Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization
The optimal reactive power dispatch (ORPD) problem represents a noncontinuous, nonlinear, highly constrained optimization problem that has recently attracted wide research investigation. This paper presents a new hybridization technique for solving the ORPD problem based on the integration of partic...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/12/2333 |
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| author | Tawfiq M. Aljohani Ahmed F. Ebrahim Osama Mohammed |
| author_facet | Tawfiq M. Aljohani Ahmed F. Ebrahim Osama Mohammed |
| author_sort | Tawfiq M. Aljohani |
| collection | DOAJ |
| description | The optimal reactive power dispatch (ORPD) problem represents a noncontinuous, nonlinear, highly constrained optimization problem that has recently attracted wide research investigation. This paper presents a new hybridization technique for solving the ORPD problem based on the integration of particle swarm optimization (PSO) with artificial physics optimization (APO). This hybridized algorithm is tested and verified on the IEEE 30, IEEE 57, and IEEE 118 bus test systems to solve both single and multiobjective ORPD problems, considering three main aspects. These aspects include active power loss minimization, voltage deviation minimization, and voltage stability improvement. The results prove that the algorithm is effective and displays great consistency and robustness in solving both the single and multiobjective functions while improving the convergence performance of the PSO. It also shows superiority when compared with results obtained from previously reported literature for solving the ORPD problem. |
| first_indexed | 2024-04-11T12:17:20Z |
| format | Article |
| id | doaj.art-b5eaf8c7f0c842b69ac497bfd39e9379 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:17:20Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b5eaf8c7f0c842b69ac497bfd39e93792022-12-22T04:24:12ZengMDPI AGEnergies1996-10732019-06-011212233310.3390/en12122333en12122333Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm OptimizationTawfiq M. Aljohani0Ahmed F. Ebrahim1Osama Mohammed2Energy Systems Research Laboratory, Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USAEnergy Systems Research Laboratory, Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USAEnergy Systems Research Laboratory, Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USAThe optimal reactive power dispatch (ORPD) problem represents a noncontinuous, nonlinear, highly constrained optimization problem that has recently attracted wide research investigation. This paper presents a new hybridization technique for solving the ORPD problem based on the integration of particle swarm optimization (PSO) with artificial physics optimization (APO). This hybridized algorithm is tested and verified on the IEEE 30, IEEE 57, and IEEE 118 bus test systems to solve both single and multiobjective ORPD problems, considering three main aspects. These aspects include active power loss minimization, voltage deviation minimization, and voltage stability improvement. The results prove that the algorithm is effective and displays great consistency and robustness in solving both the single and multiobjective functions while improving the convergence performance of the PSO. It also shows superiority when compared with results obtained from previously reported literature for solving the ORPD problem.https://www.mdpi.com/1996-1073/12/12/2333optimal reactive power dispatch (ORPD)optimal power flow (OPF)particle swarm optimization (PSO)artificial physics optimization (APO)power loss minimizationvoltage deviation minimizationvoltage stability improvementL-Index |
| spellingShingle | Tawfiq M. Aljohani Ahmed F. Ebrahim Osama Mohammed Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization Energies optimal reactive power dispatch (ORPD) optimal power flow (OPF) particle swarm optimization (PSO) artificial physics optimization (APO) power loss minimization voltage deviation minimization voltage stability improvement L-Index |
| title | Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization |
| title_full | Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization |
| title_fullStr | Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization |
| title_full_unstemmed | Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization |
| title_short | Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization |
| title_sort | single and multiobjective optimal reactive power dispatch based on hybrid artificial physics particle swarm optimization |
| topic | optimal reactive power dispatch (ORPD) optimal power flow (OPF) particle swarm optimization (PSO) artificial physics optimization (APO) power loss minimization voltage deviation minimization voltage stability improvement L-Index |
| url | https://www.mdpi.com/1996-1073/12/12/2333 |
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