A Study on Non–traditional Strategies to Relieve Distribution Network Congestion

碩士 === 國立中山大學 === 電機工程學系研究所 === 98 === The amount of distributed generation (DG) is increasing worldwide, and it is located in distribution networks close to consumers or even in the consumers’ side of the meter. Therefore, the net demand to be supplied through transmission and distribution networks...

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Main Authors: Po-yi Huang, 黃博儀
Other Authors: Chan-Nan Lu
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/95871684146303813982
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spelling ndltd-TW-098NSYS54420562015-10-13T18:39:46Z http://ndltd.ncl.edu.tw/handle/95871684146303813982 A Study on Non–traditional Strategies to Relieve Distribution Network Congestion 非傳統配電網路壅塞改善策略研究 Po-yi Huang 黃博儀 碩士 國立中山大學 電機工程學系研究所 98 The amount of distributed generation (DG) is increasing worldwide, and it is located in distribution networks close to consumers or even in the consumers’ side of the meter. Therefore, the net demand to be supplied through transmission and distribution networks may decrease, allowing to postpone reinforcement of existing networks. This thesis presents a methodology for assessing the potential benefits of using non--constructional reinforcement strategies to relieve distribution network congestion and increase the utilization of the network assets. Due to the randomness of involved variables (load demand patterns, DG hourly production, DG availability, etc.), a simulation approach is used to model the uncertainties. The benefits of DG, energy storage (ES), and demand response (DR) on congestion relief and investment deferment are evaluated. The analyzed items include: the distribution network investment avoided cost, levelized annual cost, hourly overload probability, and hourly overload risk. Simulation results indicate the potential benefits of non--traditional strategies in increasing the distribution network utilization and relieving network congestion. Chan-Nan Lu 盧展南 2010 學位論文 ; thesis 99 zh-TW
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language zh-TW
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description 碩士 === 國立中山大學 === 電機工程學系研究所 === 98 === The amount of distributed generation (DG) is increasing worldwide, and it is located in distribution networks close to consumers or even in the consumers’ side of the meter. Therefore, the net demand to be supplied through transmission and distribution networks may decrease, allowing to postpone reinforcement of existing networks. This thesis presents a methodology for assessing the potential benefits of using non--constructional reinforcement strategies to relieve distribution network congestion and increase the utilization of the network assets. Due to the randomness of involved variables (load demand patterns, DG hourly production, DG availability, etc.), a simulation approach is used to model the uncertainties. The benefits of DG, energy storage (ES), and demand response (DR) on congestion relief and investment deferment are evaluated. The analyzed items include: the distribution network investment avoided cost, levelized annual cost, hourly overload probability, and hourly overload risk. Simulation results indicate the potential benefits of non--traditional strategies in increasing the distribution network utilization and relieving network congestion.
author2 Chan-Nan Lu
author_facet Chan-Nan Lu
Po-yi Huang
黃博儀
author Po-yi Huang
黃博儀
spellingShingle Po-yi Huang
黃博儀
A Study on Non–traditional Strategies to Relieve Distribution Network Congestion
author_sort Po-yi Huang
title A Study on Non–traditional Strategies to Relieve Distribution Network Congestion
title_short A Study on Non–traditional Strategies to Relieve Distribution Network Congestion
title_full A Study on Non–traditional Strategies to Relieve Distribution Network Congestion
title_fullStr A Study on Non–traditional Strategies to Relieve Distribution Network Congestion
title_full_unstemmed A Study on Non–traditional Strategies to Relieve Distribution Network Congestion
title_sort study on non–traditional strategies to relieve distribution network congestion
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/95871684146303813982
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