Multi-attribute Partitioning of Power Networks Based on Electrical Distance Public Deposited

http://ir.library.oregonstate.edu/concern/articles/pv63g5147

This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE-Institute of Electrical and Electronics Engineers and can be found at:  http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59. ©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Identifying coherent sub-graphs in networks is important in many applications. In power systems, large systems are divided into areas and zones to aid in planning and control applications. But not every partitioning is equally good for all applications; different applications have different goals, or attributes, against which solutions should be evaluated. This paper presents a hybrid method that combines a conventional graph partitioning algorithm with an evolutionary algorithm to partition a power network to optimize a multi-attribute objective function based on electrical distances, cluster sizes, the number of clusters, and cluster connectedness. Results for the IEEE RTS-96 show that clusters produced by this method can be used to identify buses with dynamically coherent voltage angles, without the need for dynamic simulation. Application of the method to the IEEE 118 bus and a 2383 bus case indicates that when a network is well partitioned into zones, intra-zone transactions have less impact on power flows outside of the zone; i.e., good partitioning reduces loop flows. This property is particularly useful for power system applications where ensuring deliverability is important, such as transmission planning or determination of synchronous reserve zones.
Resource Type
DOI
Date Available
Date Issued
Citation
  • Cotilla-Sanchez, E., Hines, P. D. H., Barrows, C., Blumsack, S., & Patel, M. (2013). Multi-attribute partitioning of power networks based on electrical distance. IEEE Transactions on Power Systems, 28(4), 4979-4987. doi:10.1109/TPWRS.2013.2263886
Series
Keyword
Rights Statement
Funding Statement (additional comments about funding)
Publisher
Peer Reviewed
Language
Replaces

Relationships

In Administrative Set:
Last modified: 12/11/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items