Engineering Commons^™

Role Of Protective Relaying In The Smart Grid, J. Anderson, Alex Apostolov, R. Fowler, J. Gers, R. Kazimier, S. Klecker, Yuan Liao, M. Majidi, P. Myrda, T. Raffield

Electrical and Computer Engineering Presentations

This paper discusses the role of protective relaying in a Smart Grid. It outlines the definition, attributes, and benefits of a Smart Grid. The role that protective relays can play in implementing Smart Grid functionality and the impact that a Smart Grid design may have on modern protective relays is discussed. Specific examples of Smart Grid applications that may be implemented using modern protective relays and other intelligent electronic devices are provided.

Geomagnetic Disturbances (Gmd) Impacts On Protection Systems, Qun Qiu, V. Madani, Tapan Manna, T. Raffield, S. Klecker, Yuan Liao, S. Meliopoulos, D. Fontana

Electrical and Computer Engineering Presentations

This paper provides background and historical events of Geomagnetic Disturbances (GMD), and reviews GMD impacts on power systems equipment, and associated protection and control systems, mitigating measures, and Geomagnetic Induced Current (GIC) monitoring methods. This paper is a summary of the IEEE PES-TR72 report, titled, GMD Impacts on Protection Systems, prepared by the K17 Working Group of the IEEE Power System Relaying and Control committee.

Application Of Artificial Neural Networks To Power System State Estimation, James P. Carmichael, Yuan Liao

Electrical and Computer Engineering Presentations

State estimation function is essential for effective and timely execution of power system automation and control systems, especially in modern active distribution systems where more intermittent renewable energy systems are integrated into the grid. Distribution system state estimation faces a lot of challenges including lack of monitoring devices and possible incorrect topology information. Developing efficient state estimation for distribution systems is thus of great interest. This paper presents results on utilizing artificial neural networks for this purpose.

Artificial neural networks have been used in power distribution system state estimation. However, there is a lack of systematic analysis and study of …

Zip Load Modeling For Single And Aggregate Loads And Cvr Factor Estimation, Yiqi Zhang, Yuan Liao, Evan S. Jones, Nicholas Jewell, Dan M. Ionel

Electrical and Computer Engineering Presentations

ZIP load modeling has been used in various power system applications. The aggregate load modeling is common practice in utility companies. However, little research has been done on the theoretical formulation of the aggregate load. This paper formulates the aggregate ZIP load model using the single ZIP load model. The factors that may affect aggregate ZIP load estimation are studied. Common ZIP parameter estimation methods including least squares method, optimization method and neural network method have been used in this paper to estimate ZIP parameters. The case studies are based on the IEEE 13-bus and 34-bus system built in OpenDSS. …

Modeling And Simulation Of Manufacturing Systems Under Signal Kanban Policies, Lawrence E. Holloway

Electrical and Computer Engineering Presentations

A signal kanban system is used to order the production of various parts by processes with lengthy setup times, such as in metal stamping or injection molding. In this paper, we explore the behavior of signal kanban systems using simulations of systems producing two part types. Such simple models allows a visualization of the changes in the inventories of these parts under the signal kanban system. We consider the operation of the common fixed-batch signal kanban system, and a variation that we refer to as a fixed-fill policy. These policies are investigated under variations in demand, occasional disruptions in production, …