RETRACTED ARTICLE: Adapting project management method and ANFIS strategy for variables selection and analyzing wind turb
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Adapting project management method and ANFIS strategy for variables selection and analyzing wind turbine wake effect ´ ojbasˇic´ Dalibor Petkovic´ • Siti Hafizah Ab Hamid • Zˇarko C Nenad T. Pavlovic´
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Received: 10 March 2014 / Accepted: 12 April 2014 Springer Science+Business Media Dordrecht 2014
Abstract We present a project management methodology designed for the selection of wind turbines wake effect most influential parameters, who need to run wind farm project for large energy conversion. Very frequently, the managers of these projects are not project management professionals, so they need guidance to have autonomy, using minimal time and documentation resources. Therefore, agile method is adapted to assist the project management. Wind energy poses challenges such as the reduction in the wind speed due to the wake effect by other turbines. If a turbine is within the area of turbulence caused by another turbine, or the area behind another turbine, the wind speed suffers a reduction and, therefore, there is a decrease in the production of electricity. In order to increase the efficiency of a wind farm, analyzing the parameters, which have influence on the wake effect, is one of the focal research areas. To maximize the power produced in a wind farm, it is important to determine and analyze the most influential factors on the wake effects or wake wind speeds since the effect has most influence on the produced power. This procedure is typically called variable selection, and it corresponds to finding a subset of the full set of recorded variables that exhibits good predictive abilities. In this study, architecture for modeling complex systems in function approximation and regression was used, based on using adaptive neuro-fuzzy inference system (ANFIS). Variable searching using the ANFIS network was performed to determine how the five parameters affect the wake wind speed. Our article answers the call for renewing the theoretical bases of wind farm project management in order to overcome the problems that stem from the application of methods based on decision-rationality norms, which bracket the complexity of action and interactions in projects.
´ ojbasˇic´ N. T. Pavlovic´ D. Petkovic´ (&) Zˇ. C Department for Mechatronics and Control, Faculty of Mechanical Engineering, University of Nisˇ, Aleksandra Medvedeva 14, 18000 Nis, Serbia e-mail: [email protected] S. H. Ab Hamid Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia
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Nat Hazards
Keywords selection
Wind turbine ANFIS Project management Wake effect Variable
1 Introduction The project management field experiences a revolution with two main drivers. The first driver is a practical reconsideration of prescriptions rooted in the rationality of decision theory, which seem to generate technical and commercial failures, internal and external conflicts, and inadequate responses to unexpected events. Project practitioners respond to these shortcomings by proposing new approaches, suc
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