Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems

In recent years, renewable types of distributed generation in the distribution system have been much appreciated due to their enormous technical and environmental advantages. This paper proposes a methodology for optimal placement and sizing of renewable distributed generation(s) (i.e., wind, solar...

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Main Authors: Mahesh, K., Nallagownden, P., Elamvazuthi, I.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19481 /
Published: MDPI AG 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021882408&doi=10.3390%2fen10060811&partnerID=40&md5=56fff5d65d5f61facf3a1ff27ebf1ed5
http://eprints.utp.edu.my/19481/
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spelling utp-eprints.194812018-04-20T06:01:23Z Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems Mahesh, K. Nallagownden, P. Elamvazuthi, I. In recent years, renewable types of distributed generation in the distribution system have been much appreciated due to their enormous technical and environmental advantages. This paper proposes a methodology for optimal placement and sizing of renewable distributed generation(s) (i.e., wind, solar and biomass) and capacitor banks into a radial distribution system. The intermittency of wind speed and solar irradiance are handled with multi-state modeling using suitable probability distribution functions. The three objective functions, i.e., power loss reduction, voltage stability improvement, and voltage deviation minimization are optimized using advanced Pareto-front non-dominated sorting multi-objective particle swarm optimization method. First a set of non-dominated Pareto-front data are called from the algorithm. Later, a fuzzy decision technique is applied to extract the trade-off solution set. The effectiveness of the proposed methodology is tested on the standard IEEE 33 test system. The overall results reveal that combination of renewable distributed generations and capacitor banks are dominant in power loss reduction, voltage stability and voltage profile improvement. © 2017 by the authors. Licensee MDPI. MDPI AG 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021882408&doi=10.3390%2fen10060811&partnerID=40&md5=56fff5d65d5f61facf3a1ff27ebf1ed5 Mahesh, K. and Nallagownden, P. and Elamvazuthi, I. (2017) Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems. Energies, 10 (6). http://eprints.utp.edu.my/19481/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In recent years, renewable types of distributed generation in the distribution system have been much appreciated due to their enormous technical and environmental advantages. This paper proposes a methodology for optimal placement and sizing of renewable distributed generation(s) (i.e., wind, solar and biomass) and capacitor banks into a radial distribution system. The intermittency of wind speed and solar irradiance are handled with multi-state modeling using suitable probability distribution functions. The three objective functions, i.e., power loss reduction, voltage stability improvement, and voltage deviation minimization are optimized using advanced Pareto-front non-dominated sorting multi-objective particle swarm optimization method. First a set of non-dominated Pareto-front data are called from the algorithm. Later, a fuzzy decision technique is applied to extract the trade-off solution set. The effectiveness of the proposed methodology is tested on the standard IEEE 33 test system. The overall results reveal that combination of renewable distributed generations and capacitor banks are dominant in power loss reduction, voltage stability and voltage profile improvement. © 2017 by the authors. Licensee MDPI.
format Article
author Mahesh, K.
Nallagownden, P.
Elamvazuthi, I.
spellingShingle Mahesh, K.
Nallagownden, P.
Elamvazuthi, I.
Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
author_sort Mahesh, K.
title Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
title_short Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
title_full Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
title_fullStr Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
title_full_unstemmed Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
title_sort optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
publisher MDPI AG
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021882408&doi=10.3390%2fen10060811&partnerID=40&md5=56fff5d65d5f61facf3a1ff27ebf1ed5
http://eprints.utp.edu.my/19481/
_version_ 1741196213567356928
score 11.62408

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