-
公开(公告)号：US20180373824A1
公开(公告)日：2018-12-27
申请号：US16031461
申请日：2018-07-10
摘要： 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.
-
公开(公告)号：US09846839B2
公开(公告)日：2017-12-19
申请号：US14925227
申请日：2015-10-28
发明人： Adib Nasle , Ali Nasle
IPC分类号： G06G7/54 , G06N3/08 , G05B13/02 , G05B15/02 , G06F17/50 , G06N3/10 , G06N5/04 , G06N7/06 , G05B19/042
CPC分类号： G06N3/08 , G05B13/026 , G05B13/027 , G05B15/02 , G05B19/0428 , G05B2219/2639 , G06F17/5004 , G06F17/5009 , G06F2217/04 , G06F2217/78 , G06N3/10 , G06N5/048 , G06N7/06
摘要： 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.
-
公开(公告)号：US09846752B2
公开(公告)日：2017-12-19
申请号：US15068105
申请日：2016-03-11
发明人： Adib Nasle
CPC分类号： G06F17/5009 , G06F17/10 , G06F2217/78
摘要： Systems and methods for modeling an electrical power system are disclosed. A computer and an analytics server are in network connection. The computer comprises a processor coupled with a memory. The memory is configured to maintain at least one engine element and a component database. The analytics server comprises a virtual system modeling engine and an analytics engine. The component database is operable to store power system components. The at least one engine element is operable to generate a virtual system model of the electrical power system and generate predicted output based on the virtual system model. The analytics engine is operable to monitor the predicted output and real-time output from at least one sensor of the electrical power system, and calibrate the virtual system model based on a difference between the predicted output and the real-time output.
-
4.发明申请SYSTEMS AND METHODS FOR INTEGRATED, MODEL, AND ROLE-BASED MANAGEMENT OF A MICROGRID BASED ON REAL-TIME POWER MANAGEMENT 审中-公开基于实时电源管理的微控制器的集成，模型和基于角色的管理系统与方法公开(公告)号：US20130253718A1
公开(公告)日：2013-09-26
申请号：US13836984
申请日：2013-03-15
发明人： Kevin Meagher , Brian Radibratovic
IPC分类号： G05B13/02
CPC分类号： G06F17/5009 , G05B13/02 , G05B17/02 , G06N5/045
摘要： 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.
摘要翻译： 一种用于微电网实时建模的系统和方法。 在一个实施例中，系统包括数据采集组件，虚拟系统建模引擎和分析引擎。 数据采集组件从微电网获取实时数据。 虚拟系统建模引擎生成微电网的预测数据。 分析引擎分析实时数据和预测数据之间的差异。 如果差异超过阈值，则更新虚拟系统模型以提供与实时数据一致的预测数据。 此外，模拟模块可以处理从实时数据和预测数据观察到的模式，并预测微电网的一个方面。 然后可以将预测的方面提供给微电网操作员以及宏网操作员。
-
5.发明申请公开(公告)号：US20210397768A1
公开(公告)日：2021-12-23
申请号：US17466667
申请日：2021-09-03
发明人： Branislav Radibratovic , Ali Nasle
IPC分类号： G06F30/20
摘要： 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.
-
公开(公告)号：US20210326731A1
公开(公告)日：2021-10-21
申请号：US17364139
申请日：2021-06-30
发明人： Adib Nasle
摘要： 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.
-
公开(公告)号：US20210241126A1
公开(公告)日：2021-08-05
申请号：US17151467
申请日：2021-01-18
发明人： Adib Nasle , Ali Nasle
摘要： Systems and methods for making real-time predictions about the health, reliability, and performance of a monitored system are disclosed. A data acquisition component acquires real-time data output from the monitored system. A power analytics server comprises a virtual system modeling engine, an analytics engine, and an adaptive prediction engine. The virtual system modeling engine is operable to generate predicted data output for the monitored system utilizing a virtual system model of the monitored system. An analytics engine is operable to update the virtual system model when a difference between the real-time data output and the predicted data output exceeds a threshold. The adaptive prediction engine is operable to forecast an aspect of the monitored system based on an adaptive neural network algorithm and automatically minimize a measure of error between the real-time data output and a corresponding forecasted data output by the adaptive prediction engine.
-
8.发明申请公开(公告)号：US20190034569A1
公开(公告)日：2019-01-31
申请号：US16152064
申请日：2018-10-04
发明人： Branislav Radibratovic , Ali Nasle
IPC分类号： G06F17/50
摘要： 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.
-
9.发明申请公开(公告)号：US20190005165A1
公开(公告)日：2019-01-03
申请号：US15998739
申请日：2018-08-16
发明人： Kevin Meagher , Brian Radibratovic , Adib Nasle
摘要： 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.
-
公开(公告)号：US20180373827A1
公开(公告)日：2018-12-27
申请号：US16117684
申请日：2018-08-30
摘要： 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.
-
-
-
-
-
-
-
-
-
搜索结果
41 条记录 (耗时 0.032 秒)
