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| 01-01 | Computer Simulation of Cascading Disturbances in Electric Power Systems
The restructuring of electricity
industry has renewed concerns about
wide-area disturbances due to their
increasing economic and social costs.
Hidden failures in power protection
systems play significant roles in
propagating these disturbances.
Through computer simulations, we
analyze the impact of consecutive
relaying malfunctions and define the
protection system vulnerability and
reliability to numerically characterize
this impact. A heuristic random search
algorithm is developed for fast rare-
event simulation of cascading outages.
An optimal system upgrading strategy is
proposed for the economical enhancement
of protection system reliability under
limited budget. We examine these
techniques in a case study of New York
Power Pool (NYPP) 3000-bus system.
This is the final report for the
PSERC project. | Hongye Wang and James S. Thorp | 11/27/2002 | 279.5k | PDF |
| 01-02 | CPFLOW for Power Tracer and Voltage Monitoring
This report describes CPFLOW (Continuation Power Flow), a comprehensive software tool for tracing power system steady-state behaviors due to large or small variations in loads, generation, transactions, interchanges, and imports and exports. CPFLOW is designed for the analysis of large-scale power systems and can trace a solution curve through the ‘nose’ point without the numerical difficulties of repeated power flow solvers. CPFLOW can be used in a variety of applications for power system analyses (such as monitoring voltage behaviors, calculating transfer capabilities, etc.) and for analysis of transactions and transmission services.
This is the final report for the Voltage Collapse Monitor project. | Hsiao-Dong Chiang and Hua Li | 4/3/2003 | 273.0k | PDF |
| 01-05 | Automated Operating Procedures for Transfer Limits
A Modern Energy Management System (EMS) provides sophisticated online security analysis applications to assist operators in ensuring that the power system can survive credible contingencies. Still in current practice, system operators generally refer to written operating procedures to establish system constraints, particularly in regards to transfer limits across major interties. The limits are based on numerous power system studies that represent the stressed system and satisfy specific performance criteria following select contingencies. The relations between these critical paths and operating conditions are tabulated and often plotted as nomograms. With such a simplified view of system conditions, the operator is unable to have a complete understanding of operational limits. Thus, transfer ratings are typically conservative, as studies are based on highly stressed system conditions, and incomplete, as studies cannot analyze all combinations of equipment out-of-service. This study investigates some approaches to improving such operator procedures.
Results demonstrate the ability of neural net estimators, trained off-line, to estimate margins in real-time.
This is the project's final report. | Liqiang Chen, Kevin Tomsovic and Anjan Bose | 6/10/2003 | 1.7M | PDF |
| 01-16 | Electric Transmission Line Flashover Prediction System
Near industrial, agricultural, or coastal areas, contamination is a frequent cause of insulator flashover, most cases of which result in lengthy service interruptions. Laboratory studies and industrial experience have shown that both contamination and wetting of insulator surfaces, which initiate the flow of leakage current, are required for insulator flashover. The leakage current leading to flashover has distinctive stages of development. Flashover is preceded by dry-band arcing and extension of the arc to bridge the insulator. This combination significantly modifies both the magnitude and shape of the leakage current. A condition-based monitoring (CBM) system that monitors the easily measurable insulator leakage current as a means of assessing pollution severity and would possibly predict an approaching flashover. The overall aim of this project is the development of a system that monitors pollution build-up through the signature changes in the leakage current and alerts an operator when there is a danger of flashover.
This Ph.D. thesis is the final report in the Electrical Transmission Line Insulator Flashover Predictor project with George Karady as the project leader. | Felix Amarh | 4/3/2003 | 5.4M | PDF |
| 01-21 | Simulation of Top-Oil Temperature for Transformers
This Masters thesis describes a software tool TOTPS (top-oil temperature prediction system) developed to predict the top-oil temperature and maximum load a transformer is capable of carrying. This is also the final report from the project "On-Line Peak Loading of Substation Distribution Transformers Through Accurate Temperature Prediction," Don Tylavsky project leader. | Yong Liang | 11/27/2002 | 788.5k | PDF |
| 01-28 | Analysis and Design of Power Acceptability Curves for Industrial Loads
The main objectives of this research are the analysis, extension, understanding
and modification of the power acceptability curves (e.g., the Computer Business Equipment
and Manufacturers Association or CBEMA curve and Information Technology Industry
Council or the ITIC curve) to permit accurate application in the case of three phase
loads. This masters thesis also serves as a final report for the project "Redesign and New Interpretation of Power Acceptability Curves for Three Phase Loads" with Jerry Heydt, Project Leader. | John Kyei | 11/27/2002 | 496.5k | PDF |
| 01-34 | Electric Power Transfer Capability: Concepts, Applications, Sensitivity, Uncertainty
This report explains tutorial and research material on transfer capability,
particularly calculations involving sensitivity and uncertainty
and generalizing DC load flow methods.
You can now use the web site associated with the document at
http://www.pserc.cornell.edu/tcc/
to interactively calculate transfer capabilities on sample power systems.
This report was produced by collaboration between PSerc
and Laurits R. Christensen Associates as part of a project funded
by the NSF Research Centers - Small Firms Collaborative R&D
Initiative. | Ian Dobson, Scott Greene, Rajesh Rajaraman, Chris DeMarco, Fernando Alvarado, Mevludin Glavic, Jianfeng Zhang, Ray Zimmerman | 4/3/2003 | 1.4M | PDF |
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