi verse Optimizer (MVO) is exercised on some unconstraint benchmark test functions and the most common problem of the modern power system named Optimal Reactive Power Dispatch (ORPD) is optimized using the novel hybrid meta-heuristic optimization algorithm Particle Swarm Optimization-Multi Verse Optimizer (HPSO-MVO) method. Hybrid PSO-MVO is combination of PSO used for exploitation phase and MVO for exploration phase in uncertain environment. Position and Speed of particle is modernised according to location of universes in each iteration. The hybrid PSO-MVO method has a fast convergence rate due to use of roulette wheel selection method. For the ORPD solution, standard IEEE-30 bus test system is used. The hybrid PSO-MVO method is implemented to solve the proposed problem. The problems considered in the ORPD are fuel cost reduction, Voltage profile improvement, Voltage stability enhancement, Active power loss minimization and Reactive power loss minimization. The results obtained with hybrid PSO-MVO method is compared with other techniques such as Particle Swarm Optimization (PSO) and Multi Verse Optimizer (MVO). Analysis of competitive results obtained from HPSO-MVO validates its effectiveness compare to standard PSO and MVO algorithm.http://www.sciencedirect.com/science/article/pii/S221509861630979XBenchmark functionOptimal Reactive Power DispatchVoltage stabilityPower systemHybrid PSO-MVOConstraints |
| spellingShingle | Pradeep Jangir Siddharth A. Parmar Indrajit N. Trivedi R.H. Bhesdadiya A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem Engineering Science and Technology, an International Journal Benchmark function Optimal Reactive Power Dispatch Voltage stability Power system Hybrid PSO-MVO Constraints |
| title | A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem |
| title_full | A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem |
| title_fullStr | A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem |
| title_full_unstemmed | A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem |
| title_short | A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem |
| title_sort | novel hybrid particle swarm optimizer with multi verse optimizer for global numerical optimization and optimal reactive power dispatch problem |
| topic | Benchmark function Optimal Reactive Power Dispatch Voltage stability Power system Hybrid PSO-MVO Constraints |
| url | http://www.sciencedirect.com/science/article/pii/S221509861630979X |
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