Allocation of Distributed Generation in Distribution Networks Using Specialized Genetic Algorithms

This paper makes a comparison of distributed generation allocation in distribution networks using two algorithms based on Genetic Algorithms: the Compact Genetic Algorithm (CGA) and the Chu-Beasley Genetic Algorithm (CBGA). The operations conditions of the network are verified through the backward/f...

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Bibliographic Details
Main Authors: Santos, Josephy Dias, Negrete, Lina Paola Garces, Da Cunha Brito, Leonardo
Format: Conference Proceeding
Language:English
Subjects:
back-ward/forward sweep method
distributed generation
Distributed power generation
distribution network
Distribution networks
genetic algorithm
Linear programming
Resource management
Robustness
Smart grids
Voltage control
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Summary:This paper makes a comparison of distributed generation allocation in distribution networks using two algorithms based on Genetic Algorithms: the Compact Genetic Algorithm (CGA) and the Chu-Beasley Genetic Algorithm (CBGA). The operations conditions of the network are verified through the backward/forward sweep method. The objective function considered in the optimization model aims at minimizing of total active power losses in the system. The specialized algorithms are tested with three electrical systems: 10-bus, 34-bus, 70-bus and 126-bus and the obtained results show the convergence quickly and the robustness of the implemented algorithms.
ISSN:2643-8798
DOI:10.1109/ISGTLatinAmerica52371.2021.9543022