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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Van Horn, K.E. Dominguez-Garcia, A.D. Sauer, P.W. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Van Horn, K.E.; Dominguez-Garcia, A.D.; Sauer, P.W.) |
| Abstract | In this paper, we propose a measurement-based approach to the real-time economic dispatch (ED). The realtime ED is a widely used market scheduling problem seeking to economically balance electricity system supply and demand and provide locational marginal prices (LMPs) while respecting system reliability requirements. The ED is a convex optimization problem with a linear or quadratic objective, typically the minimization of generator costs or the maximization of social surplus. The constraints capture power balance and network flow capacity limits and are formulated using a linearized power flow model. Our approach utilizes power system sensitivities estimated from phasor measurement unit (PMU) measurements to reformulate the model-based power flow and network flow constraints. The resulting measurement-based real-time ED overcomes the vulnerabilities of the model-based real-time ED. The dispatch instructions and LMPs calculated with our measurement-based real-time ED accurately, and adaptively, reflect real-time system conditions. We illustrate the strengths of the proposed approach via several case studies. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 381123 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467380409 |
| DOI | 10.1109/PESGM.2015.7286091 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real-time systems Power measurement Generators Sensitivity Phasor measurement units Data models Time measurement |
| Content Type | Text |
| Resource Type | Article |
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