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 market-based electric power system optimization are disclosed. Real-time data is acquired from a microgrid. Predicted data is generated by a virtual system model of the microgrid. A virtual system model is updated in real time when a difference between the real-time data and the predicted data exceeds a threshold. A multiplicity of market-based scenarios is presented to the virtual system model to create a multiplicity of altered virtual system models. The multiplicity of market-based scenarios is based on demand data, pricing data and availability data. Simulations for the multiplicity of market-based scenarios are performed based on the multiplicity of altered virtual system models. Simulation results are compared for optimization of microgrid availability and reliability.

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 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. In an embodiment, real-time data is acquired from a microgrid. Predicted data for the microgrid is generated using a first virtual system model of the microgrid, which comprises a virtual representation of energy sources within the microgrid. The real-time data and the predicted data are monitored, and a calibration and synchronization operation is initiated to update the first virtual system model in real-time when a difference between the real-time data and the predicted data exceeds a threshold. Parameters of the first virtual system model can be modified to create a second virtual system model, and aspects can be forecasted for the microgrid operating under the modified parameters of the second virtual system model. In a further embodiment, market price information can be received, and optimization solutions can be generated based on the market price information.

Abstract: Systems and methods for model-based real-time solar power management. In an embodiment, real-time data is received from sensor(s) of an electrical system comprising a photo-voltaic power generator. Predicted data is generated based on a virtual model of the electrical system that replicates operation of the sensor(s). The virtual model is continuously and automatically synchronized with the electrical system based on a difference between the real-time data and the predicted data. Solar irradiance forecast data may also be received and used in conjunction with the virtual model to forecast a power output of the photo-voltaic power generator.

Abstract: Systems and method for providing a microgrid power analytics portal for mission critical power systems are provided. The techniques disclosed herein provides for real-time modeling, evaluation, and commodity market pricing and optimization for an electrical network that includes microgrids using data collected from virtually any digital data source. The portal is platform independent and can be configured to collect and aggregate real-time data from sensors interfaced with components of the electrical network regardless of proprietary architectures or vendor-specific limitations imposed by the sensors or data collection software.

Abstract: Systems and methods for real-time modeling of a microgrid. In an embodiment, real-time data is acquired from a microgrid. Predicted data for the microgrid is generated using a first virtual system model of the microgrid, which comprises a virtual representation of energy sources within the microgrid. The real-time data and the predicted data are monitored, and a calibration and synchronization operation is initiated to update the first virtual system model in real-time when a difference between the real-time data and the predicted data exceeds a threshold. Parameters of the first virtual system model can be modified to create a second virtual system model, and aspects can be forecasted for the microgrid operating under the modified parameters of the second virtual system model. In a further embodiment, market price information can be received, and optimization solutions can be generated based on the market price information.

Abstract: Systems and method for providing a microgrid power analytics portal for mission critical power systems are provided. The techniques disclosed herein provides for real-time modeling, evaluation, and commodity market pricing and optimization for an electrical network that includes microgrids using data collected from virtually any digital data source. The portal is platform independent and can be configured to collect and aggregate real-time data from sensors interfaced with components of the electrical network regardless of proprietary architectures or vendor-specific limitations imposed by the sensors or data collection software.