POWER ANALYTICS CORPORATION Patent applications |
Patent application number | Title | Published |
20160048757 | Systems and Methods for Real-Time Forecasting and Predicting of Electrical Peaks and Managing the Energy, Health, Reliability, and Performance of Electrical Power Systems Based on an Artificial Adaptive Neural Network - A system for utilizing a neural network to make real-time predictions about the health, reliability, and performance of a monitored system are disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine, an adaptive prediction engine. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The adaptive prediction engine can be configured to forecast an aspect of the monitored system using a neural network algorithm. The adaptive prediction engine is further configured to process the real-time data output and automatically optimize the neural network algorithm by minimizing a measure of error between the real-time data output and an estimated data output predicted by the neural network algorithm. | 02-18-2016 |
20150248617 | Systems and Methods for Automatic Real-Time Capacity Assessment for Use in Real-Time Power Analytics of an Electrical Power Distribution System - A system for conducting a real-time power capacity assessment of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component is communicatively connected to a sensor configured to acquire real-time data output from the electrical system. The power analytics server is communicatively connected to the data acquisition component and is comprised of a virtual system modeling engine, an analytics engine and a machine learning engine. The machine learning engine is configured to store and process patterns observed from the real-time data output and the predicted data output, forecasting power capacity of the electrical system subjected to a simulated contingency event. | 09-03-2015 |
20150248510 | Systems and Methods for Automated Model-Based Real-Time Simulation of a Microgrid for Market-Based Electric Power System Optimization - 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. | 09-03-2015 |
20150178627 | Method for Predicting Symmetric, Automated, Real-Time Arc Flash Energy Within a Real-Time Monitoring System - 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. | 06-25-2015 |
20150161298 | SYSTEMS AND METHODS FOR REAL-TIME DC MICROGRID POWER ANALYTICS FOR MISSION-CRITICAL POWER SYSTEMS - Systems and methods for performing power analytics on a microgrid. In an embodiment, predicted data is generated for the microgrid utilizing a virtual system model of the microgrid, which comprises a virtual representation of a topology of the microgrid. Real-time data is received via a portal from at least one external data source. If the difference between the real-time data and the predicted data exceeds a threshold, a calibration and synchronization operation is initiated to update the virtual system model in real-time. Power analytics may be performed on the virtual system model to generate analytical data, which can be returned via the portal. | 06-11-2015 |
20150153757 | Microgrid Model Based Automated Real Time Simulation for Market Based Electric Power System Optimization - Systems and methods for optimizing energy consumption in multi-energy sources sites are provided. These techniques include developing a real-time model and a virtual model of the electrical system of a multi-energy source site, such as a microgrid. The real-time model represents a current state of the electrical system can be developed by collecting data from sensors interfaced with the various components of the electrical system. The virtual model of the electrical system mirrors the real-time model of the electrical system and can be used to generate predictions regarding the performance, availability, and reliability of cost and reliability of various distributed energy sources and to predict the price of acquiring energy from these sources. The virtual model can be used to test “what if” scenarios, such as routine maintenance, system changes, and unplanned events that impact the utilization and capacity of the microgrid. | 06-04-2015 |
20150112907 | Systems and Methods for Real-Time Forecasting and Predicting of Electrical Peaks and Managing the Energy, Health, Reliability, and Performance of Electrical Power Systems Based on an Artificial Adaptive Neural Network - A system for utilizing a neural network to make real-time predictions about the health, reliability, and performance of a monitored system are disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine, an adaptive prediction engine. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The adaptive prediction engine can be configured to forecast an aspect of the monitored system using a neural network algorithm. The adaptive prediction engine is further configured to process the real-time data output and automatically optimize the neural network algorithm by minimizing a measure of error between the real-time data output and an estimated data output predicted by the neural network algorithm. | 04-23-2015 |
20150012254 | Method for predicting arc flash energy and PPE category within a real-time monitoring system - 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. | 01-08-2015 |
20140136178 | SYSTEMS AND METHODS FOR MODEL-BASED SOLAR POWER MANAGEMENT - 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. | 05-15-2014 |
20130253898 | SYSTEMS AND METHODS FOR MODEL-DRIVEN DEMAND RESPONSE - A system and method for providing real-time modeling of an electrical power system for demand response. In an embodiment, real-time data is acquired from an electrical power system. Predicted data is generated for the electrical power system utilizing a virtual system model of the electrical power system. If a difference between the real-time data and predicted data exceeds a threshold, a calibration and synchronization operation is initiated to update the virtual system model to provide predicted data that is consistent with the real-time data. In addition, patterns observed from the real-time data and predicted data may be processed, and an aspect of the electrical power system can be forecasted. The forecasted aspect may then be provided to a demand response market system. | 09-26-2013 |
20130253718 | SYSTEMS AND METHODS FOR INTEGRATED, MODEL, AND ROLE-BASED MANAGEMENT OF A MICROGRID BASED ON REAL-TIME POWER MANAGEMENT - A system and method for real-time modeling of a microgrid. In an embodiment, the system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component acquires real-time data from a microgrid. The virtual system modeling engine generates predicted data for the microgrid. The analytics engine analyzes a difference between the real-time data and the predicted data. If the difference exceeds a threshold, the virtual system model is updated to provide predicted data that is consistent with the real-time data. In addition, a simulation module may process patterns observed from the real-time data and predicted data, and forecast an aspect of the microgrid. This forecasted aspect may then be provided to a microgrid operator, as well as a macrogrid operator. | 09-26-2013 |
20120191440 | SYSTEMS AND METHODS FOR REAL-TIME DC MICROGRID POWER ANALYTICS FOR MISSION-CRITICAL POWER SYSTEMS - Systems and methods for performing power analytics on a microgrid. In an embodiment, predicted data is generated for the microgrid utilizing a virtual system model of the microgrid, which comprises a virtual representation of a topology of the microgrid. Real-time data is received via a portal from at least one external data source. If the difference between the real-time data and the predicted data exceeds a threshold, a calibration and synchronization operation is initiated to update the virtual system model in real-time. Power analytics may be performed on the virtual system model to generate analytical data, which can be returned via the portal. | 07-26-2012 |
20120191439 | SYSTEMS AND METHODS FOR AUTOMATED MODEL-BASED REAL-TIME SIMULATION OF A MICROGRID FOR MARKET-BASED ELECTRIC POWER SYSTEM OPTIMIZATION - 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. | 07-26-2012 |