Optimal Utilization of Distributed Resources with an Iterative Transmission and Distribution Framework
abstract: This thesis focuses on developing an integrated transmission and distribution framework that couples the two sub-systems together with due consideration to conventional demand flexibility. The proposed framework ensures accurate representation of the system resources and the network condit...
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ndltd-asu.edu-item-258732018-06-22T03:05:22Z Optimal Utilization of Distributed Resources with an Iterative Transmission and Distribution Framework abstract: This thesis focuses on developing an integrated transmission and distribution framework that couples the two sub-systems together with due consideration to conventional demand flexibility. The proposed framework ensures accurate representation of the system resources and the network conditions when modeling the distribution system in the transmission OPF and vice-versa. It is further used to develop an accurate pricing mechanism (Distribution-based Location Marginal Pricing), which is reflective of the moment-to-moment costs of generating and delivering electrical energy, for the distribution system. By accurately modeling the two sub-systems, we can improve the economic efficiency and the system reliability, as the price sensitive resources can be controlled to behave in a way that benefits the power system as a whole. Dissertation/Thesis Singhal, Nikita Ghanshyam (Author) Hedman, Kory W (Advisor) Tylavsky, Daniel J (Committee member) Sankar, Lalitha (Committee member) Arizona State University (Publisher) Electrical engineering Distributed Resources Economics Energy Markets Optimal Power Flow Power System Pricing eng 96 pages Masters Thesis Electrical Engineering 2014 Masters Thesis http://hdl.handle.net/2286/R.I.25873 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2014 |
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language |
English |
format |
Dissertation |
sources |
NDLTD |
topic |
Electrical engineering Distributed Resources Economics Energy Markets Optimal Power Flow Power System Pricing |
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Electrical engineering Distributed Resources Economics Energy Markets Optimal Power Flow Power System Pricing Optimal Utilization of Distributed Resources with an Iterative Transmission and Distribution Framework |
description |
abstract: This thesis focuses on developing an integrated transmission and distribution framework that couples the two sub-systems together with due consideration to conventional demand flexibility. The proposed framework ensures accurate representation of the system resources and the network conditions when modeling the distribution system in the transmission OPF and vice-versa. It is further used to develop an accurate pricing mechanism (Distribution-based Location Marginal Pricing), which is reflective of the moment-to-moment costs of generating and delivering electrical energy, for the distribution system. By accurately modeling the two sub-systems, we can improve the economic efficiency and the system reliability, as the price sensitive resources can be controlled to behave in a way that benefits the power system as a whole. === Dissertation/Thesis === Masters Thesis Electrical Engineering 2014 |
author2 |
Singhal, Nikita Ghanshyam (Author) |
author_facet |
Singhal, Nikita Ghanshyam (Author) |
title |
Optimal Utilization of Distributed Resources with an Iterative Transmission and Distribution Framework |
title_short |
Optimal Utilization of Distributed Resources with an Iterative Transmission and Distribution Framework |
title_full |
Optimal Utilization of Distributed Resources with an Iterative Transmission and Distribution Framework |
title_fullStr |
Optimal Utilization of Distributed Resources with an Iterative Transmission and Distribution Framework |
title_full_unstemmed |
Optimal Utilization of Distributed Resources with an Iterative Transmission and Distribution Framework |
title_sort |
optimal utilization of distributed resources with an iterative transmission and distribution framework |
publishDate |
2014 |
url |
http://hdl.handle.net/2286/R.I.25873 |
_version_ |
1718700499711033344 |