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公开(公告)号：US20200083713A1
公开(公告)日：2020-03-12
申请号：US16681054
申请日：2019-11-12
IPC分类号： H02J3/38 , H02J13/00 , G05B19/042 , H02J3/46 , H02J3/32
摘要： An example device includes a processor configured to receive a plurality of voltage values representing respective voltage magnitudes at voltage nodes in a first portion of a power system and determine, for each voltage node, a respective value of first and second voltage-constraint coefficients. The processor is also configured to receive a power value corresponding to a connection point of the first portion of the power system with a second portion of the power system and determine for the connection point, a respective value of first and second power-constraint coefficients. The processor is also configured to cause at least one energy resource connected to the first portion of the power system to modify an output power of the at least one energy resource based on the value of the first and second voltage-constraint coefficients for each voltage node and the value of the first and second power-constraint coefficients.
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公开(公告)号：US20230349359A1
公开(公告)日：2023-11-02
申请号：US18341866
申请日：2023-06-27
发明人： Jennifer Rose KING , Paul Aaron FLEMING , Emiliano DALL'ANESE , Christopher Joseph BAY , Peter Andrew GRAF
CPC分类号： F03D7/0204 , F03D17/00 , F03D7/046 , F03D7/048 , F03D7/045 , F05B2270/326 , F05B2270/204 , F05B2260/821 , F05B2270/321
摘要： Disclosed herein are methods, systems, and devices for utilizing distributed reinforcement learning and consensus control to most effectively generate and utilize energy. In some embodiments, individual turbines within a wind farm may communicate to reach a consensus as to the desired yaw angle based on the wind conditions.
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公开(公告)号：US20210143638A1
公开(公告)日：2021-05-13
申请号：US17096651
申请日：2020-11-12
申请人： Alliance for Sustainable Energy, LLC , The Regents of the University of Colorado, a body corporate
摘要： The present disclosure provides techniques for estimating network states using asynchronous measurements by leveraging network inertia. For example, a device configured in accordance with the techniques of the present disclosure may receive electrical parameter values corresponding to at least one first location within a power network and determine, based on the electrical parameter values and a previous estimated state of the power network, an estimated value of unknown electrical parameters that correspond to a second location within the power network. The device may further cause at least one device within the power network to modify operation based on the estimated value of the unknown electrical parameters. The leveraging of network inertia may obviate the need for probabilistic models or pseudo-measurements.
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公开(公告)号：US20210310461A1
公开(公告)日：2021-10-07
申请号：US17264967
申请日：2019-07-31
发明人： Jennifer Rose KING , Paul Aaron FLEMING , Emiliano DALL'ANESE , Christopher Joseph BAY , Peter Andrew GRAF
摘要： Disclosed herein are methods, systems, and devices for utilizing distributed reinforcement learning and consensus control to most effectively generate and utilize energy. In some embodiments, individual turbines within a wind farm may communicate to reach a consensus as to the desired yaw angle based on the wind conditions.
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公开(公告)号：US20180226799A1
公开(公告)日：2018-08-09
申请号：US15892730
申请日：2018-02-09
摘要： The present disclosure provides techniques for network-cognizant droop control in power systems, such as a power distribution system. An example device includes a processor configured to determine, based on (i) a model representing a structure of a power system that includes a plurality of energy resources and (ii) an indication of predicted uncontrollable power injections in the power system, for each controllable energy resource in the plurality of energy resources, a respective value of a first droop coefficient and a respective value of a second droop coefficient. The processor may be further configured to cause at least one controllable energy resource in the plurality of energy resources to modify an output power of the at least one energy resource based on the respective value of the first droop coefficient and the respective value of the second droop coefficient.
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公开(公告)号：US20210184470A1
公开(公告)日：2021-06-17
申请号：US17168810
申请日：2021-02-05
IPC分类号： H02J3/38 , G05B19/042 , H02J3/32 , H02J3/46
摘要： An example device includes a processor configured to receive a plurality of voltage values representing respective voltage magnitudes at voltage nodes in a first portion of a power system and determine, for each voltage node, a respective value of first and second voltage-constraint coefficients. The processor is also configured to receive a power value corresponding to a connection point of the first portion of the power system with a second portion of the power system and determine for the connection point, a respective value of first and second power-constraint coefficients. The processor is also configured to cause at least one energy resource connected to the first portion of the power system to modify an output power of the at least one energy resource based on the value of the first and second voltage-constraint coefficients for each voltage node and the value of the first and second power-constraint coefficients.
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公开(公告)号：US20180138711A1
公开(公告)日：2018-05-17
申请号：US15814532
申请日：2017-11-16
IPC分类号： H02J3/38 , H02J13/00 , G05B19/042
摘要： An example device includes a processor configured to receive a plurality of voltage values corresponding to voltage nodes in a first portion of a power system and determine, for each voltage node, a respective value of first and second voltage-constraint coefficients. The processor is also configured to receive a power value corresponding to a connection point of the first portion of the power system with a second portion of the power system and determine for the connection point, a respective value of first and second power-constraint coefficients. The processor is also configured to cause at least one energy resource connected to the first portion of the power system to modify an output power of the at least one energy resource based on the value of the first and second voltage-constraint coefficients for each voltage node and the value of the first and second power-constraint coefficients.
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公开(公告)号：US20170249404A1
公开(公告)日：2017-08-31
申请号：US15443390
申请日：2017-02-27
发明人： James L. CALE , Emiliano DALL'ANESE , Brian Benjamin JOHNSON , Peter Michael YOUNG , Daniel ZIMMERLE , Leah Michelle HOLTON
IPC分类号： G06F17/50
CPC分类号： G06F17/5036 , G06F2217/04
摘要： An example system includes a simulation system that emulates a first portion of an electrical system and controls, based on the first portion, electrical inputs to a device under test. The system also includes an observation device, operatively coupled to the simulation system, that receives a delayed version of a remote emulation value, which represents a second portion of the electrical system. The remote emulation value is generated by another, physically separate simulation system. The observation device is further configured to determine, based on the delayed version of the remote emulation value and a model of the second portion, a respective real-time estimation of the remote emulation value, and output, to the simulation system, the respective real-time estimation. The simulation system is further configured to emulate the first portion based on the respective real-time estimation of the remote emulation value.
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公开(公告)号：US20170214244A1
公开(公告)日：2017-07-27
申请号：US15418272
申请日：2017-01-27
申请人： Alliance for Sustainable Energy, LLC , Delft University of Technology , Regents of the University of Minnesota
CPC分类号： H02J3/382 , H02J3/06 , H02J3/16 , H02J3/32 , H02J3/383 , H02J3/386 , H02J3/387 , H02J13/0062 , Y02E10/563 , Y02E10/566 , Y02E10/763 , Y02E40/34 , Y02E40/72 , Y02E60/722 , Y02E60/726 , Y04S10/12 , Y04S10/123 , Y04S10/14 , Y04S10/24
摘要： An example device includes a processor configured to receive a plurality of voltage measurements corresponding to nodes in a distribution network, and determine, for each respective node: a value of a first coefficient, based on a previous value of the first coefficient, a minimum voltage value for the node, and a voltage measurement that corresponds to the node, and a value of a second coefficient based on a previous value of the second coefficient, a maximum voltage value for the node, and the voltage measurement. The processor of the example device is also configured to cause an inverter-interfaced energy resource connected to the distribution network to modify its output power based on the value of the first coefficient for each node and the value of the second coefficient for each node.
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