Optimal wind power location on transmission systems - a probabilistic load flow approach

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Title: Optimal wind power location on transmission systems - a probabilistic load flow approach
Authors: Burke, Daniel J.
O'Malley, Mark
Permanent link: http://hdl.handle.net/10197/3197
Date: 25-May-2009
Abstract: Renewable electrical energy grid connection is hampered by transmission capacity limitations and public opposition to new transmission development. This paper presents a methodology to find the optimal positions on an existing transmission system network to connect ‘firm’ wind capacity to reach desired renewable energy penetration targets in a secure, least-cost manner. The methodology accounts for geographical statistical dependencies of individual bus load and wind farm power outputs, as well as the temporal dependencies of the conventional plant unit-commitment process on total system load and wind patterns. This is accomplished using a probabilistic load flow technique based on DC load-flow and recorded load and wind time series. A discretised model of the resultant multi-dimensional probability density function is used to define line flow constraints in a linear programming optimization model. The algorithm objectively allocates wind capacity with respect to the wind resource and transmission capacity in each area.
Funding Details: Science Foundation Ireland
Other funder
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2009 IEEE
Keywords: Linear programming;Power system planning;Power transmission;Probabilistic load flow;Time series;Wind energy
Subject LCSH: Linear programming
Electric power systems--Planning
Electric power transmission
Wind power
Language: en
Status of Item: Peer reviewed
Is part of: Proceedings of the Tenth International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2008)
Conference Details: Paper presented at the Tenth International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2008), Puerto Rico, 25-29 May 2008
Appears in Collections:ERC Research Collection
Electrical and Electronic Engineering Research Collection

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