Fuzzy Web Platform for Electrical Energy Losses Management
Recently, electricity distribution companies have already done many investments to identify and calculate energy losses along the distribution network. Although these big efforts, most approaches for clearly identifying and solving the related problems st
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Fuzzy Web Platform for Electrical Energy Losses Management Gaspar Gonc¸alves Vieira, Maria Leonilde R. Varela, and Rita A. Ribeiro
Abstract Recently, electricity distribution companies have already done many investments to identify and calculate energy losses along the distribution network. Although these big efforts, most approaches for clearly identifying and solving the related problems still remain rather inefficient. The accurate identification and the precise calculation of electricity losses enables the clear specification of the critical points and segments in the networks and, consequently, the effective prioritization of actions and interventions in order to reduce those electricity losses and problems. Moreover, the work already performed on this issue, the existing approaches focus mainly on empirical and probabilistic data. Hence, there is still a clear gap between real information and the considered one, which tends to be poor and imprecise. Due to this reality and the lack of appropriate software applications, in this paper we propose a web platform for the management of the whole network of electricity distribution, from medium voltage (MV) down to low voltage (LV), including billing on the transformation centers (TCs), electricity losses calculation and proposals for solving actions, by means of a fuzzy decision-making model. Keywords Electricity • Distribution network • Fuzzy • Based decision • Support system • Information and losses management
G.G. Vieira • M.L.R. Varela (*) Department of Production and Systems, School of Engineering, University of Minho, Azure´m Campus, 4800-058 Guimara˜es, Portugal e-mail: [email protected]; [email protected] R.A. Ribeiro Department of Electronic Engineering, Faculty of Engineering, FCT/UNL, Monte de Caparica, Portugal e-mail: [email protected] A. Madureira et al. (eds.), Computational Intelligence and Decision Making: Trends and 191 Applications, Intelligent Systems, Control and Automation: Science and Engineering 61, DOI 10.1007/978-94-007-4722-7_18, # Springer Science+Business Media Dordrecht 2013
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Introduction
During the last decades electricity distribution companies have developed several improvements to their power distribution systems. Due to the high costs involved in the electricity generation, transmission and distribution, the efficient usage of the available energy along with the efficient management of the network are fundamental issues to be tackled. Furthermore, concerns with environmental issues must also be considered during the management and decisions processes. Companies are aware of the strong competition they are currently facing, largely driven by the liberalization of the electricity markets. Energy efficiency measures can represent the difference between having power quality at affordable prices, or having energy shortages and/or with poor quality. Another big concern is how to minimize network energy losses. This leads not only to higher revenues, but also to improvement on the quality of t
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