A New Modification for TLBO Algorithm to Placement of Distributed Generation

Placement of Distributed Generators (DGs) can improve power quality characteristics of the distribution system. This paper presents a multi-objective modified-teaching-learning-based-optimization (MOTLBO) algorithm to the placement of DGs in a distribution system. Three objective functions are consi...

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Bibliographic Details
Main Authors: Taheri, Seyed Iman, Salles, M. B. C.
Format: Conference Proceeding
Language:English
Subjects:
Convergence
Distributed generator
Fuel cells
Generators
Linear programming
Modified Teaching-Learning-Based optimization
multi-objective and placement
Optimization
Sociology
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Summary:Placement of Distributed Generators (DGs) can improve power quality characteristics of the distribution system. This paper presents a multi-objective modified-teaching-learning-based-optimization (MOTLBO) algorithm to the placement of DGs in a distribution system. Three objective functions are considered which are optimization of voltage profile and minimization of losses and cost of the distribution system. Two kinds of DGs which are photovoltaic units and fuel cell units are considered in this paper because they represent an established technology (photovoltaic) and a promising one (fuel cell). The original teaching-learning-based-optimization (TLBO) algorithm is modified in teaching and learning phases for improving the accuracy and convergence velocity of TLBO. The suggested algorithm is executed on a 70-bus-radial-distribution-system in comparison with other evolutionary methods. The superiority of the proposed algorithm is its accuracy and calculation velocity.
ISSN:2474-9664
DOI:10.1109/ICCEP.2019.8890101