Abstract: Systems and methods for making real-time predictions about an arc flash event on an electrical system are disclosed. A virtual system model database is operable for providing a virtual system model for the electrical system and continuously update the virtual system model with real-time data from the electrical system. An analytics server comprises an arch flash simulation engine. The arch flash simulation engine is operable to modify the virtual system model to introduce a short-circuit feature to an uninterrupted power supply bypass circuit branch; choose a standard to supply equations used for arc flash event simulation and energy calculation; simulate an arc flash event utilizing the modified virtual system model; calculate a quantity of arc energy released by the arc flash event using results from the simulation; and communicate a report that forecasts an aspect of the arc flash event.

Abstract: Systems and methods for making real-time predictions about an arc flash event on an electrical system are disclosed. A virtual system model database is operable for providing a virtual system model for the electrical system and continuously update the virtual system model with real-time data from the electrical system. An analytics server comprises an arch flash simulation engine. The arch flash simulation engine is operable to modify the virtual system model to introduce a short-circuit feature to an uninterrupted power supply bypass circuit branch; choose a standard to supply equations used for arc flash event simulation and energy calculation; simulate an arc flash event utilizing the modified virtual system model; calculate a quantity of arc energy released by the arc flash event using results from the simulation; and communicate a report that forecasts an aspect of the arc flash event.

Abstract: Systems and methods for model-based demand response are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The data acquisition component is operable to acquire and transmit real-time data from a demand response (DR) power network to the analytic server. The virtual system model database is operable to provide a virtual system model of the DR power network. The analytics server is operable to generate predicted data based on the virtual system model of the DR power network and update the virtual system model in real time based on a difference between the predicted data and the real-time data. The analytics server is further operable to optimize DR output of the DR power network to a power grid.

Abstract: A system for making real-time predictions about an arc flash event on an electrical system comprises a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system; an analytics server communicatively connected to the data acquisition component and comprising a virtual system modeling engine configured to generate predicted data output for the electrical system using a virtual system model of the electrical system, an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, and an arc flash simulation engine configured to use the virtual system model updated based in the real-tune data to forecast an aspect of the arc flash event.

Abstract: Systems and methods for making real-time predictions about an arc flash event on an electrical system are disclosed. A virtual system model database is operable for providing a virtual system model for the electrical system and continuously update the virtual system model with real-time data from the electrical system. An analytics server comprises an arch flash simulation engine. The arch flash simulation engine is operable to modify the virtual system model to introduce a short-circuit feature to an uninterrupted power supply bypass circuit branch; choose a standard to supply equations used for arc flash event simulation and energy calculation; simulate an arc flash event utilizing the modified virtual system model; calculate a quantity of arc energy released by the arc flash event using results from the simulation; and communicate a report that forecasts an aspect of the arc flash event.

Abstract: Systems and methods for predicting power output from photo-voltaic power generation resources are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The analytics server is operable to receive real-time data via the data acquisition component from an electrical system comprising photo-voltaic power generation resources; generate predicted data based on a virtual model of the electrical system provided by the virtual system model database; continuously and automatically synchronize the virtual model with the electrical system based on a difference between the real-time data and the predicted data; receive solar irradiance forecast data; and forecast a power output of the photo-voltaic power generation resources based on the virtual model and the solar irradiance forecast data. The photo-voltaic power generation resources include at least one photo-voltaic inverter.

Abstract: Systems and methods for making real-time predictions about an arc flash event on an electrical system are disclosed. An analytics server is communicatively connected to a data acquisition component. The analytics server comprises a virtual system modeling engine configured to create a virtual system model reflecting current network topology of the electrical system; an analytics engine configured to monitor predicted output data from the virtual system model and real-time output data from the electrical system acquired by the data acquisition component and update the virtual system model when a difference between the real-time output data and the predicted output data exceeds a threshold; and an arc flash simulation engine configured to forecast at least one aspect of and arc flash event based on the virtual system model.

Abstract: Systems and methods for model-based demand response are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The data acquisition component is operable to acquire and transmit real-time data from a demand response (DR) power network to the analytic server. The virtual system model database is operable to provide a virtual system model of the DR power network. The analytics server is operable to generate predicted data based on the virtual system model of the DR power network and update the virtual system model in real time based on a difference between the predicted data and the real-time data. The analytics server is further operable to optimize DR output of the DR power network to a power grid.

Abstract: Systems and methods for real-time modeling of a microgrid are disclosed. An analytics server communicatively connected to a microgrid. The analytics server comprises a virtual system modeling module, an analytics module; a simulation module; and a communications module. The virtual system modeling module is operable to generate predicted data for the microgrid utilizing a virtual system model of the microgrid. The analytics module is operable to initiate a calibration and synchronization operation to update the virtual system model based on a difference between the predicted data and real-time data from the microgrid. The simulation module is operable to forecast at least one aspect of the microgrid. The communications module is operable to provide the at least one forecasted aspect to a microgrid operator and a macrogrid operator.

Abstract: Systems and methods for predicting power output from photo-voltaic power generation resources are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The analytics server is operable to receive real-time data via the data acquisition component from an electrical system comprising photo-voltaic power generation resources; generate predicted data based on a virtual model of the electrical system provided by the virtual system model database; continuously and automatically synchronize the virtual model with the electrical system based on a difference between the real-time data and the predicted data; receive solar irradiance forecast data; and forecast a power output of the photo-voltaic power generation resources based on the virtual model and the solar irradiance forecast data. The photo-voltaic power generation resources include at least one photo-voltaic inverter.

Abstract: Systems and methods for real-time modeling of a microgrid are disclosed. An analytics server communicatively connected to a microgrid. The analytics server comprises a virtual system modeling module, an analytics module; a simulation module; and a communications module. The virtual system modeling module is operable to generate predicted data for the microgrid utilizing a virtual system model of the microgrid. The analytics module is operable to initiate a calibration and synchronization operation to update the virtual system model based on a difference between the predicted data and real-time data from the microgrid. The simulation module is operable to forecast at least one aspect of the microgrid. The communications module is operable to provide the at least one forecasted aspect to a microgrid operator and a macrogrid operator.

Abstract: Systems and methods for model-based demand response are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The data acquisition component is operable to acquire and transmit real-time data from a demand response (DR) power network to the analytic server. The virtual system model database is operable to provide a virtual system model of the DR power network. The analytics server is operable to generate predicted data based on the virtual system model of the DR power network and update the virtual system model in real time based on a difference between the predicted data and the real-time data. The analytics server is further operable to optimize DR output of the DR power network to a power grid.

Abstract: Systems and methods for making real-time predictions about an arc flash event on an electrical system are disclosed. An analytics server is communicatively connected to a data acquisition component. The analytics server comprises a virtual system modeling engine configured to create a virtual system model reflecting current network topology of the electrical system; an analytics engine configured to monitor predicted output data from the virtual system model and real-time output data from the electrical system acquired by the data acquisition component and update the virtual system model when a difference between the real-time output data and the predicted output data exceeds a threshold; and an arc flash simulation engine configured to forecast at least one aspect of and arc flash event based on the virtual system model.

Abstract: Systems and methods for making real-time predictions about an arc flash event on an electrical system are disclosed. A virtual system model database is operable for providing a virtual system model for the electrical system and continuously update the virtual system model with real-time data from the electrical system. An analytics server comprises an arch flash simulation engine. The arch flash simulation engine is operable to modify the virtual system model to introduce a short-circuit feature to an uninterrupted power supply bypass circuit branch; choose a standard to supply equations used for arc flash event simulation and energy calculation; simulate an arc flash event utilizing the modified virtual system model; calculate a quantity of arc energy released by the arc flash event using results from the simulation; and communicate a report that forecasts an aspect of the arc flash event.

Abstract: Systems and methods for predicting power output from photo-voltaic power generation resources are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The analytics server is operable to receive real-time data via the data acquisition component from an electrical system comprising photo-voltaic power generation resources; generate predicted data based on a virtual model of the electrical system provided by the virtual system model database; continuously and automatically synchronize the virtual model with the electrical system based on a difference between the real-time data and the predicted data; receive solar irradiance forecast data; and forecast a power output of the photo-voltaic power generation resources based on the virtual model and the solar irradiance forecast data. The photo-voltaic power generation resources include at least one photo-voltaic inverter.

Abstract: A method for simulating an arc flash event on an electrical power system is disclosed. The virtual system model of the electrical system is modified to introduce a short circuiting feature. The standard to supply equations used in the arc flash event calculations is chosen. The arc flash event is simulated using the modified virtual system model in accordance with the chosen standard. The quantity of arc energy released by the arc flash event is calculated using results from the simulation. The report that forecasts an aspect of the arc flash event is communicated.

Abstract: A system for making real-time predictions about an arc flash event on an electrical system comprises a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system; an analytics server communicatively connected to the data acquisition component and comprising a virtual system modeling engine configured to generate predicted data output for the electrical system using a virtual system model of the electrical system, an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, and an arc flash simulation engine configured to use the virtual system model updated based in the real-time data to forecast an aspect of the arc flash event.

Abstract: A method for simulating an arc flash event on an electrical power system is disclosed. The virtual system model of the electrical system is modified to introduce a short circuiting feature. The standard to supply equations used in the arc flash event calculations is chosen. The arc flash event is simulated using the modified virtual system model in accordance with the chosen standard. The quantity of arc energy released by the arc flash event is calculated using results from the simulation. The report that forecasts an aspect of the arc flash event is communicated.

Abstract: A method for simulating an arc flash event on an electrical power system is disclosed. The virtual system model of the electrical system is modified to introduce a short circuiting feature. The standard to supply equations used in the arc flash event calculations is chosen. The arc flash event is simulated using the modified virtual system model in accordance with the chosen standard. The quantity of arc energy released by the arc flash event is calculated using results from the simulation. The report that forecasts an aspect of the arc flash event is communicated.

Abstract: A system for making real-time predictions about an arc flash event on an electrical system comprises a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system; an analytics server communicatively connected to the data acquisition component and comprising a virtual system modeling engine configured to generate predicted data output for the electrical system using a virtual system model of the electrical system, an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, and an arc flash simulation engine configured to use the virtual system model updated based in the real-time data to forecast an aspect of the arc flash event.