Title:
Power line sensor networks for enhancing power line reliability and utilization

dc.contributor.advisor Divan, Deepakraj M.
dc.contributor.advisor Harley, Ronald G.
dc.contributor.author Yang, Yi en_US
dc.contributor.committeeMember J. Rhett Mayor
dc.contributor.committeeMember Santiago Grijalva
dc.contributor.committeeMember Habetler, Thomas G.
dc.contributor.committeeMember Ying Zhang
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2011-09-22T17:48:09Z
dc.date.available 2011-09-22T17:48:09Z
dc.date.issued 2011-05-20 en_US
dc.description.abstract Over the last several decades, electricity consumption and generation have continually grown. Investment in the Transmission and Distribution (T&D) infrastructure has been minimal and it has become increasingly difficult and expensive to permit and build new power lines. At the same time, a growing increase in the penetration of renewable energy resources is causing an unprecedented level of dynamics on the grid. Consequently, the power grid is congested and under stress. To compound the situation, the utilities do not possess detailed information on the status and operating margins on their assets in order to use them optimally. The task of monitoring asset status and optimizing asset utilization for the electric power industry seems particularly challenging, given millions of assets and hundreds of thousands of miles of power lines distributed geographically over millions of square miles. The lack of situational awareness compromises system reliability, and raises the possibility of power outages and even cascading blackouts. To address this problem, a conceptual Power Line Sensor Network (PLSN) is proposed in this research. The main objective of this research is to develop a distributed PLSN to provide continuous on-line monitoring of the geographically dispersed power grid by using hundreds of thousands of low-cost, autonomous, smart, and communication-enabled Power Line Sensor (PLS) modules thus to improve the utilization and reliability of the existing power system. The proposed PLSN specifically targets the use of passive sensing techniques, focusing on monitoring the real-time dynamic capacity of a specific span of a power line under present weather conditions by using computational intelligence technologies. An ancillary function is to detect the presence of incipient failures along overhead power lines via monitoring and characterizing the electromagnetic fields around overhead conductors. This research integrates detailed modeling of the power lines and the physical manifestations of the parameters being sensed, with pattern recognition technologies. Key issues of this research also include design of a prototype PLS module with integrated sensing, power and communication functions, and validation of the Wireless Sensor Network (WSN) technology integrated to this proposed PLSN. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/41087
dc.publisher Georgia Institute of Technology en_US
dc.subject Overhead power line en_US
dc.subject Power line sensor network en_US
dc.subject Smart power grid en_US
dc.subject Displacement current sensing en_US
dc.subject Dynamic thermal rating en_US
dc.subject High-voltage measurement en_US
dc.subject.lcsh Electric power distribution
dc.subject.lcsh Mathematical optimization
dc.subject.lcsh Sensor networks
dc.subject.lcsh Electric lines Monitoring
dc.title Power line sensor networks for enhancing power line reliability and utilization en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Divan, Deepakraj M.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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