Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization Algorithm
Climate change, improved energy efficiency, and access to contemporary energy services are among the key topics investigated globally. The effect of these transitions has been amplified by increased digitization and digitalization, as well as the establishment of reliable information and communicati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/11/7/724 |
| _version_ | 1797588578418556928 |
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| author | Dimitris Mourtzis John Angelopoulos |
| author_facet | Dimitris Mourtzis John Angelopoulos |
| author_sort | Dimitris Mourtzis |
| collection | DOAJ |
| description | Climate change, improved energy efficiency, and access to contemporary energy services are among the key topics investigated globally. The effect of these transitions has been amplified by increased digitization and digitalization, as well as the establishment of reliable information and communication infrastructures, resulting in the creation of smart grids (SGs). A crucial aspect in optimizing energy production and distribution is reactive power optimization, which involves the utilization of algorithms such as particle swarm optimization (PSO). However, PSO algorithms can suffer from premature convergence and being trapped in local optima. Therefore, in this research the design and development of an improved PSO algorithm for minimization of power loss in the context of SGs is the key contribution. For digital experimentation and benchmarking of the proposed framework, the IEEE 30-bus standardized model is utilized, which has indicated that an improvement of approximately 11% compared to conventional PSO algorithms can be achieved. |
| first_indexed | 2024-03-11T00:54:02Z |
| format | Article |
| id | doaj.art-954585e011f14e2caeed43366d4798a6 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-11T00:54:02Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-954585e011f14e2caeed43366d4798a62023-11-18T20:12:38ZengMDPI AGMachines2075-17022023-07-0111772410.3390/machines11070724Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization AlgorithmDimitris Mourtzis0John Angelopoulos1Laboratory for Manufacturing Systems and Automation, Department of Mechanical and Aeronautics Engineering, University of Patras, 26504 Rio Patras, GreeceLaboratory for Manufacturing Systems and Automation, Department of Mechanical and Aeronautics Engineering, University of Patras, 26504 Rio Patras, GreeceClimate change, improved energy efficiency, and access to contemporary energy services are among the key topics investigated globally. The effect of these transitions has been amplified by increased digitization and digitalization, as well as the establishment of reliable information and communication infrastructures, resulting in the creation of smart grids (SGs). A crucial aspect in optimizing energy production and distribution is reactive power optimization, which involves the utilization of algorithms such as particle swarm optimization (PSO). However, PSO algorithms can suffer from premature convergence and being trapped in local optima. Therefore, in this research the design and development of an improved PSO algorithm for minimization of power loss in the context of SGs is the key contribution. For digital experimentation and benchmarking of the proposed framework, the IEEE 30-bus standardized model is utilized, which has indicated that an improvement of approximately 11% compared to conventional PSO algorithms can be achieved.https://www.mdpi.com/2075-1702/11/7/724industry 5.0optimizationpower controlsmart gridparticle swarm optimization |
| spellingShingle | Dimitris Mourtzis John Angelopoulos Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization Algorithm Machines industry 5.0 optimization power control smart grid particle swarm optimization |
| title | Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization Algorithm |
| title_full | Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization Algorithm |
| title_fullStr | Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization Algorithm |
| title_full_unstemmed | Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization Algorithm |
| title_short | Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization Algorithm |
| title_sort | reactive power optimization based on the application of an improved particle swarm optimization algorithm |
| topic | industry 5.0 optimization power control smart grid particle swarm optimization |
| url | https://www.mdpi.com/2075-1702/11/7/724 |
| work_keys_str_mv | AT dimitrismourtzis reactivepoweroptimizationbasedontheapplicationofanimprovedparticleswarmoptimizationalgorithm AT johnangelopoulos reactivepoweroptimizationbasedontheapplicationofanimprovedparticleswarmoptimizationalgorithm |