Technical Note Wind generation modelling to help the managerial process of modern transmission systems François Vallée * , Jacques Lobry, Olivier Deblecker Université de Mons, Faculté Polytechnique, Electrical Engineering Department, Bvd. Dolez 31, B 7000 Mons, Belgium article info Article history: Received 17 February 2010 Accepted 10 October 2010 Keywords: Transmission system Wind generation Network reinforcement Investments Reliability abstract In this paper, a strategy is proposed in order to introduce in a realistic way wind generation into a transmission power system non sequential Monte Carlo adequacy study with economic dispatch. Thanks to the implemented solution, wind generation is consequently confronted to operational constraints related to high powered thermal units, nuclear parks or thermal machines with technical minimum value. Moreover, during each simulated system state, a DC load flow is also calculated in order to evaluate reinforcements optimizing the large scale integration of wind power production. The simulation tool modified during the present work is called ScannerÓ and is the property of Tractebel Engineering (Gaz de France e Suez) company. It has been here applied to an academic test system: the Roy Billinton Test System (RBTS). Ó 2010 Elsevier Ltd. All rights reserved. 1. Introduction Each investment scenario on a given electrical transmission system must ensure a quality service at the lowest cost. In order to answer this major issue of modern networks, it is necessary to compute a faithful representation of the transmission system. Therefore, a solution computing a large number of system states must be developed. In that way, statistical analysis by means of a Monte Carlo simulation [1e3] can precisely model the electrical system life thanks to a large set of representative states and consequently permits to obtain coherent exploitation cost and reliability indices for each studied network. In a near future, stochastic electrical production and, more specially wind genera- tion, is expected to play an important role in power systems. Therefore, in order to capture the benefits of wind power, the rules and methods governing the planning and operation of the trans- mission network will need to be optimized. In that context, adequacy studies integrating wind generation have been exten- sively developed for the load covering capability without consid- ering transmission systems constraints [1,4]. From the transmission point of view, reliability studies taking into account transmission constraints have been recently introduced in order to evaluate reinforcements associated to large scale wind farms integration [5,6]. However, those studies were requiring the use of large computer resources and were not considering eventual operation constraints on classical generation units. In the present study, as reliability and reinforcement analysis are long term studies, the simulation tool ScannerÓ [7], developed by Tractebel Engineering and based on a non sequential Monte Carlo approach, is modified. In that way, a strategy is here proposed in order to conveniently introduce wind generation in the existing non sequential envi- ronment and to evaluate operating and transmission constraints impact under increased wind penetration. Finally, note that, if ScannerÓ is an in-house developed software that can only be used by Tractebel Engineering, the strategy proposed in order to realis- tically integrate wind generation into transmission system adequacy studies could be easily transposed to another technico- economical analysis simulation tool that would be based on a non sequential Monte Carlo approach. This paper is organized as follows. In the first part, the existing program ScannerÓ is presented. Then, the methodology used to introduce wind generation is explained. Thirdly, wind impact on reliability and reinforcement analysis in transmission systems is computed using an academic test system: the slightly modified Roy Billinton Test System (RBTS) [8]. Finally, a conclusion is drawn and summarizes the major results collected thanks to the introduction of wind generation into transmission system analysis software that takes into account operational and transmission constraints. * Corresponding author. E-mail addresses: francois.vallee@umons.ac.be (F. Vallée), jacques.lobry@umons. ac.be (J. Lobry), olivier.deblecker@umons.ac.be (O. Deblecker). Contents lists available at ScienceDirect Renewable Energy journal homepage: www.elsevier.com/locate/renene 0960-1481/$ e see front matter Ó 2010 Elsevier Ltd. All rights reserved. doi:10.1016/j.renene.2010.10.010 Renewable Energy 36 (2011) 1632e1638