Optimal penetration of distributed generation system in radial distribution network using adaptive scheme. Issue 1 (May 2021)
- Record Type:
- Journal Article
- Title:
- Optimal penetration of distributed generation system in radial distribution network using adaptive scheme. Issue 1 (May 2021)
- Main Title:
- Optimal penetration of distributed generation system in radial distribution network using adaptive scheme
- Authors:
- Gill, A
Singh, P - Abstract:
- Abstract: In this paper, an adaptive scheme based on biogeography based optimization and particle swarm optimization method for optimal penetration and sizing of distributed generation system in the existing radial distribution network at the optimal bus is suggested. Power losses and voltage profile maintenance are the biggest restrictions of the existing power system. These power losses will be calculated by load flow analysis and the adaptive scheme has been applied for power loss reduction and enhancing voltage profile. The testing of the adaptive scheme for optimal penetration and sizing of distributed generation system will be done at the IEEE 69 bus radial distribution network. This adaptive scheme and IEEE 69 bus radial distribution network are modelled with the help of Matlab software.
- Is Part Of:
- Journal of physics. Volume 1914:Issue 1(2021)
- Journal:
- Journal of physics
- Issue:
- Volume 1914:Issue 1(2021)
- Issue Display:
- Volume 1914, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 1914
- Issue:
- 1
- Issue Sort Value:
- 2021-1914-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-05
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1914/1/012027 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25459.xml