Optimal wind power location on transmission systems - a probabilistic load flow approach
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|Burke&OMalley PMAPS PuertoRico May 2008.pdf||251.09 kB||Adobe PDF||Download|
|Title:||Optimal wind power location on transmission systems - a probabilistic load flow approach||Authors:||Burke, Daniel J.
|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
|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
|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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