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1. 发明申请

WO2015139061A1 RAMP RATE CONTROL SYSTEM AND METHODS USING ENERGY STORAGE DEVICES 审中-公开
标题翻译：使用能量存储设备的RAMP速率控制系统和方法
公开(公告)号：WO2015139061A1
公开(公告)日：2015-09-17
申请号：PCT/US2015/020842
申请日：2015-03-16
申请人： POWER ANALYTICS CORPORATION , SALEHI POUR MEHR, Vahid , MEAGHER, Kevin , RADIBRATOVIC, Brian
发明人： SALEHI POUR MEHR, Vahid , MEAGHER, Kevin , RADIBRATOVIC, Brian
IPC分类号： G05B13/02
CPC分类号： H02J3/383 , H02J2003/007 , Y02E10/563 , Y02E60/76 , Y04S40/22
摘要： A power generation system includes at least one photo voltaic (PV) unit for generating power, a first data unit receiving and storing irradiance data measured by the PV unit, a second data unit having irradiance forecast data, a controller receiving the data from both data units and an energy storage device receiving instructions from the controller, wherein the instructions from the controller include ramp up or ramp down messages.
摘要翻译：发电系统包括用于产生电力的至少一个光伏（PV）单元，接收并存储由PV单元测量的辐照度数据的第一数据单元，具有辐照度预测数据的第二数据单元，从两个数据接收数据的控制器单元和能量存储装置接收来自控制器的指令，其中来自控制器的指令包括斜坡上升或下降消息。

2. 发明申请

WO2012103246A3 SYSTEMS AND METHODS FOR REAL-TIME DC MICROGRID POWER ANALYTICS FOR MISSION-CRITICAL POWER SYSTEMS 审中-公开
公开(公告)号：WO2012103246A3
公开(公告)日：2012-08-02
申请号：PCT/US2012/022590
申请日：2012-01-25
申请人： POWER ANALYTICS CORPORATION , MEAGHER, Kevin , RADIBRATOVIC, Brian
发明人： MEAGHER, Kevin , RADIBRATOVIC, Brian
IPC分类号： G06F19/00
摘要： [00235] 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.

3. 发明申请

WO2012103244A2 SYSTEMS AND METHODS FOR AUTOMATED MODEL-BASED REAL-TIME SIMULATION OF A MICROGRID FOR MARKET-BASED ELECTRIC POWER SYSTEM OPTIMIZATION 审中-公开
标题翻译：用于基于市场的电力系统优化的基于模型的基于模型的实时仿真的系统和方法
公开(公告)号：WO2012103244A2
公开(公告)日：2012-08-02
申请号：PCT/US2012/022588
申请日：2012-01-25
申请人： POWER ANALYTICS CORPORATION , MEAGHER, Kevin , RADIBRATOVIC, Brian , KOOPMAN, Rodger
发明人： MEAGHER, Kevin , RADIBRATOVIC, Brian , KOOPMAN, Rodger
IPC分类号： G06F19/00 , G06F9/455
CPC分类号： G06F17/5009 , G06Q50/00
摘要： 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.
摘要翻译：微电网实时建模的系统和方法。在一个实施例中，从微电网获取实时数据。使用微电网的第一虚拟系统模型产生微电网的预测数据，其包括微电网内能量源的虚拟表示。监视实时数据和预测数据，并且当实时数据和预测数据之间的差超过阈值时，启动校准和同步操作来实时更新第一虚拟系统模型。可以修改第一虚拟系统模型的参数以创建第二虚拟系统模型，并且可以针对在第二虚拟系统模型的修改参数下操作的微网来预测方面。在另一实施例中，可以接收市场价格信息，并且可以基于市场价格信息生成优化解决方案。

4. 发明申请

US20180373824A1 Systems and Methods for Automated Model-Based Real-Time Simulation of a Microgrid for Market-Based Electric Power System Optimization 审中-公开
公开(公告)号：US20180373824A1
公开(公告)日：2018-12-27
申请号：US16031461
申请日：2018-07-10
申请人： Power Analytics Corporation
发明人： Kevin Meagher , Brian Radibratovic , Rodger Koopman
IPC分类号： G06F17/50 , G06Q50/00
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.

5. 发明授权

US09846839B2 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 有权
公开(公告)号：US09846839B2
公开(公告)日：2017-12-19
申请号：US14925227
申请日：2015-10-28
申请人： Power Analytics Corporation
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.

6. 发明授权

US09846752B2 System and methods for intuitive modeling of complex networks in a digital environment 有权
公开(公告)号：US09846752B2
公开(公告)日：2017-12-19
申请号：US15068105
申请日：2016-03-11
申请人： Power Analytics Corporation
发明人： Adib Nasle
IPC分类号： G06G7/64 , G06F17/50 , G06F17/10
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.

7. 发明申请

US20130253718A1 SYSTEMS AND METHODS FOR INTEGRATED, MODEL, AND ROLE-BASED MANAGEMENT OF A MICROGRID BASED ON REAL-TIME POWER MANAGEMENT 审中-公开
标题翻译：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
申请人： POWER ANALYTICS CORPORATION
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。

8. 发明申请

US20210397768A1 Method For Predicting Arc Flash Energy And PPE Category Within A Real-Time Monitoring System 有权
公开(公告)号：US20210397768A1
公开(公告)日：2021-12-23
申请号：US17466667
申请日：2021-09-03
申请人： Power Analytics Corporation
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.

9. 发明申请

US20210326731A1 Systems and Methods for Automatic Real-Time Capacity Assessment for Use in Real-Time Power Analytics of an Electrical Power Distribution System 有权
公开(公告)号：US20210326731A1
公开(公告)日：2021-10-21
申请号：US17364139
申请日：2021-06-30
申请人： Power Analytics Corporation
发明人： Adib Nasle
IPC分类号： G06N5/04 , G06N20/00 , G06F30/20 , H04L29/06
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.

10. 发明申请

US20210241126A1 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 有权
公开(公告)号：US20210241126A1
公开(公告)日：2021-08-05
申请号：US17151467
申请日：2021-01-18
申请人： Power Analytics Corporation
发明人： Adib Nasle , Ali Nasle
IPC分类号： G06N5/02 , G06N20/00
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.

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