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Topology error identification using a two-stage DC state estimator
Affiliation:1. MARUM, Center for Marine Environmental Sciences, University of Bremen, Germany;2. Department of Earth and Planetary Sciences, Hokkaido University, Japan;3. Department of Geosciences and Center for Geomechanics, Geofluids, & Geohazards, The Pennsylvania State University, University Park, PA, USA;1. Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai 600062, Tamilnadu, India;2. Department of Biotechnology, Anna Bio Research Foundation, Arunai Engineering College, Tiruvannamalai, Tamilnadu, India;3. Centre for Biotechnology, Anna University, Chennai 600025, Tamilnadu, India;1. Department of Geology and Geophysics, Yale University, New Haven, CT, USA;2. Department of Geological Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;3. Department of Geosciences, University of Arizona, Tucson, AZ, USA;4. Instituto Geofísico del Perú, Lima, Peru;1. Scripps Institution of Oceanography, San Diego, CA, USA;2. Arizona State University, Tempe, AZ, USA;3. University of Bristol, Bristol, UK;1. Real-Time Power and Intelligent Systems (RTPIS) Laboratory, The Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634, USA;2. School of Engineering, University of Kwazulu-Natal, Durban 4041, South Africa
Abstract:One of the fundamental tenets in deregulation of the power system is to provide fair and open access to transmission facilities. This requires that market participants, both power brokers and generation companies, have complete and timely information as to the transmission availability. The present system of posting available transmission capacities (ATC) is useful but limited because there is no information to predict how these ATCs will change with changing power transfers. It has been proposed that all traders have access to the real-time data of the full transmission model, i.e., state estimator results from the control centers, but this may be too complex and voluminous to be useful to the traders. Instead, making DC power flow data for real-time conditions may provide enough transmission data for traders to make knowledgeable decisions. In this paper, we show how the results of a DC state estimator can be accurately made available to all concerned.
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