The IEEE Board of Directors at its November 2021 meeting elevated V&R Energy’s founder and CIO, Michael Vaiman, to IEEE Fellow “for contributions to methods and software for real-time analysis and control of electric power systems”. Less than 0.1% of IEEE voting members are selected annually for this member grade elevation. Congratulations, Michael, on this...
DOE’s Office of Energy Efficiency and Renewable Energy, on behalf of the Water Power Technologies Office (WPTO), announced nine new national lab-directed projects to advance the HydroWIRES (Water Innovation for a Resilient Electricity System) Initiative. HydroWIRES aims to maximize hydropower’s contributions to a decarbonized, reliable, and resilient grid. V&R Energy is honored and excited to...
Marianna Vaiman, CEO of V&R Energy, will participate in the Late Breaking News super session “Resilience Framework, Methods, and Metrics for the Electricity Sector” at the IEEE PES General Meeting on Tuesday, July 27, 10:00 AM-12:00 PM ET (live). This panel, chaired by Shay Bahramirad – (Ph.D.), Quanta Technology, LLC, will bring leaders from the...
NASPI is a great forum for sharing ideas and experiences related to synchrophasor technology. We are excited to share our experiences in implementing two cutting-edge PMU-based systems – one for transmission system analysis and another one for distribution system analysis. Mohd Khairun Nizam Bin Mohd Sarmin, Head of the Power System Unit at TNB Research...
Automatically identifies system reconfiguration measures to mitigate voltage and thermal violations that could not be mitigated using other measures System reconfiguration measure is switching out lines and transformers
AC contingency analysis on 8000-bus case (after topology processing): 5,758,474 processed contingencies within one simulation run 49,228 critical contingencies found (e.g., contingencies resulting in one of the constraints being violated) Execution time: 02:46:51.6440713 (~0.00174 sec/contingency) or about 34.5k contingencies per minute
High Performance Adaptive Deep Reinforcement Learning (DRL) based Real Time Emergency Control to Enhance Power Grid Resilience in Stochastic Environments: Project team: PNNL, V&R Energy, Google and PacifiCorp Developing a DRL-based and analytical based hybrid emergency control method for transient stability preservation V&R Energy’s role: analytical approaches for generator tripping, load shedding and intentional islanding...
Real-time PMU-based distribution system analysis, including bad data detection, observability analysis, optimal PMU placement, distribution linear state estimation (DLSE), event detection based on machine learning FLISR, Volt VAR Optimization, DER Dispatch
Observing a trend across the utilities and ISOs to run massive N-1-1 and N-2 contingency analysis with automated remedial actions: Largest list seen so far is over 20 million contingencies in one simulation No screening – straight forward AC contingency analysis using full Newton method Integrated with automatic identification of remedial actions Contingency screening Implemented...
About 5 time faster than POM Suite/ROSE 2020
