Abstract: Systems and methods are provided for simulating traction power and control in transportation systems under design conditions and/or utilizing real-time data.

Abstract: A power control system utilizing real-time power system operating data to effectuate predictive load shedding so as to accurately predict the need for and the optimal type of responsive action to a contingency—before the contingency actually occurs.

Abstract: Disclosed are example embodiments of a system for power system simulation, the system comprising: a processor; and a memory. The memory is coupled to the processor. The memory including instructions that, when executed by the processor cause the system to: generate dynamic graphical simulation of a power system, receive an input from the user of the power system simulation, generate a realistic response to the input from the user, and provide the response to the user.

Abstract: Some embodiments relate to systems and methods for analyzing an electrical network. For example, a system for analyzing an electrical network may include a memory and a processor, coupled to the memory. The processor is configured to execute instructions from the memory causing the processor to: perform power system studies to improve system reliability and security using historical data of past power system operations, derive a data model of the power system using artificial intelligence, and using the data model and training with the power system analysis data to conduct analyses for predicting at least one of system behavior and forecasting applications, and report the at least one of system behavior and forecasting applications.

Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

Abstract: Disclosed are example embodiments of a system for providing remote management of asset and protection relays, including a memory and a processor, coupled to the memory. The processor is configured to execute instructions from the memory causing the processor to addresses data management, personnel training, systems integration, maintenance testing, documentation combined with change management workflows.

Abstract: Systems and methods are provided for simulating traction power and control in transportation systems under design conditions and/or utilizing real-time data.

Abstract: A power control system utilizing real-time power system operating data to effectuate predictive load shedding so as to accurately predict the need for and the optimal type of responsive action to a contingency—before the contingency actually occurs.

Abstract: Provided herein are embodiments of systems, devices, and methods for a digital collaborative system for electric, water and gas engineering and operations. The systems, devices, and methods include an automatic and intelligent synchronization of simultaneous and parallel project or digital twin modifications between multiple users in a collaborative environment that integrates utility engineering and operation teams.

Abstract: Provided are embodiments of systems, devices and methods for improved optimization of FHC using a swarm optimization based intelligent scenario selection from local search (small step) and global search (large step) experiences for faster and better FHC.

Abstract: A power control system utilizing real-time power system operating data to effectuate predictive load shedding so as to accurately predict the need for and the optimal type of responsive action to a contingency—before the contingency actually occurs.

Abstract: Systems and methods are provided for simulating traction power and control in transportation systems under design conditions and/or utilizing real-time data.

Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

Abstract: Systems and methods are provided for simulating traction power and control in transportation systems under design conditions and/or utilizing real-time data.

Abstract: A power control system utilizing real-time power system operating data to effectuate predictive load shedding so as to accurately predict the need for and the optimal type of responsive action to a contingency—before the contingency actually occurs.

Abstract: Systems and methods are provided for simulating traction power and control in transportation systems under design conditions and/or utilizing real-time data.

Abstract: A power control system utilizing real-time power system operating data to effectuate predictive load shedding so as to accurately predict the need for and the optimal type of responsive action to a contingency—before the contingency actually occurs.

Abstract: Systems and methods are provided for simulating traction power and control in transportation systems under design conditions and/or utilizing real-time data.

Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

Abstract: A power control system utilizing real-time power system operating data to effectuate predictive load shedding so as to accurately predict the need for and the optimal type of responsive action to a contingency—before the contingency actually occurs.