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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Blumsack, S. Hines, P. Patel, M. Barrows, C. Cotilla Sanchez, E. |
| Copyright Year | 2009 |
| Description | Author affiliation: PJM Interconnection (Patel, M.) || Department of Energy and Mineral Engineering, Penn State University, University Park PA 16802, USA (Blumsack, S.; Barrows, C.) || School of Engineering, University of Vermont, Burlington, VT 05405, USA (Hines, P.; Cotilla Sanchez, E.) |
| Abstract | This paper describes new methods for dividing a power network into zones, such that buses are electrically close to other buses within zones. Defining zones based on electrical distance rather than asset ownership or historical affiliation has the potential to improve the utility of planning procedures, such as Load Deliverability Assessment, that are based on zone boundaries. The paper describes a set of metrics for the quality of a given zoning outcome and outlines methods that use these measures to produce improved zonal boundaries. Preliminary results from an exploratory study of the US Mid-Atlantic (PJM Interconnection) power grid illustrate the feasibility of the proposed approach. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 4979284 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424442416 |
| ISSN | 19449925 |
| DOI | 10.1109/PES.2009.5275353 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-26 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power measurement Electric variables measurement Testing Capacity planning Maintenance Costs Power system interconnection Power system planning Aggregates Collaborative tools power system planning Network clustering spectral clustering genetic algorithms electrical distance |
| Content Type | Text |
| Resource Type | Article |
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