Short-Term Estimation of Transmission Reliability Margin Using Artificial Neural Networks
This paper proposes a novel approach for estimation of transmission reliability margin (TRM) by using artificial neural networks (ANN). The laws of deregulated electricity industry have made mandatory to publish the hourly available transfer capability (A
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Abstract This paper proposes a novel approach for estimation of transmission reliability margin (TRM) by using artificial neural networks (ANN). The laws of deregulated electricity industry have made mandatory to publish the hourly available transfer capability (ATC) values for planning, reliability, and secure system operation. Hence the accurate determination of ATC values is of utmost importance, but is challenging as well. ATC comprises of marginal values such as TRM and capacity benefit margin (CBM) with the existing commitments (EC). Since TRM itself is composed of factors like network parameters, load changes, outages; it not only helps in accurate determination of ATC, but also plays a vital role in system congestion management. Therefore, this paper emphasizes on a method of determination of TRM. The tool used is ANN with back propagation algorithm (BPA) radial basis function (RBF). This work is based on the data of Alberta electric system operator, Canada.
Keywords Artificial neural networks Deregulated power system operation Transmission reliability margin Congestion management
V. Khatavkar Bharati Vidyapeeth Deemed University College of Engineering, Pune, India e-mail: [email protected] V. Khatavkar D. Swathi PES Modern College of Engineering, Pune, India e-mail: [email protected] H. Mayadeo (&) Black & Veatch (P.) Ltd., Pune, India e-mail: [email protected] A. Dharme Govt. College of Engineering, Pune, India e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2018 M.S. Reddy et al. (eds.), International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications, Advances in Intelligent Systems and Computing 628, https://doi.org/10.1007/978-981-10-5272-9_2
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1 Introduction The deregulated and restructured environment of the power system is enabling power transactions from various generating stations to diverse customers. This facility helps the power producers to generate more energy from the cheaper source for greater profit margins. It also helps customers for choosing more reliable and cheaper power. Although the power producers and customers are different, both of them utilize the same transmission network. Because of all the power transactions from point of production to point of utilization take place simultaneously cause contingency and congestion on transmission network. Power wheeling transactions within the same zone is slightly easier for forecasting and planning as compared to interzone transactions. For making interzone transactions safe and secure the timely posting of cross-border capacities become indispensable. Cross-border capacities of an interconnected system can be labeled as available transfer capabilities in interconnected system. Available transfer capability (ATC) is made available to all utilities through open access information system (OASIS), so that further committed loads can be interfaced ensuring the system security. This provides a signal to the market participants about the capability of
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