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Optimization Under Fuzzy Constraints: From a Heuristic Algorithm to an Algorithm that Always Converges Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Simulation of a 14 Node IEEE System with Distributed Generation Using Quasi-dynamic Analysis

Authors : Luis Felipe Gaitan, Juan David Gómez, Edwin Rivas Trujillo

Published in: Applied Computer Sciences in Engineering

Publisher: Springer International Publishing

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Abstract

In this article, an electrical system with a study case is presented within the Colombian industrial electric sector in order to identify the changes in the electrical variables of a electrical network with distributed generation (DG). To achieve this, each present load in the 14-node IEEE system was modelled as daily demand curve of the Colombian industrial electric sector. In first place, the power dispatch of the 14-node IEEE system with DG was optimized through the particle swarm method. Afterwards, Quasi-Dynamic simulations were implemented throughout a 24-h period in the different nodes of the system with the purpose of estimate the transformers and line losses as well as the variations in the power and voltage profiles in the system nodes. DG systems supply effectively the demanded power however the voltage and power profiles resulting from Quasi-Dynamic simulations do not show significant changes in the behavior of the electrical network.

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Metadata
Title
Simulation of a 14 Node IEEE System with Distributed Generation Using Quasi-dynamic Analysis
Authors
Luis Felipe Gaitan
Juan David Gómez
Edwin Rivas Trujillo
Copyright Year
2018
Book
Applied Computer Sciences in Engineering

Print ISBN: 978-3-030-00349-4

Electronic ISBN: 978-3-030-00350-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00350-0_41

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