Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning
Electrical energy is critical to a country’s socioeconomic progress. Distribution system expansion planning addresses the services that must be installed for the distribution networks to meet the expected load need, while also meeting different operational and technical limitations. The incorporatio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/4/1378 |
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| author | Mulusew Ayalew Baseem Khan Issaias Giday Om Prakash Mahela Mahdi Khosravy Neeraj Gupta Tomonobu Senjyu |
| author_facet | Mulusew Ayalew Baseem Khan Issaias Giday Om Prakash Mahela Mahdi Khosravy Neeraj Gupta Tomonobu Senjyu |
| author_sort | Mulusew Ayalew |
| collection | DOAJ |
| description | Electrical energy is critical to a country’s socioeconomic progress. Distribution system expansion planning addresses the services that must be installed for the distribution networks to meet the expected load need, while also meeting different operational and technical limitations. The incorporation of distributed generation sources (DGs) alters the operating characteristics of modern power systems, resulting in major economic and technical benefits, such as simplified distribution network expansion planning, lower power losses, and improved voltage profile. Thus, in this study, an analytical method is used to design the expansion planning of the Addis North distribution network considering the integration of optimal sizes of distributed generations for the projected demand growths. To evaluate the capability of the existing Addis North distribution network and its capability to supply reliable power considering future expansion, the load demand forecast for the years 2020–2030 is done using the least square method. The performance evaluation of the existing and the upgraded network considering the existing and forecasted load demand for the years 2030 is done using ETAP software. Accordingly, the results revealed that the existing networks cannot meet the existing load demand of the town, with major problems of increased power loss and a reduced voltage profile. To mitigate this problem, the Addis North feeder-1 distribution network is upgraded and for each study case, the balanced and positive sequence load flow analysis was executed and the maximum total real and reactive power losses were found at bus 29. The result shows that the upgraded network of bus 29 was the optimal location of DG and its size was 9.93 MW. After the optimal size of DG was placed at this bus, the real and reactive power losses of the upgraded networks were 0.2939 MW and 0.219 MVAr, respectively. At bus 29 the maximum power losses reduction and voltage profile improvements were found. The active and reactive power losses were minimized by 21.285% and 19.633% respectively and the voltage profiles were improved by 8.78%. Thus, in the predicted year 2030, DG power sources could cover 61.12% of the feeder-1 power requirements. |
| first_indexed | 2024-03-09T22:04:33Z |
| format | Article |
| id | doaj.art-744890db20f5459481ac29d55f27b92d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T22:04:33Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-744890db20f5459481ac29d55f27b92d2023-11-23T19:43:04ZengMDPI AGEnergies1996-10732022-02-01154137810.3390/en15041378Integration of Renewable Based Distributed Generation for Distribution Network Expansion PlanningMulusew Ayalew0Baseem Khan1Issaias Giday2Om Prakash Mahela3Mahdi Khosravy4Neeraj Gupta5Tomonobu Senjyu6Department of Electrical and Computer Engineering, Hawassa University, Hawassa 1530, EthiopiaDepartment of Electrical and Computer Engineering, Hawassa University, Hawassa 1530, EthiopiaDepartment of Electrical and Computer Engineering, Hawassa University, Hawassa 1530, EthiopiaPower System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur 302005, IndiaCross Labs, Cross-Compass Ltd., Tokyo 104-0045, JapanComputer Science and Engineering Department, Oakland University, Rochester, NY 48309, USAFaculty of Engineering, University of the Ryukyus, Okinawa 903-0213, JapanElectrical energy is critical to a country’s socioeconomic progress. Distribution system expansion planning addresses the services that must be installed for the distribution networks to meet the expected load need, while also meeting different operational and technical limitations. The incorporation of distributed generation sources (DGs) alters the operating characteristics of modern power systems, resulting in major economic and technical benefits, such as simplified distribution network expansion planning, lower power losses, and improved voltage profile. Thus, in this study, an analytical method is used to design the expansion planning of the Addis North distribution network considering the integration of optimal sizes of distributed generations for the projected demand growths. To evaluate the capability of the existing Addis North distribution network and its capability to supply reliable power considering future expansion, the load demand forecast for the years 2020–2030 is done using the least square method. The performance evaluation of the existing and the upgraded network considering the existing and forecasted load demand for the years 2030 is done using ETAP software. Accordingly, the results revealed that the existing networks cannot meet the existing load demand of the town, with major problems of increased power loss and a reduced voltage profile. To mitigate this problem, the Addis North feeder-1 distribution network is upgraded and for each study case, the balanced and positive sequence load flow analysis was executed and the maximum total real and reactive power losses were found at bus 29. The result shows that the upgraded network of bus 29 was the optimal location of DG and its size was 9.93 MW. After the optimal size of DG was placed at this bus, the real and reactive power losses of the upgraded networks were 0.2939 MW and 0.219 MVAr, respectively. At bus 29 the maximum power losses reduction and voltage profile improvements were found. The active and reactive power losses were minimized by 21.285% and 19.633% respectively and the voltage profiles were improved by 8.78%. Thus, in the predicted year 2030, DG power sources could cover 61.12% of the feeder-1 power requirements.https://www.mdpi.com/1996-1073/15/4/1378analytical methodvoltage profile improvementplanning |
| spellingShingle | Mulusew Ayalew Baseem Khan Issaias Giday Om Prakash Mahela Mahdi Khosravy Neeraj Gupta Tomonobu Senjyu Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning Energies analytical method voltage profile improvement planning |
| title | Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning |
| title_full | Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning |
| title_fullStr | Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning |
| title_full_unstemmed | Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning |
| title_short | Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning |
| title_sort | integration of renewable based distributed generation for distribution network expansion planning |
| topic | analytical method voltage profile improvement planning |
| url | https://www.mdpi.com/1996-1073/15/4/1378 |
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