Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm
The optimal placement of distributed generation (DG) is a critical task for distribution companies in order to keep the distribution network running smoothly. The optimal placement of DG units is an optimization problem. In this paper, minimization of the voltage deviation from flat voltage is consi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Clean Technologies |
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| Online Access: | https://www.mdpi.com/2571-8797/4/4/76 |
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| author | Gubbala Venkata Naga Lakshmi Askani Jaya Laxmi Venkataramana Veeramsetty Surender Reddy Salkuti |
| author_facet | Gubbala Venkata Naga Lakshmi Askani Jaya Laxmi Venkataramana Veeramsetty Surender Reddy Salkuti |
| author_sort | Gubbala Venkata Naga Lakshmi |
| collection | DOAJ |
| description | The optimal placement of distributed generation (DG) is a critical task for distribution companies in order to keep the distribution network running smoothly. The optimal placement of DG units is an optimization problem. In this paper, minimization of the voltage deviation from flat voltage is considered as an objective function. The self-adaptive Lévy flight-based Jaya algorithm is used as an optimization technique to determine the best location and size of distributed generation units. In the MATLAB environment, the proposed algorithm was implemented on IEEE 15 and PG and E 69 bus distribution systems. According to the simulation results, distribution networks can supply more quality power to customers by minimizing the voltage deviation from the flat voltage profile if the DG units are properly placed and sized. |
| first_indexed | 2024-03-09T17:11:34Z |
| format | Article |
| id | doaj.art-85fd3faed5a7479a96be06ea91df9b7a |
| institution | Directory Open Access Journal |
| issn | 2571-8797 |
| language | English |
| last_indexed | 2024-03-09T17:11:34Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Clean Technologies |
| spelling | doaj.art-85fd3faed5a7479a96be06ea91df9b7a2023-11-24T14:04:43ZengMDPI AGClean Technologies2571-87972022-11-01441242125410.3390/cleantechnol4040076Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya AlgorithmGubbala Venkata Naga Lakshmi0Askani Jaya Laxmi1Venkataramana Veeramsetty2Surender Reddy Salkuti3Department of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad 500007, IndiaDepartment of Electrical and Electronics Engineering, JNTU Hyderabad, Hyderabad 500085, IndiaCenter for AI and Deep Learning, Department of Electrical and Electronics Engineering, SR University, Warangal 506371, IndiaDepartment of Railroad and Electrical Engineering, Woosong University, Daejeon 34606, Republic of KoreaThe optimal placement of distributed generation (DG) is a critical task for distribution companies in order to keep the distribution network running smoothly. The optimal placement of DG units is an optimization problem. In this paper, minimization of the voltage deviation from flat voltage is considered as an objective function. The self-adaptive Lévy flight-based Jaya algorithm is used as an optimization technique to determine the best location and size of distributed generation units. In the MATLAB environment, the proposed algorithm was implemented on IEEE 15 and PG and E 69 bus distribution systems. According to the simulation results, distribution networks can supply more quality power to customers by minimizing the voltage deviation from the flat voltage profile if the DG units are properly placed and sized.https://www.mdpi.com/2571-8797/4/4/76distributed generationoptimal placementself-adaptive Lévy flight Jaya algorithmpower qualityvoltage deviation |
| spellingShingle | Gubbala Venkata Naga Lakshmi Askani Jaya Laxmi Venkataramana Veeramsetty Surender Reddy Salkuti Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm Clean Technologies distributed generation optimal placement self-adaptive Lévy flight Jaya algorithm power quality voltage deviation |
| title | Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm |
| title_full | Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm |
| title_fullStr | Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm |
| title_full_unstemmed | Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm |
| title_short | Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm |
| title_sort | optimal placement of distributed generation based on power quality improvement using self adaptive levy flight jaya algorithm |
| topic | distributed generation optimal placement self-adaptive Lévy flight Jaya algorithm power quality voltage deviation |
| url | https://www.mdpi.com/2571-8797/4/4/76 |
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