Unit commitment for a smart energy distributed system

A Smart energy distributed system (SEDS) consists of several price-sensitive loads, fixed passive loads and distributed energy resources (DER) such as diesel engines, micro turbines, fuel cells, photovoltaic, wind turbines, etc. The system is connected to a LV networks and in turn is connected to a...

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Main Author: Wong, Lip Pang.
Other Authors: Gooi Hoay Beng
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/41729
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-417292023-07-04T15:27:07Z Unit commitment for a smart energy distributed system Wong, Lip Pang. Gooi Hoay Beng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Power electronics A Smart energy distributed system (SEDS) consists of several price-sensitive loads, fixed passive loads and distributed energy resources (DER) such as diesel engines, micro turbines, fuel cells, photovoltaic, wind turbines, etc. The system is connected to a LV networks and in turn is connected to an upstream MV networks which forms part of the Distribution Management System (OMS). This project is to analyze and design software algorithms that can perform the modeling of DER, specificaIIy for wind power and price-sensitive loads for the economic scheduling. The scheduling must meet the customers' fixed and variable load requirements and the wind power constraints. Customers may bid for the supply of loads and may offer to shed low priority loads when prices increase. A unit commitment software program employing the LaGrange-Relaxation solution technique is used as a building block of the modeling software. The software program will be developed to solve the classical unit commitment scheduling problem with the wind power penetration. Master of Science (Power Engineering) 2010-08-05T08:12:13Z 2010-08-05T08:12:13Z 2008 2008 Thesis http://hdl.handle.net/10356/41729 en 113 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Power electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Power electronics
Wong, Lip Pang.
Unit commitment for a smart energy distributed system
description A Smart energy distributed system (SEDS) consists of several price-sensitive loads, fixed passive loads and distributed energy resources (DER) such as diesel engines, micro turbines, fuel cells, photovoltaic, wind turbines, etc. The system is connected to a LV networks and in turn is connected to an upstream MV networks which forms part of the Distribution Management System (OMS). This project is to analyze and design software algorithms that can perform the modeling of DER, specificaIIy for wind power and price-sensitive loads for the economic scheduling. The scheduling must meet the customers' fixed and variable load requirements and the wind power constraints. Customers may bid for the supply of loads and may offer to shed low priority loads when prices increase. A unit commitment software program employing the LaGrange-Relaxation solution technique is used as a building block of the modeling software. The software program will be developed to solve the classical unit commitment scheduling problem with the wind power penetration.
author2 Gooi Hoay Beng
author_facet Gooi Hoay Beng
Wong, Lip Pang.
format Theses and Dissertations
author Wong, Lip Pang.
author_sort Wong, Lip Pang.
title Unit commitment for a smart energy distributed system
title_short Unit commitment for a smart energy distributed system
title_full Unit commitment for a smart energy distributed system
title_fullStr Unit commitment for a smart energy distributed system
title_full_unstemmed Unit commitment for a smart energy distributed system
title_sort unit commitment for a smart energy distributed system
publishDate 2010
url http://hdl.handle.net/10356/41729
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