公开(公告)号：US20190036482A1

公开(公告)日：2019-01-31

申请号：US16037381

申请日：2018-07-17

Applicant: NEC Laboratories America, Inc.

Inventor： Chenrui Jin ,  Babak Asghari ,  Ratnesh Sharma

IPC: H02S40/38 ,  H02J7/35 ,  H01L31/042 ,  H02J7/00

Abstract: A computer-implemented method executed on a processor for outputting a smoothed photovoltaic (PV) power output from a battery of a power control system communicating with one or more microgrids is presented. The method includes curtailing an input signal received from a plurality of sensors, smoothing the input signal by employing a fuzzy logic based low pass filter having an adaptive window to generate a power reference command, applying a hard ramp rate limit to the power reference command, adjusting battery power output of the battery to satisfy battery constraints and a no-power-from-grid constraint, and distributing energy from the battery based on the adjusted battery power output.

公开(公告)号：US20200057175A1

公开(公告)日：2020-02-20

申请号：US16519509

申请日：2019-07-23

Applicant: NEC Laboratories America, Inc.

Inventor： Yue Zhang ,  Chenrui Jin ,  Ratnesh Sharma

IPC: G01W1/10 ,  G01W1/12 ,  G01W1/06 ,  G06N3/04 ,  H02J3/38 ,  G06K9/62

Abstract: Systems and methods for photovoltaic (PV) output forecasting are provided. The methods include determining whether a weather condition that indicates a first forecasting model to have a greater accuracy than a deep learning-based forecasting model is detected in weather data for a predetermined time span. The method also includes forecasting PV output, by a processing device, using the first forecasting model in response to a determination that the weather condition is detected in the weather data for the predetermined time span. The method further includes predicting PV output using the deep learning-based forecasting model in response to a determination that the weather condition is not detected in the weather data for the predetermined time span.

公开(公告)号：US10585123B2

公开(公告)日：2020-03-10

申请号：US16151544

申请日：2018-10-04

Applicant: NEC Laboratories America, Inc.

Inventor： Kiyoshi Nakayama ,  Chenrui Jin ,  Ratnesh Sharma ,  Nikhil Muralidhar

IPC: G01R19/25 ,  G06F17/16 ,  G06K9/72 ,  G06Q50/06

Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection in a power system. The method includes receiving, by a processor-device, a plurality of measurements from a plurality of meters throughout the power system. The method also includes generating, by the processor-device, temporal causal networks based on pair-wise relationships between the plurality of measurements from the plurality of meters over time. The method additionally includes determining, by the processor-device, invariant relationships for the plurality of meters between the temporal causal networks. The method further includes predicting, by the processor-device, an anomaly from the invariant relationships for the plurality of meters with a residual anomaly threshold. The method also includes disabling one of the plurality of meters that originated the anomaly.

公开(公告)号：US20190113549A1

公开(公告)日：2019-04-18

申请号：US16151544

申请日：2018-10-04

Applicant: NEC Laboratories America, Inc.

Inventor： Kiyoshi Nakayama ,  Chenrui Jin ,  Ratnesh Sharma ,  Nikhil Muralidhar

IPC: G01R19/25 ,  G06K9/72 ,  G06F17/16

CPC classification number: G01R19/2513 ,  G01R22/066 ,  G06F17/16 ,  G06K9/72 ,  G06Q50/06

Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection in a power system. The method includes receiving, by a processor-device, a plurality of measurements from a plurality of meters throughout the power system. The method also includes generating, by the processor-device, temporal causal networks based on pair-wise relationships between the plurality of measurements from the plurality of meters over time. The method additionally includes determining, by the processor-device, invariant relationships for the plurality of meters between the temporal causal networks. The method further includes predicting, by the processor-device, an anomaly from the invariant relationships for the plurality of meters with a residual anomaly threshold. The method also includes disabling one of the plurality of meters that originated the anomaly.

公开(公告)号：US20160043548A1

公开(公告)日：2016-02-11

申请号：US14452822

申请日：2014-08-06

Applicant: NEC Laboratories America, Inc.

Inventor： Mohammad Chehreghani Bozchalui ,  Chenrui Jin ,  Ratnesh K. Sharma

IPC: H02J3/00 ,  G05B13/04

CPC classification number: G05B13/041 ,  H02J3/28 ,  H02J3/382 ,  H02J2003/007 ,  Y02E40/76 ,  Y02E60/76 ,  Y02E70/30 ,  Y04S10/545 ,  Y04S40/22

Abstract: A system and method are provided for an energy distribution system having at least one energy storage system and at least one renewable energy resource. The method includes determining distribution optimal power flow optimization models of components of the distribution system. The components at least include the at least one energy storage system and the at least one renewable energy resource. The method further includes generating a composite model of the distribution system by integrating therein the distribution optimal power flow optimization models. The method also includes optimally scheduling, using a processor-based scheduling optimizer, an operation of resources in the distribution system using at least one of a fixed-window iterative optimization technique and a rolling stochastic optimization technique applied to the composite model.

Abstract translation: 为具有至少一个能量存储系统和至少一个可再生能源的能量分配系统提供了一种系统和方法。 该方法包括确定分配系统组件的分布最优功率流优化模型。 这些部件至少包括至少一个能量存储系统和至少一个可再生能源。 该方法还包括通过在其中集成分布最优潮流优化模型来生成分配系统的复合模型。 该方法还包括使用应用于复合模型的固定窗口迭代优化技术和滚动随机优化技术中的至少一个，使用基于处理器的调度优化器来最优地调度分配系统中的资源的操作。