ISU Electrical and Computer Engineering Archives

Risk based allocation of distribution system maintenance resources

Yeddanapudi, Sree Rama Kumar (2005) Risk based allocation of distribution system maintenance resources. Masters thesis, Iowa State University.

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Deregulation has brought about sea changes in the way power systems are designed and operated. Conventionally, distribution system assets have been maintained using methods that had little or no room for judgment based on failure phenomena of equipment. Various rules of thumb and fixed budgetary allocations have led to inefficient use of available resources resulting in lower levels of reliability and higher prices for customers. The advent of deregulation has however influenced the way various distribution system assets are maintained. Asset management has particularly been an area of active research to allow utilities optimize performance and achieve the best outcome for every dollar invested. The question then becomes where and when to invest the next dollar to achieve maximum benefit and how to quantify the benefits of maintenance. The thesis proposes a risk-based approach to facilitate the allocation of available resources to maintaining various distribution system assets. The proposed method advances the current state of the art in distribution system maintenance in that, it allocates maintenance resources for different equipment based on their probability and consequence of failure. A predictive reliability assessment tool that computes the effects of outages on various reliability metrics is developed. The tool can be used to compute the reliability indices of the system along with their sensitivities to maintenance of different distribution system assets. Combined with an optimizer, the reliability evaluation tool can be used by asset managers to assign resources to various maintenance projects and prioritize them based on the benefits obtained in terms improvement in reliability metrics.

EPrint Type:Thesis (Masters)
Uncontrolled Keywords:Distribution Systems, Reliability, Asset Management
Subjects:Electrical Engineering > ELECTRIC POWER & ENERGY SYSTEMS > Distribution System Automation and Reliability
Electrical Engineering > ELECTRIC POWER & ENERGY SYSTEMS > Power System Optimization for Operation and Planning, Decision and Risk Analysis
ID Code:202
Identification Number:Identification Number UNSPECIFIED
Deposited By:Sree Rama Kumar Yeddanapudi
Deposited On:29 November 2005

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