Determination of Optimal Location and Sizing of Solar Photovoltaic Distribution Generation Units in Radial Distribution Systems

This paper presents an effective biogeography-based optimization (BBO) for optimal location and sizing of solar photovoltaic distributed generation (PVDG) units to reduce power losses while maintaining voltage profile and voltage harmonic distortion at the limits. This applied algorithm was motivate...

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Bibliographic Details
Published inEnergies (Basel) Vol. 12; no. 1; p. 174
Main Authors Duong, Minh, Pham, Thai, Nguyen, Thang, Doan, Anh, Tran, Hai
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2019
Subjects
Biogeography
biogeography-based optimization
distributed generation
Electric power distribution
Electric power systems
Genetic algorithms
harmonic distortion
Integer programming
Low voltage
Lower bounds
Methods
Multiple objective analysis
Objective function
Objectives
Optimization
Optimization algorithms
Optimization techniques
Photovoltaics
Power loss
Radial distribution
solar photovoltaic
Upper bounds
Voltage
voltage profile
Vietnam
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Summary:This paper presents an effective biogeography-based optimization (BBO) for optimal location and sizing of solar photovoltaic distributed generation (PVDG) units to reduce power losses while maintaining voltage profile and voltage harmonic distortion at the limits. This applied algorithm was motivated by biogeography, that the study of the distribution of biological species through time and space. This technique is able to expand the searching space and retain good solution group at each generation. Therefore, the applied method can significantly improve performance. The effectiveness of the applied algorithm is validated by testing it on IEEE 33-bus and IEEE 69-bus radial distribution systems. The obtained results are compared with the genetic algorithm (GA), the particle swarm optimization algorithm (PSO) and the artificial bee colony algorithm (ABC). As a result, the applied algorithm offers better solution quality and accuracy with faster convergence.
ISSN:1996-1073
1996-1073
DOI:10.3390/en12010174