Electric power transmission network design for wind generation in the Western United States: Algorithms, methodology, and analysis

The current electric power grid is a result of incremental growth over the past 100 years under assumptions that a grid provides reliable and controllable generation of energy cheaply and with limited environmental impact. Moving into the twenty-first century, many of these assumptions will no longe...

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Hauptverfasser:	Toole, G Loren, Fair, Matthew, Berscheid, Alan, Bent, Russell
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Cost function generation expansion planning Hybrid power systems Mesh generation Power generation Power systems simulation optimization Smart grids Solar power generation transmission expansion planning Wind energy generation wind generation Wind power generation
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creator	Toole, G Loren Fair, Matthew Berscheid, Alan Bent, Russell
description	The current electric power grid is a result of incremental growth over the past 100 years under assumptions that a grid provides reliable and controllable generation of energy cheaply and with limited environmental impact. Moving into the twenty-first century, many of these assumptions will no longer hold; the existing grid is ill-equipped to handle the new requirements that it is being subjected to. This paper presents a novel hybridization algorithm to upgrade the existing electric power network to feasibly achieve future renewable energy generation goals. The algorithm was integrated with state-of-the-art electric power analysis approaches to produce feasible transmission networks to accommodate 20% wind power by 2030 goals.
doi_str_mv	10.1109/TDC.2010.5484549
format	Conference Proceeding
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subjects	Algorithm design and analysis Cost function generation expansion planning Hybrid power systems Mesh generation Power generation Power systems simulation optimization Smart grids Solar power generation transmission expansion planning Wind energy generation wind generation Wind power generation
title	Electric power transmission network design for wind generation in the Western United States: Algorithms, methodology, and analysis
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