Burke, Daniel J.Daniel J.BurkeO'Malley, MarkMarkO'Malley2011-09-302011-09-302009 IEEE2009-05-25978-1-934325-21-6http://hdl.handle.net/10197/3197Paper presented at the Tenth International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2008), Puerto Rico, 25-29 May 2008Renewable 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.257113 bytes1072 bytesapplication/pdftext/plainenPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Linear programmingPower system planningPower transmissionProbabilistic load flowTime seriesWind energyLinear programmingElectric power systems--PlanningElectric power transmissionWind powerConference Publicationhttps://creativecommons.org/licenses/by-nc-sa/1.0/