Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network
The distribution system acts as a conduit between the consumer and the bulk power grid. Due to characteristics such as a high resistance/reactance ratio, distribution networks cannot be solved using conventional methods, such as the Gauss-Seidel and Newton–Raphson. This research proposes a method fo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2023-02-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/5496 |
| _version_ | 1811170926388051968 |
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| author | Mohamed Ali Zdiri Bilel Dhouib Zuhair Alaas Fatma Ben Salem Hsan Hadj Abdallah |
| author_facet | Mohamed Ali Zdiri Bilel Dhouib Zuhair Alaas Fatma Ben Salem Hsan Hadj Abdallah |
| author_sort | Mohamed Ali Zdiri |
| collection | DOAJ |
| description | The distribution system acts as a conduit between the consumer and the bulk power grid. Due to characteristics such as a high resistance/reactance ratio, distribution networks cannot be solved using conventional methods, such as the Gauss-Seidel and Newton–Raphson. This research proposes a method for the calculation of the power flow in radial networks that considers their wide range of resistance and reactance values, PV generator characteristics, and radial structure. An iterative methodology is employed, with each iteration beginning with the branch that has the highest accurate power flow solution. The procedure is reliable and effective over various workloads and network configurations. To confirm the effectiveness of the suggested technique on the simple and IEEE 33-bus radial distribution system, simulations were carried out in MATLAB. The implications of including a renewable energy source, such as a PV generator, in the network under consideration are investigated by simulation result comparison. The optimal location of the PV generator was also determined using an Artificial Neural Network (ANN) controller. The results of the identification process improve the already exceptional efficacy and performance of the ANN controller.
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| first_indexed | 2024-04-10T17:05:56Z |
| format | Article |
| id | doaj.art-275e78112f99472b9c9189ddffb658db |
| institution | Directory Open Access Journal |
| issn | 2241-4487 1792-8036 |
| language | English |
| last_indexed | 2024-04-10T17:05:56Z |
| publishDate | 2023-02-01 |
| publisher | D. G. Pylarinos |
| record_format | Article |
| series | Engineering, Technology & Applied Science Research |
| spelling | doaj.art-275e78112f99472b9c9189ddffb658db2023-02-06T05:00:19ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362023-02-0113110.48084/etasr.5496Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution NetworkMohamed Ali Zdiri0Bilel Dhouib1Zuhair Alaas2Fatma Ben Salem3Hsan Hadj Abdallah4CEM Laboratory, Engineering School of Sfax, TunisiaCEM Laboratory, Engineering School of Sfax, TunisiaDepartment of Electrical Engineering, Faculty of Engineering, Jazan University, Saudi ArabiaCEM Laboratory, Engineering School of Sfax, TunisiaCEM Laboratory, Engineering School of Sfax, TunisiaThe distribution system acts as a conduit between the consumer and the bulk power grid. Due to characteristics such as a high resistance/reactance ratio, distribution networks cannot be solved using conventional methods, such as the Gauss-Seidel and Newton–Raphson. This research proposes a method for the calculation of the power flow in radial networks that considers their wide range of resistance and reactance values, PV generator characteristics, and radial structure. An iterative methodology is employed, with each iteration beginning with the branch that has the highest accurate power flow solution. The procedure is reliable and effective over various workloads and network configurations. To confirm the effectiveness of the suggested technique on the simple and IEEE 33-bus radial distribution system, simulations were carried out in MATLAB. The implications of including a renewable energy source, such as a PV generator, in the network under consideration are investigated by simulation result comparison. The optimal location of the PV generator was also determined using an Artificial Neural Network (ANN) controller. The results of the identification process improve the already exceptional efficacy and performance of the ANN controller. https://etasr.com/index.php/ETASR/article/view/5496radial networkPV generatorpower flowidentificationANN controllerMATLAB |
| spellingShingle | Mohamed Ali Zdiri Bilel Dhouib Zuhair Alaas Fatma Ben Salem Hsan Hadj Abdallah Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network Engineering, Technology & Applied Science Research radial network PV generator power flow identification ANN controller MATLAB |
| title | Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network |
| title_full | Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network |
| title_fullStr | Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network |
| title_full_unstemmed | Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network |
| title_short | Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network |
| title_sort | load flow analysis and the impact of a solar pv generator in a radial distribution network |
| topic | radial network PV generator power flow identification ANN controller MATLAB |
| url | https://etasr.com/index.php/ETASR/article/view/5496 |
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