Cover Image

Future distribution network planning with demand response applications

The philosophy in distribution network planning is continuously evolving to ensure an efficient, reliable and cost-effective network design. This is particularly important with the increasing presence of Distributed Generation (DG) and Demand Response (DR) integration at the distribution network. Th...

Full description

Saved in:
Bibliographic Details
Main Author: Shamshiri, Mesyam
Format: Thesis
Language:English
English
Published: 2017
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/20461/1/Future%20Distribution%20Network%20Planning%20With%20Demand%20Response%20Applications.pdf
http://eprints.utem.edu.my/id/eprint/20461/2/Future%20distribution%20network%20planning%20with%20demand%20response%20applications.pdf
http://eprints.utem.edu.my/id/eprint/20461/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=105851
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.20461
record_format eprints
spelling my.utem.eprints.204612022-06-03T15:51:39Z http://eprints.utem.edu.my/id/eprint/20461/ Future distribution network planning with demand response applications Shamshiri, Mesyam T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The philosophy in distribution network planning is continuously evolving to ensure an efficient, reliable and cost-effective network design. This is particularly important with the increasing presence of Distributed Generation (DG) and Demand Response (DR) integration at the distribution network. Thus, there is a need to develop distribution network modelling tool so that the associated impacts and benefits of such integration can be properly assessed and quantified. In light of this, this thesis presents a fractal-based approach to generate a large number of consumer settlements for low voltage distribution networks. Subsequently, branching rate and minimum spanning tree concepts have been applied to connect the load points and create the network for low voltage and medium voltage, respectively. The Particle Swarm Optimization (PSO) technique was then utilized to determine the optimum rating and placement of transformers, DG and capacitors. The developed simulation tool allows the modelling and planning of distribution network to be carried out in a systematic way. In addition, a total of 10,000 network case studies have been performed to assess the network performance under the influence of demand response and solar PV penetration levels. Three different demand response strategies have been considered in this work, namely, consumer response to their own demand profile, consumer response to PV generation profile and the consumer optimized demand response facilitated by smart grid application. Methodology for generating optimum DR pattern for 2,000 individual consumers have also been proposed and implemented with the aim to improve network load factor. These comprehensive analysis of the benefits of DR would enable a more meaningful and robust conclusion to be made. The findings show that DR application at consumer level can greatly facilitate the integration of solar PV systems. The DR benefits include reduced network losses and increased network asset utilization levels. Last but not least, this research work has filed a patent for the invention of Internet-of-Things based remote demand response and energy monitoring system that could be used as an enabler for demand response application in the actual environment. 2017 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/20461/1/Future%20Distribution%20Network%20Planning%20With%20Demand%20Response%20Applications.pdf text en http://eprints.utem.edu.my/id/eprint/20461/2/Future%20distribution%20network%20planning%20with%20demand%20response%20applications.pdf Shamshiri, Mesyam (2017) Future distribution network planning with demand response applications. Doctoral thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=105851
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Shamshiri, Mesyam
Future distribution network planning with demand response applications
description The philosophy in distribution network planning is continuously evolving to ensure an efficient, reliable and cost-effective network design. This is particularly important with the increasing presence of Distributed Generation (DG) and Demand Response (DR) integration at the distribution network. Thus, there is a need to develop distribution network modelling tool so that the associated impacts and benefits of such integration can be properly assessed and quantified. In light of this, this thesis presents a fractal-based approach to generate a large number of consumer settlements for low voltage distribution networks. Subsequently, branching rate and minimum spanning tree concepts have been applied to connect the load points and create the network for low voltage and medium voltage, respectively. The Particle Swarm Optimization (PSO) technique was then utilized to determine the optimum rating and placement of transformers, DG and capacitors. The developed simulation tool allows the modelling and planning of distribution network to be carried out in a systematic way. In addition, a total of 10,000 network case studies have been performed to assess the network performance under the influence of demand response and solar PV penetration levels. Three different demand response strategies have been considered in this work, namely, consumer response to their own demand profile, consumer response to PV generation profile and the consumer optimized demand response facilitated by smart grid application. Methodology for generating optimum DR pattern for 2,000 individual consumers have also been proposed and implemented with the aim to improve network load factor. These comprehensive analysis of the benefits of DR would enable a more meaningful and robust conclusion to be made. The findings show that DR application at consumer level can greatly facilitate the integration of solar PV systems. The DR benefits include reduced network losses and increased network asset utilization levels. Last but not least, this research work has filed a patent for the invention of Internet-of-Things based remote demand response and energy monitoring system that could be used as an enabler for demand response application in the actual environment.
format Thesis
author Shamshiri, Mesyam
author_facet Shamshiri, Mesyam
author_sort Shamshiri, Mesyam
title Future distribution network planning with demand response applications
title_short Future distribution network planning with demand response applications
title_full Future distribution network planning with demand response applications
title_fullStr Future distribution network planning with demand response applications
title_full_unstemmed Future distribution network planning with demand response applications
title_sort future distribution network planning with demand response applications
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/20461/1/Future%20Distribution%20Network%20Planning%20With%20Demand%20Response%20Applications.pdf
http://eprints.utem.edu.my/id/eprint/20461/2/Future%20distribution%20network%20planning%20with%20demand%20response%20applications.pdf
http://eprints.utem.edu.my/id/eprint/20461/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=105851
_version_ 1735390158940798976
score 13.223943

Similar Items