Reliability Study of a Smart Distribution System with Optimal Sizing and Placement of Capacitors
Loading...
Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
This work introduces a new modified IEEE 33-node test system to be smart by implementing distributed renewable generation, smart metering load characteristics, and optimal installation of capacitors. The Particle Swarm Optimisation (PSO) technique is adopted to compute the optimal sizing and placement of capacitor in the original network. Then, to assess the reliability of the original and modified test systems, a sequential Monte Carlo simulation takes place. The relevant contribution of this paper is that it offers a comprehensive approach of a reliability assessment in a distribution system, where several smart features have been implemented. In addition, the modified system opens a pathway for future research in which smart distribution system analysis is required related mainly to reliability assessment.
Resumen
Keywords
sequential Monte Carlo simulation
Citation
Código de tesis
Código de tesis
Grado Académico
Director de tesis
Enlace al documento
URI
http://dspace.ucuenca.edu.ec/handle/123456789/43267
https://www.scopus.com/record/display.uri?eid=2-s2.0-85126955704&origin=resultslist&sort=plf-f&src=s&sid=42400db189a98064399ad516798629c0&sot=b&sdt=b&s=TITLE-ABS-KEY%28Reliability+Study+of+a+Smart+Distribution+System+with+Optimal+Sizing+and+Placement+of+Capacitors%29&sl=111&sessionSearchId=42400db189a98064399ad516798629c0
https://www.scopus.com/record/display.uri?eid=2-s2.0-85126955704&origin=resultslist&sort=plf-f&src=s&sid=42400db189a98064399ad516798629c0&sot=b&sdt=b&s=TITLE-ABS-KEY%28Reliability+Study+of+a+Smart+Distribution+System+with+Optimal+Sizing+and+Placement+of+Capacitors%29&sl=111&sessionSearchId=42400db189a98064399ad516798629c0