2016
DOI: 10.1016/j.renene.2015.07.019
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Coordinated generation and transmission expansion planning in deregulated electricity market considering wind farms

Abstract: a b s t r a c tThis paper deals with a coordinated generation expansion planning (GEP)etransmission expansion planning (TEP) in competitive electricity market. In the proposed method, GEP and TEP are performed at the same time, with consideration of wind farm uncertainty. The uncertainty is modeled by normal probability distribution function (PDF) and Monte-Carlo simulation (MCS) is used to include the uncertainty into the problem. The planning is managed for two master and slave levels. At slave level, all ge… Show more

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Cited by 86 publications
(45 citation statements)
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“…It should also be noted that, although the constraints in (16) are in the form of an equality, this can be transformed into an inequality constraint by the equality relaxation method. However, we do not discuss this in further detail here.…”
Section: Two-stage Rtep Methods Based On Extreme Wind Power Scenariosmentioning
confidence: 99%
“…It should also be noted that, although the constraints in (16) are in the form of an equality, this can be transformed into an inequality constraint by the equality relaxation method. However, we do not discuss this in further detail here.…”
Section: Two-stage Rtep Methods Based On Extreme Wind Power Scenariosmentioning
confidence: 99%
“…The first and second terms introduce the revenue of the generation unit and the transmission owners, respectively. Also, the costs of the generation unit and transmission owners are presented in the third and fourth terms, respectively . In this paper, the proposed model is solved from the investors' point of view.…”
Section: The Proposed Modelmentioning
confidence: 99%
“…Figure and Equation present the relationship between the wind speed and the output power of the wind unit. Moreover, the probability distribution function (PDF) of wind speed is expressed in , which follows the Weibull distribution . In this paper, stochastic programming, which is the common uncertainty management tool, is employed.…”
Section: The Proposed Modelmentioning
confidence: 99%
“…GEP has also been studied considering several objective functions such as minimizing planning cost [2,17], maximizing planning profit in deregulated electricity market [18], maximizing reliability [13], minimizing environmental pollution [19], and considering demand-side management programs [20]. As well, GEP has been investigated subject to various constraints such as reliability [3], environmental pollution [21], investment cost [22], and security [23].…”
Section: Introductionmentioning
confidence: 99%