Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics
<p dir="ltr">This paper aims to present an economic decision-making model for determining the optimal wind turbine (WT) design for different bus nodes in a Radial Distribution Network (RDN) based on the wind potential of the studied site and grid capability. The main objective functi...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513527394336768 |
|---|---|
| author | Fatima-Azahraa Bourhim (16876020) |
| author2 | Ahmed Ouammi (14151039) Rachid Benchrifa (16876026) Mohamed Chaouch (17983846) |
| author2_role | author author author |
| author_facet | Fatima-Azahraa Bourhim (16876020) Ahmed Ouammi (14151039) Rachid Benchrifa (16876026) Mohamed Chaouch (17983846) |
| author_role | author |
| dc.creator.none.fl_str_mv | Fatima-Azahraa Bourhim (16876020) Ahmed Ouammi (14151039) Rachid Benchrifa (16876026) Mohamed Chaouch (17983846) |
| dc.date.none.fl_str_mv | 2023-10-16T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2023.3324884 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Optimal_Wind_Turbine_Design_Based_Wind_Potential_and_Radial_Distribution_Network_Characteristics/25239538 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Costs Rotors Poles and towers Optimization Wind speed Power system stability Distribution networks Artificial neural networks Radial basis function networks Wind turbines NPV radial distribution network wind energy |
| dc.title.none.fl_str_mv | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This paper aims to present an economic decision-making model for determining the optimal wind turbine (WT) design for different bus nodes in a Radial Distribution Network (RDN) based on the wind potential of the studied site and grid capability. The main objective function in the optimization problem of this study is the maximization of the Net Present Value (NPV) of wind energy incomes subject to the WT geometrical design variables, including the rotor diameter and Tower Height; and under the RDN constraints to maintain the power system stability. Adequate placements among the different bus nodes for WT installation are those with the maximum NPV value. Furthermore, the intermittent characteristic of wind energy leads to the use of an Artificial Neural Network (ANN) in wind speed forecasting for good estimation of the generated wind energy. The effectiveness of the proposed model was validated using IEEE 9 and IEEE 33 Bus RDNs. The results demonstrate that the WT design determination is not related to the power of the wind potential but mostly to the capability of the connected RDN.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3324884" target="_blank">https://dx.doi.org/10.1109/access.2023.3324884</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_ca2d912d9b129c9033a947bc4401e279 |
| identifier_str_mv | 10.1109/access.2023.3324884 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25239538 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network CharacteristicsFatima-Azahraa Bourhim (16876020)Ahmed Ouammi (14151039)Rachid Benchrifa (16876026)Mohamed Chaouch (17983846)EngineeringElectrical engineeringElectronics, sensors and digital hardwareMaterials engineeringCostsRotorsPoles and towersOptimizationWind speedPower system stabilityDistribution networksArtificial neural networksRadial basis function networksWind turbinesNPVradial distribution networkwind energy<p dir="ltr">This paper aims to present an economic decision-making model for determining the optimal wind turbine (WT) design for different bus nodes in a Radial Distribution Network (RDN) based on the wind potential of the studied site and grid capability. The main objective function in the optimization problem of this study is the maximization of the Net Present Value (NPV) of wind energy incomes subject to the WT geometrical design variables, including the rotor diameter and Tower Height; and under the RDN constraints to maintain the power system stability. Adequate placements among the different bus nodes for WT installation are those with the maximum NPV value. Furthermore, the intermittent characteristic of wind energy leads to the use of an Artificial Neural Network (ANN) in wind speed forecasting for good estimation of the generated wind energy. The effectiveness of the proposed model was validated using IEEE 9 and IEEE 33 Bus RDNs. The results demonstrate that the WT design determination is not related to the power of the wind potential but mostly to the capability of the connected RDN.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3324884" target="_blank">https://dx.doi.org/10.1109/access.2023.3324884</a></p>2023-10-16T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2023.3324884https://figshare.com/articles/journal_contribution/Optimal_Wind_Turbine_Design_Based_Wind_Potential_and_Radial_Distribution_Network_Characteristics/25239538CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252395382023-10-16T09:00:00Z |
| spellingShingle | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics Fatima-Azahraa Bourhim (16876020) Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Costs Rotors Poles and towers Optimization Wind speed Power system stability Distribution networks Artificial neural networks Radial basis function networks Wind turbines NPV radial distribution network wind energy |
| status_str | publishedVersion |
| title | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics |
| title_full | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics |
| title_fullStr | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics |
| title_full_unstemmed | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics |
| title_short | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics |
| title_sort | Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics |
| topic | Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Costs Rotors Poles and towers Optimization Wind speed Power system stability Distribution networks Artificial neural networks Radial basis function networks Wind turbines NPV radial distribution network wind energy |