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: 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: Dynamic parameter tuning using particle swarm optimization is disclosed. According to one embodiment, a system for dynamically tuning parameters comprising a control unit; and a system for receiving parameters tuned by the control unit. The control unit receives as input a model selection and definitions, and dynamically tunes a value for each parameter by using a modified particle swarm optimization method. The modified particle swarm optimization method comprises moving particle locations based on a particle's inertia, experience, global knowledge, and a tuning factor. The control unit outputs the dynamically tuned value for each parameter.

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 are embodiments of systems, devices and methods to create and visualize an arc-flash incident energy or arc fault thermal energy on a TCC plot. In some embodiments, the system may use an area shape or region (of any form) on a TCC plot. The bounded area may represent a reference constant or variable arc fault energy or arc flash incident energy value.

Abstract: A system for estimating faulted area in an electric distribution system. The system includes a database storing input data, a fault detection module to estimate, based on the input data, if a new faulted area estimation process is required, a condition estimation module to estimate condition of metered protective devices, un-metered protective devices, and metered devices (PMDs), an upstream to downstream module to assess condition of each metered protective device, un-metered protective device, and metered device (PMD), starting from a feeder circuit breaker towards feeder downstream, to estimate a tripped protective device and a last metered device upstream of a fault, and a downstream to upstream module configured to assess outaged electric loads or elements towards network upstream to find the common interrupting protective device.

Abstract: A system for estimating faulted area in an electric distribution system. The system includes a database storing input data, a fault detection module to estimate, based on the input data, if a new faulted area estimation process is required, a condition estimation module to estimate condition of metered protective devices, un-metered protective devices, and metered devices (PMDs), an upstream to downstream module to assess condition of each metered protective device, un-metered protective device, and metered device (PMD), starting from a feeder circuit breaker towards feeder downstream, to estimate a tripped protective device and a last metered device upstream of a fault, and a downstream to upstream module configured to assess outaged electric loads or elements towards network upstream to find the common interrupting protective device.

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: Dynamic parameter tuning using particle swarm optimization is disclosed. According to one embodiment, a system for dynamically tuning parameters comprising a control unit; and a system for receiving parameters tuned by the control unit. The control unit receives as input a model selection and definitions, and dynamically tunes a value for each parameter by using a modified particle swarm optimization method. The modified particle swarm optimization method comprises moving particle locations based on a particle's inertia, experience, global knowledge, and a tuning factor. The control unit outputs the dynamically tuned value for each parameter.

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: Dynamic parameter tuning using particle swarm optimization is disclosed. According to one embodiment, a system for dynamically tuning parameters comprising a control unit; and a system for receiving parameters tuned by the control unit. The control unit receives as input a model selection and definitions, and dynamically tunes a value for each parameter by using a modified particle swarm optimization method. The modified particle swarm optimization method comprises moving particle locations based on a particle's inertia, experience, global knowledge, and a tuning factor. The control unit outputs the dynamically tuned value for each parameter.

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: A system for estimating faulted area in an electric distribution system. The system includes a database storing input data, a fault detection module to estimate, based on the input data, if a new faulted area estimation process is required, a condition estimation module to estimate condition of metered protective devices, un-metered protective devices, and metered devices (PMDs), an upstream to downstream module to assess condition of each metered protective device, un-metered protective device, and metered device (PMD), starting from a feeder circuit breaker towards feeder downstream, to estimate a tripped protective device and a last metered device upstream of a fault, and a downstream to upstream module configured to assess outaged electric loads or elements towards network upstream to find the common interrupting protective device.