公开(公告)号：US20180262005A1

公开(公告)日：2018-09-13

申请号：US15978405

申请日：2018-05-14

Applicant: SPYROS J. LAZARIS

Inventor： SPYROS J. LAZARIS

IPC: H02J3/14 ,  F03G6/00 ,  G05B15/02 ,  G05B19/02 ,  G06F17/50 ,  G06Q30/06 ,  G06Q50/06 ,  H02J3/38 ,  H02J13/00

CPC classification number: H02J3/14 ,  F03G6/00 ,  G05B15/02 ,  G05B19/02 ,  G06F17/5009 ,  G06Q30/0605 ,  G06Q50/06 ,  H02J3/382 ,  H02J3/383 ,  H02J3/386 ,  H02J13/0096 ,  Y02E10/46 ,  Y02E10/563 ,  Y02E10/763 ,  Y02E40/72 ,  Y02E60/74 ,  Y02P80/23 ,  Y04S10/123 ,  Y04S10/30 ,  Y04S10/60 ,  Y04S50/00 ,  Y04S50/10 ,  Y04S50/16

Abstract: In a renewable energy-based electricity grid infrastructure, distributed data analytics and artificial intelligence enable modeling and delivery of an appropriate, time-sensitive, dynamic demand response from multiple renewable energy resource components to an intelligent power distribution network. Distributed data analytics also enable the electricity grid infrastructure to virtually, optimally and adaptively make decisions about power production, distribution, and consumption so that a demand response is a dynamic reaction across the electricity grid infrastructure in a distributed energy generation from multiple renewable energy resources responsive to

公开(公告)号：US10041968B2

公开(公告)日：2018-08-07

申请号：US15294545

申请日：2016-10-14

Applicant: Aclara Technologies LLC

Inventor： Gregory M. Nulty

IPC: G01P15/02 ,  H02J3/00 ,  H02J13/00 ,  G01R31/02

CPC classification number: G01P15/02 ,  G01R31/021 ,  H02J3/00 ,  H02J13/00 ,  H02J13/002 ,  H02J2003/001 ,  H02J2003/007 ,  Y02E60/74 ,  Y02E60/76 ,  Y04S10/30 ,  Y04S10/525 ,  Y04S40/22

Abstract: Techniques comprising obtaining, using a sensor unit coupled to a power line in a power distribution system, at least one measurement of at least one inertial property of the power line; and detecting at least one condition of the power line at least in part by analyzing the at least one measurement. A sensor unit configured to be coupled to a power line in a power distribution system, the sensor unit comprising an inertial sensor configured to collect at least one measurement of at least one inertial property of the power line.

公开(公告)号：US09983242B2

公开(公告)日：2018-05-29

申请号：US14967213

申请日：2015-12-11

Applicant: Silver Spring Networks, Inc.

Inventor： George H. Flammer, III

IPC: G01R21/133 ,  H02J13/00 ,  H04L12/24

CPC classification number: G01R21/133 ,  H02J3/00 ,  H02J13/00 ,  H02J13/0006 ,  H02J13/0075 ,  H04L41/0686 ,  H04L41/069 ,  H04L41/12 ,  Y02E60/74 ,  Y02E60/7853 ,  Y04S10/30 ,  Y04S40/126 ,  Y04S40/164 ,  Y04S40/166

Abstract: A wireless mesh network is configured to manage a power grid. Each node within the wireless mesh network is configured to detect and classify voltage fluctuations in power supplied by an upstream transformer coupled to the power grid. When a given node detects a particular type of fluctuation (i.e., an “event”), the node generates a timestamped event classification that reflects the type of event and a time when the event occurred. A server configured to manage the wireless mesh network receives timestamped event classifications from each node within the wireless mesh network and then performs a time correlation with the received timestamped event classifications to determine which nodes detected similar events. When two or more nodes detected the same event at similar times, the server determines that those nodes are coupled to the same transformer.

公开(公告)号：US09885744B2

公开(公告)日：2018-02-06

申请号：US14348327

申请日：2011-09-30

Applicant: Sung-Woo Lee ,  Bok-Nam Ha ,  In-Yong Seo ,  Dong-Wan Seo ,  Moon-Jong Jang ,  Won Namkoong

Inventor： Sung-Woo Lee ,  Bok-Nam Ha ,  In-Yong Seo ,  Dong-Wan Seo ,  Moon-Jong Jang ,  Won Namkoong

IPC: G01R31/08 ,  G01R31/02 ,  G01R21/00 ,  G01R19/25 ,  H02J13/00

CPC classification number: G01R31/02 ,  G01R19/2513 ,  G01R31/08 ,  H02J13/001 ,  H02J13/0062 ,  Y02E60/74 ,  Y02E60/7838 ,  Y04S10/30 ,  Y04S10/40 ,  Y04S10/527 ,  Y04S40/124

Abstract: The present invention relates to a system and method for an abnormal waveform in a power distribution system that quickly transmits abnormal waveform-related data of a large size by changing a protocol according to data size. The system for detecting an abnormal power quality waveform comprises: a plurality of RTUs for measuring abnormal waveform when a waveform measuring signal received, and transmitting an abnormal waveform using a protocol set according to the size of the abnormal waveform; an FEP for transmitting the waveform measuring signal to an RTU installed in a failure section, and receiving and storing the abnormal waveform from the RTU; a main server for transmitting the waveform measuring signal through the FEP to the RTU installed in the failure section, performing controlling to measure the abnormal waveform generated in the failure section, and receiving and displaying the abnormal waveform according to the waveform measuring signal.

公开(公告)号：US09876356B2

公开(公告)日：2018-01-23

申请号：US14504535

申请日：2014-10-02

Applicant: Mitsubishi Electric Research Laboratories, Inc.

Inventor： Hongbo Sun ,  Yishen Wang

IPC: H02J3/14 ,  H02J3/00 ,  H02J3/24 ,  H02J13/00 ,  H02J3/28 ,  H02J3/38

CPC classification number: H02J3/14 ,  H02J3/005 ,  H02J3/24 ,  H02J3/28 ,  H02J3/381 ,  H02J3/382 ,  H02J13/0006 ,  H02J2003/001 ,  H02J2003/007 ,  H02J2003/143 ,  Y02B70/3225 ,  Y02B70/3266 ,  Y02B90/222 ,  Y02E40/72 ,  Y02E60/728 ,  Y02E60/74 ,  Y04S10/10 ,  Y04S10/123 ,  Y04S10/265 ,  Y04S10/30 ,  Y04S20/10 ,  Y04S20/12 ,  Y04S20/222 ,  Y04S20/242

Abstract: A power distribution system is dynamically and adaptively configured in real-time to improve energy efficiency, reliability and power quality, particularly if the system includes renewable sources and storages. An optimal multi-objective scheduling and partitioning method is provided to partition the system into self-sufficient sections (SSS) through optimally combination of adjacent basic switching sections (BSS). The SSSs enable system operating at a lower cost, with less power losses, more energy efficiency, improved power quality, and sufficient transient security. The method uses two storage based transient security indices, storage compensation power margin (SCPM) and storage compensation energy margin (SCEM) evaluate the transient stability margin of distribution system. A minimal stability margin is used to ensure that the system remains stable when subject to large unexpected load deviations.

公开(公告)号：US09851734B2

公开(公告)日：2017-12-26

申请号：US14401232

申请日：2013-05-16

Applicant: KYOCERA CORPORATION

Inventor： Ryuta Fujisawa ,  Takashi Furukawa ,  Ryutaro Mayumi

IPC: G05B15/02 ,  G05F1/66 ,  H02J13/00 ,  H02J3/00

CPC classification number: G05F1/66 ,  G05B15/02 ,  H02J13/001 ,  H02J13/0086 ,  H02J2003/001 ,  Y02E60/74 ,  Y04S10/30 ,  Y04S10/40 ,  Y04S10/525

Abstract: An alert presentation apparatus (EMS (200)) acquires the amounts of power consumed by loads connected to a system, and on the basis of the acquired power amounts, presents a load list including the power consumption of each load. This alert presentation apparatus (EMS (200)) presents the load list so as to reduce the frequency at which the loads that are on the load list change.

公开(公告)号：US09819227B2

公开(公告)日：2017-11-14

申请号：US14190470

申请日：2014-02-26

Applicant: Schweitzer Engineering Laboratories, Inc.

Inventor： Gregary C. Zweigle ,  Eric J. Hewitt ,  Ellery A. Blood

IPC: H02J13/00 ,  G05D3/12 ,  H02J3/00

CPC classification number: H02J13/001 ,  H02J2003/001 ,  H02J2003/003 ,  Y02E60/724 ,  Y02E60/74 ,  Y04S10/18 ,  Y04S10/30 ,  Y04S10/40 ,  Y04S10/525 ,  Y04S10/54

Abstract: Disclosed is state trajectory prediction in an electric power delivery system. Electric power delivery system information is calculated from measurements by intelligent electronic devices (IEDs), and communicated to a state trajectory prediction system. The state trajectory prediction system may be configured to generate a load prediction profile. The load prediction profile may provide a predicted response of a load at a future time. Further, the state trajectory prediction system may be configured to generate a generator prediction profile that provides a predicted response of a generator at a future time. The state trajectory prediction system may generate a state trajectory prediction based, at least in part, on the load prediction profile and the generator prediction profile. The state trajectory prediction may represent a future state of the electric power delivery system.

公开(公告)号：US20170317494A1

公开(公告)日：2017-11-02

申请号：US15655620

申请日：2017-07-20

Applicant: Zonit Structured Solutions, LLC

Inventor： Steve Chapel ,  William Pachoud

IPC: H02J3/00 ,  H02J3/14 ,  G05F1/66 ,  H02J13/00 ,  G05B15/02 ,  H01R13/717

CPC classification number: H02J3/00 ,  G05B15/02 ,  G05F1/66 ,  G06F1/28 ,  G06F1/3203 ,  G06F1/3209 ,  G06F1/3287 ,  H01R13/7175 ,  H02J3/14 ,  H02J13/0082 ,  H02J2003/143 ,  Y02B70/3225 ,  Y02B70/3266 ,  Y02B90/2615 ,  Y02B90/2669 ,  Y02E10/563 ,  Y02E10/763 ,  Y02E60/74 ,  Y04S10/30 ,  Y04S20/222 ,  Y04S20/242 ,  Y04S40/121 ,  Y04S40/128 ,  Y10T307/391 ,  Y10T307/406 ,  Y10T307/469

Abstract: A control system (300) allows recognized standard premise electrical outlets, for example NEMA, CEE and BS, among others to be remotely monitored and/or controlled, for example, to intelligently execute blackouts or brownouts or to otherwise remotely control electrical devices. The system (300) includes a number of smart receptacles (302) that communicate with a local controller (304), e.g., via power lines using the TCP/IP protocol. The local controller (304), in turn, communicates with a remote controller (308) via the internet.

公开(公告)号：US09778629B2

公开(公告)日：2017-10-03

申请号：US14088984

申请日：2013-11-25

Applicant: Clemson University

Inventor： Ganesh Kumar Venayagamoorthy

IPC: G05B13/04 ,  H02J3/00 ,  H02J13/00

CPC classification number: G05B13/048 ,  H02J3/00 ,  H02J13/0006 ,  H02J2003/007 ,  Y02E60/728 ,  Y02E60/74 ,  Y02E60/76 ,  Y04S10/265 ,  Y04S10/30 ,  Y04S40/22

Abstract: A system and method for modeling, controlling and analyzing electrical grids for use by control room operators and automatic control provides a multi-dimensional, multi-layer cellular computational network (CCN) comprising an information layer; a knowledge layer; a decision-making layer; and an action layer; wherein each said layer of said CCN represents one of a variable in an electric power system. Situational awareness/situational intelligence is provided therefrom so that the operators and grid control systems can make the correct decision and take informed actions under difficult circumstances to maintain a high degree of grid integrity and reliability by analyzing multiple variables within a volume of time and space to provide an understanding of their meaning and predict their states in the near future where these multiple variables can have different timescales.

公开(公告)号：US09774216B2

公开(公告)日：2017-09-26

申请号：US14402366

申请日：2012-07-10

Applicant: Kenichiro Yamane ,  Kunihiko Tsunedomi ,  Noriyuki Uchiyama ,  Yasushi Tomita ,  Tsukasa Onishi ,  Masatoshi Kumagai

Inventor： Kenichiro Yamane ,  Kunihiko Tsunedomi ,  Noriyuki Uchiyama ,  Yasushi Tomita ,  Tsukasa Onishi ,  Masatoshi Kumagai

IPC: H02J13/00 ,  G06Q10/04 ,  H02J4/00 ,  G06Q50/06 ,  G05B15/02 ,  H02J3/12 ,  H02J3/18 ,  G05B13/04 ,  G05F1/66

CPC classification number: H02J13/0013 ,  G05B13/04 ,  G05B15/02 ,  G05F1/66 ,  G06Q10/04 ,  G06Q50/06 ,  H02J3/12 ,  H02J3/18 ,  H02J4/00 ,  H02J13/002 ,  Y02E40/30 ,  Y02E40/74 ,  Y02E60/74 ,  Y02E60/7807 ,  Y04S10/22 ,  Y04S10/30 ,  Y04S40/12

Abstract: To control a power state of a power system properly according to a communication state. A system for controlling a power system includes a plurality of sensor devices configured to output measurement data; a first control apparatus configured to estimate a first power state of the power system by using the measurement data obtained by the plurality of sensor devices, calculate a first controlled variable according to the estimated first power state, and output the calculated first controlled variable; and at least a second control apparatus configured to execute a predetermined control operation according to either the first controlled variable calculated in the first control apparatus, or a second controlled apparatus calculated in the second control apparatus. When it is not able to obtain part of the measurement data, the first control apparatus estimates the first power state by using predetermined measurement data among the obtained measurement data.