Power loss mitigation and voltage profile improvement by optimizing distributed generation
In a developing country, electricity has become the necessity of the growth industries; thus, the distribution system power quality and reliability are crucial. With low carbon initiatives, renewable energy or distributed generation (DG) is a promising source of electricity and leads the complex dis...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2022
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| Online Access: | http://eprints.utm.my/98691/1/SyedNorazizul2022_PowerLossMitigationAndVoltageProfileImprovement.pdf |
| _version_ | 1796866670472462336 |
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| author | Syed Nasir, S. N. Othman, A. F. Ayop, R. Jamian, J. J. |
| author_facet | Syed Nasir, S. N. Othman, A. F. Ayop, R. Jamian, J. J. |
| author_sort | Syed Nasir, S. N. |
| collection | ePrints |
| description | In a developing country, electricity has become the necessity of the growth industries; thus, the distribution system power quality and reliability are crucial. With low carbon initiatives, renewable energy or distributed generation (DG) is a promising source of electricity and leads the complex distribution system. Vital rises in DGs in power grids will significantly impact the system reliability and security, especially in power losses and voltage profiles parameters. This research focuses on an optimization placement and size of DGs in distribution systems to minimize power loss and improve voltage profile using the Modified Lightning Search Algorithm (MLSA). This research has modelled the practical 69-bus radial distribution system. Then MLSA with a weight summation approach is used to identify the suitable location and size for the DGs in the design proposal stage. The optimization objectives are to reduce power losses and improve the voltage profile, especially at the connection point of DGs. Besides that, load profile, DGs constant load and the solar load in distribution system modelled using MATLAB software. The results of the simulation using MLSA indicated that the optimization allocation and sizes of solar DGs applied with current load and load changes can minimize the power losses and improve voltage profile. These results verify the proposed approach's effectiveness and success in determining the optimal location and sizing of solar DGs to reduce power losses as well as improve voltage profiles. |
| first_indexed | 2024-03-05T21:15:38Z |
| format | Conference or Workshop Item |
| id | utm.eprints-98691 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:15:38Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | utm.eprints-986912023-02-02T05:41:56Z http://eprints.utm.my/98691/ Power loss mitigation and voltage profile improvement by optimizing distributed generation Syed Nasir, S. N. Othman, A. F. Ayop, R. Jamian, J. J. TK Electrical engineering. Electronics Nuclear engineering In a developing country, electricity has become the necessity of the growth industries; thus, the distribution system power quality and reliability are crucial. With low carbon initiatives, renewable energy or distributed generation (DG) is a promising source of electricity and leads the complex distribution system. Vital rises in DGs in power grids will significantly impact the system reliability and security, especially in power losses and voltage profiles parameters. This research focuses on an optimization placement and size of DGs in distribution systems to minimize power loss and improve voltage profile using the Modified Lightning Search Algorithm (MLSA). This research has modelled the practical 69-bus radial distribution system. Then MLSA with a weight summation approach is used to identify the suitable location and size for the DGs in the design proposal stage. The optimization objectives are to reduce power losses and improve the voltage profile, especially at the connection point of DGs. Besides that, load profile, DGs constant load and the solar load in distribution system modelled using MATLAB software. The results of the simulation using MLSA indicated that the optimization allocation and sizes of solar DGs applied with current load and load changes can minimize the power losses and improve voltage profile. These results verify the proposed approach's effectiveness and success in determining the optimal location and sizing of solar DGs to reduce power losses as well as improve voltage profiles. 2022 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/98691/1/SyedNorazizul2022_PowerLossMitigationAndVoltageProfileImprovement.pdf Syed Nasir, S. N. and Othman, A. F. and Ayop, R. and Jamian, J. J. (2022) Power loss mitigation and voltage profile improvement by optimizing distributed generation. In: 3rd International Conference on Emerging Electrical Energy, Electronics and Computing Technologies 2021, ICE4CT 2021, 16 - 17 December 2021, Virtual, Online. http://dx.doi.org/10.1088/1742-6596/2312/1/012023 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Syed Nasir, S. N. Othman, A. F. Ayop, R. Jamian, J. J. Power loss mitigation and voltage profile improvement by optimizing distributed generation |
| title | Power loss mitigation and voltage profile improvement by optimizing distributed generation |
| title_full | Power loss mitigation and voltage profile improvement by optimizing distributed generation |
| title_fullStr | Power loss mitigation and voltage profile improvement by optimizing distributed generation |
| title_full_unstemmed | Power loss mitigation and voltage profile improvement by optimizing distributed generation |
| title_short | Power loss mitigation and voltage profile improvement by optimizing distributed generation |
| title_sort | power loss mitigation and voltage profile improvement by optimizing distributed generation |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/98691/1/SyedNorazizul2022_PowerLossMitigationAndVoltageProfileImprovement.pdf |
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