Abstract
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.
Highlights
Nowadays, the installation of distributed generation sources (DGs) in general and solar photovoltaic distributed generation (PVDG) is common in the distribution network
The suggested biogeography-based optimization (BBO) method together with three other popular methods consisting of particle swarm optimization (PSO), artificial bee colony (ABC) and genetic algorithm (GA) are employed to find optimal location as well as optimal capacity of PVDG units installed in IEEE 33-bus and IEEE 69-bus radial distribution systems
We implement BBO method for finding optimal location and sizing of PVDG units with intent to reduce total active power loss while two main requirements such as harmonic flow constraints followed by IEEE Std. 519 and keeping voltage of all buses within an accepted range
Summary
The installation of distributed generation sources (DGs) in general and solar photovoltaic distributed generation (PVDG) is common in the distribution network. In addition to PSO, genetic algorithm (GA) is one of the most popular methods and has been applied for the considered problem [9,10] These authors used GA to determine location and sizing of DG units for improving the voltage profile as well as power loss reduction. The suggested BBO method together with three other popular methods consisting of PSO, ABC and GA are employed to find optimal location as well as optimal capacity of PVDG units installed in IEEE 33-bus and IEEE 69-bus radial distribution systems The obtained results, such as total power loss, voltage profile, THD, IHD and capacity of all PVDG units together with optimal solution search process figure of all applied methods, are compared for resulting in the evaluation of with other methods.
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