Emergency Medicine PhysicianEmergency Medicine Physicians 365 Montauk Ave, New London, CT 06320 8604420711 (phone), 8604443733 (fax)
Education:
Medical School University of Connecticut School of Medicine Graduated: 2006
Languages:
English Spanish
Description:
Dr. Armstrong graduated from the University of Connecticut School of Medicine in 2006. He works in New London, CT and specializes in Emergency Medicine. Dr. Armstrong is affiliated with Lawrence Memorial Hospital and Stamford Hospital.
- Pullman WA, US Scott M. Manson - Moscow ID, US Benjamin E. Armstrong - Bend OR, US
Assignee:
Schweitzer Engineering Laboratories, Inc. - Pullman WA
International Classification:
G05B 17/02 G05F 1/66 G06F 17/50
Abstract:
The present disclosure relates to systems and methods of simulating a power system using field data. For example, an embodiment may include a processor operatively coupled to a memory. The processor may receive a power system model representative of an actual power system. The processor may receive field data from the actual power system. The processor may initialize the power system model based on the field data to represent a state of the actual power system. The processor may simulate at least one scenario on the power system model. The processor may provide results of simulating the at least one scenario.
- Pullman WA, US Scott M. Manson - Moscow ID, US Benjamin E. Armstrong - Pullman WA, US
Assignee:
Schweitzer Engineering Laboratories, Inc. - Pullman WA
International Classification:
H02J 3/14 G05B 13/04
Abstract:
The present disclosure describes load shedding management systems and methods. A load shedding management system may simulate multiple load shedding actions. Based on the simulations the load shedding management system may select a load shedding action. The load shedding management system may send a signal to trip a set of breakers to implement the load shedding action.
Electric Power Generator Selection, Shedding, And Runback For Power System Stability
- Pullman WA, US Benjamin E. Armstrong - Pullman WA, US Maaz Syed Muhammad Kazmi - Pullman WA, US
Assignee:
Schweitzer Engineering Laboratories, Inc. - Pullman WA
International Classification:
H02J 3/38 G05B 17/02
Abstract:
The present disclosure provides systems and methods for managing an electric power delivery system. The systems and methods may limit generated power of the power delivery system from surpassing a load demand, in order to avoid system instability. The systems and methods may receive an excess generation value and manage generators to runback and/or shed to maintain excess generation below a threshold. The systems and methods may determine a plurality of generator groups for runback. The runback capacity of the generators may be compared against the excess generation. If the excess generation is not greater than the runback capacity, the systems and methods may select generator groups until the runback capacity of the selected groups is greater than the excess generation, and may runback those generators according to runback set points. The unselected generators may continue normal operation to be available for another runback request.