Sensitivity-Based Pricing and Optimal Storage Utilization in Distribution Systems
In the deregulated power system, locational marginal prices (LMPs) are used in transmission engineering predominantly as near real-time pricing signals. This work extends this concept to distribution engineering by formulating a distribution LMP signal based on power flow sensitivities in a distribu...
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| Veröffentlicht in: | IEEE transactions on power delivery Jg. 28; H. 2; S. 1073 - 1082 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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New York, NY
IEEE
01.04.2013
Institute of Electrical and Electronics Engineers |
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| ISSN: | 0885-8977, 1937-4208 |
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| Abstract | In the deregulated power system, locational marginal prices (LMPs) are used in transmission engineering predominantly as near real-time pricing signals. This work extends this concept to distribution engineering by formulating a distribution LMP signal based on power flow sensitivities in a distribution system. A Jacobian-based sensitivity analysis has been developed for application in the distribution pricing method. Increasing deployment of distributed energy sources and storage devices is being seen at the distribution level and this trend is expected to continue. The optimal operation of the distributed infrastructure has been formulated as a multiobjective optimization problem and a solution algorithm has been developed that is based on the normal boundary intersection method. A parallel processing environment has been used to replicate the distributed nature of controls at many points in the distribution system. The Roy Billinton Test System has been used to demonstrate the applications. |
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| AbstractList | In the deregulated power system, locational marginal prices (LMPs) are used in transmission engineering predominantly as near real-time pricing signals. This work extends this concept to distribution engineering by formulating a distribution LMP signal based on power flow sensitivities in a distribution system. A Jacobian-based sensitivity analysis has been developed for application in the distribution pricing method. Increasing deployment of distributed energy sources and storage devices is being seen at the distribution level and this trend is expected to continue. The optimal operation of the distributed infrastructure has been formulated as a multiobjective optimization problem and a solution algorithm has been developed that is based on the normal boundary intersection method. A parallel processing environment has been used to replicate the distributed nature of controls at many points in the distribution system. The Roy Billinton Test System has been used to demonstrate the applications. |
| Author | Sathyanarayana, B. R. Heydt, G. T. |
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| Cites_doi | 10.1109/59.544626 10.1109/61.368364 10.1109/PES.2010.5589509 10.1109/TPWRS.2010.2051168 10.1109/MPER.2002.4312344 10.1109/TPWRD.2007.910990 10.1049/ip-c.1992.0069 10.1109/HICSS.2004.1265164 10.1109/PES.2008.4596843 10.1109/PSCE.2006.296271 10.1109/TPWRS.2012.2187686 10.1109/TPWRS.2011.2175254 10.1007/978-1-4757-3417-1 |
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| Keywords | Deregulation Power system economics Optimization method Multiobjective programming Jacobi matrix Distributed storage resources Load flow Roy Billinton Test System multiobjective optimization Power flow Pricing Optimal operation power distribution engineering Parallel processing Power markets Time signal Distribution network real-time pricing locational marginal prices (LMPs) Sensitivity analysis distribution system control Distribution cost Algorithm Smart grid Energy source Sensitivity Electrical network Distributed control Economic aspect Tariffication Marginal cost Energy storage |
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| References | ref13 ref12 ref15 (ref20) 0 ref14 ref22 ref10 miettinen (ref16) 1999 fu (ref9) 2006 ref1 ref19 das (ref17) 1996 ref7 viawan (ref2) 2006 mamo (ref4) 2008 wood (ref11) 1996 ref3 ref6 ref5 (ref8) 2008 (ref21) 0 stefanov (ref18) 2001 (ref23) 0 (ref24) 0 |
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| SubjectTerms | Applied sciences Direct energy conversion and energy accumulation Distributed storage resources distribution system control Electrical engineering. Electrical power engineering Electrical machines Electrical power engineering Energy accumulation Energy storage Equations Exact sciences and technology locational marginal prices (LMPs) Mathematical model Miscellaneous multiobjective optimization Operation. Load control. Reliability Optimization parallel processing power distribution engineering Power networks and lines Reactive power real-time pricing Regulation and control Roy Billinton Test System Sensitivity sensitivity analysis smart grid Vectors |
| Title | Sensitivity-Based Pricing and Optimal Storage Utilization in Distribution Systems |
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