Open AccessOptimal penetration of distributed generation system in radial distribution network using adaptive scheme
Author(s) -
Amandeep Gill,
Pushpendra Singh
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1914/1/012027
Subject(s) - sizing , particle swarm optimization , distributed generation , computer science , matlab , electric power system , penetration (warfare) , scheme (mathematics) , control theory (sociology) , voltage , mathematical optimization , power (physics) , engineering , mathematics , algorithm , electrical engineering , mathematical analysis , operations research , art , physics , control (management) , quantum mechanics , artificial intelligence , renewable energy , visual arts , operating system
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.