An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks
With the falling cost of Distributed Energy Resources (DERs) and the shift from fossil fuel to renewable energy in many countries, the integration of DERs is expected to grow. This can lead to a wide range of problems in the power system, such as voltage violations, overloading of distribution lines...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9950267/ |
| _version_ | 1811319074913779712 |
|---|---|
| author | Mohammad Zain Ul Abideen Omar Ellabban Furkan Ahmad Luluwah Al-Fagih |
| author_facet | Mohammad Zain Ul Abideen Omar Ellabban Furkan Ahmad Luluwah Al-Fagih |
| author_sort | Mohammad Zain Ul Abideen |
| collection | DOAJ |
| description | With the falling cost of Distributed Energy Resources (DERs) and the shift from fossil fuel to renewable energy in many countries, the integration of DERs is expected to grow. This can lead to a wide range of problems in the power system, such as voltage violations, overloading of distribution lines, reverse power flow, etc. Therefore, it is imperative to account for these adverse effects of the integration of DERs on the distribution network and minimize their impact when calculating the Hosting Capacity (HC). Two algorithms are presented in this study derived from a novel modified iterative method and a novel Repeated Particle Swarm Optimization (RPSO) method for determining the HC for multiple DER units simultaneously or a single DER unit integrating into radial or mesh networks. These algorithms calculate the optimal HC based on six scenarios of annual load and DER generation profiles. The developed algorithms were tested on the IEEE 123 bus network, and their results were compared. For a large-scale DER case, the modified iterative method significantly outperforms both the PSO and the normal iterative method in terms of computation time (30 minutes versus 3 hours versus 6 hours, respectively). In the case of multiple DERs, the RPSO method is the only option, as the other two methods cannot simultaneously optimize multiple DERs. As a result, it has been concluded that it is necessary to select HC calculation methods carefully and in accordance with the application, as each method has its own strengths and weaknesses. |
| first_indexed | 2024-04-13T12:35:55Z |
| format | Article |
| id | doaj.art-fb91e7f59efd40e397ca5b93a6307628 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T12:35:55Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-fb91e7f59efd40e397ca5b93a63076282022-12-22T02:46:40ZengIEEEIEEE Access2169-35362022-01-011012056312057710.1109/ACCESS.2022.32219449950267An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution NetworksMohammad Zain Ul Abideen0https://orcid.org/0000-0001-5313-1993Omar Ellabban1https://orcid.org/0000-0002-1340-0332Furkan Ahmad2https://orcid.org/0000-0002-1176-1759Luluwah Al-Fagih3https://orcid.org/0000-0002-0449-1324Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, QatarCSA Catapult, Imperial Park, Innovation Centre, Celtic Way, Newport, U.KDivision of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, QatarDivision of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, QatarWith the falling cost of Distributed Energy Resources (DERs) and the shift from fossil fuel to renewable energy in many countries, the integration of DERs is expected to grow. This can lead to a wide range of problems in the power system, such as voltage violations, overloading of distribution lines, reverse power flow, etc. Therefore, it is imperative to account for these adverse effects of the integration of DERs on the distribution network and minimize their impact when calculating the Hosting Capacity (HC). Two algorithms are presented in this study derived from a novel modified iterative method and a novel Repeated Particle Swarm Optimization (RPSO) method for determining the HC for multiple DER units simultaneously or a single DER unit integrating into radial or mesh networks. These algorithms calculate the optimal HC based on six scenarios of annual load and DER generation profiles. The developed algorithms were tested on the IEEE 123 bus network, and their results were compared. For a large-scale DER case, the modified iterative method significantly outperforms both the PSO and the normal iterative method in terms of computation time (30 minutes versus 3 hours versus 6 hours, respectively). In the case of multiple DERs, the RPSO method is the only option, as the other two methods cannot simultaneously optimize multiple DERs. As a result, it has been concluded that it is necessary to select HC calculation methods carefully and in accordance with the application, as each method has its own strengths and weaknesses.https://ieeexplore.ieee.org/document/9950267/Distribution networkdistributed energy resourceshosting capacityIEEE 123~bus networkparticle swarm optimization (PSO) |
| spellingShingle | Mohammad Zain Ul Abideen Omar Ellabban Furkan Ahmad Luluwah Al-Fagih An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks IEEE Access Distribution network distributed energy resources hosting capacity IEEE 123~bus network particle swarm optimization (PSO) |
| title | An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks |
| title_full | An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks |
| title_fullStr | An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks |
| title_full_unstemmed | An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks |
| title_short | An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks |
| title_sort | enhanced approach for solar pv hosting capacity analysis in distribution networks |
| topic | Distribution network distributed energy resources hosting capacity IEEE 123~bus network particle swarm optimization (PSO) |
| url | https://ieeexplore.ieee.org/document/9950267/ |
| work_keys_str_mv | AT mohammadzainulabideen anenhancedapproachforsolarpvhostingcapacityanalysisindistributionnetworks AT omarellabban anenhancedapproachforsolarpvhostingcapacityanalysisindistributionnetworks AT furkanahmad anenhancedapproachforsolarpvhostingcapacityanalysisindistributionnetworks AT luluwahalfagih anenhancedapproachforsolarpvhostingcapacityanalysisindistributionnetworks AT mohammadzainulabideen enhancedapproachforsolarpvhostingcapacityanalysisindistributionnetworks AT omarellabban enhancedapproachforsolarpvhostingcapacityanalysisindistributionnetworks AT furkanahmad enhancedapproachforsolarpvhostingcapacityanalysisindistributionnetworks AT luluwahalfagih enhancedapproachforsolarpvhostingcapacityanalysisindistributionnetworks |