SCALABLE STATE ESTIMATION FOR POWER DISTRIBUTION GRID

    公开(公告)号:US20230327438A1

    公开(公告)日:2023-10-12

    申请号:US17717405

    申请日:2022-04-11

    CPC classification number: H02J3/003 G01R19/2513 H02J2203/20

    Abstract: Provided is a system and method for determining the state estimate of a power grid by dividing the power grid into smaller sub-sections, generating state estimates for each sub-section, and then generating a consensus among the sub-sections. In one example, the method may include partitioning a section of the power distribution grid into a plurality of sub-sections based on loads distributed within the section of the power distribution grid, generating a plurality of state estimates for the plurality of sub-sections based on load distribution within the plurality of sub-sections and a Kalman Filter model, generating an aggregate state estimate for the section of the power distribution grid based on an aggregate of the plurality of state estimates and a boundary consensus between the plurality of sub-sections from a previous state estimation, and displaying data about the aggregate state estimate via a user interface.

    SYSTEMS AND METHODS FOR CONTROLLING DISTRIBUTED POWER SYSTEMS USING DOWN-SAMPLING

    公开(公告)号:US20210091565A1

    公开(公告)日:2021-03-25

    申请号:US16577791

    申请日:2019-09-20

    Abstract: A method for controlling a distributed power system is provided, the power system including an aggregator communicatively coupled to a plurality of nodes. The method includes receiving, at the aggregator, a specified aggregated power level, and at each of a plurality of sample times recurring at a regular interval, receiving, at the aggregator from each of the nodes, a condensed dataset, calculating, at the aggregator, a global value based on the specified aggregated power level, the condensed datasets, and a control prediction horizon, transmitting the global value to each of the nodes, solving, at each of the plurality of nodes, a local optimization problem based on the received global value and a local model prediction horizon for that node that is longer than the control prediction horizon, and controlling, at each of the plurality of nodes, a load based on the solved local optimization problem.

    Flight management via model-based iterative optimization

    公开(公告)号:US10832581B2

    公开(公告)日:2020-11-10

    申请号:US15476351

    申请日:2017-03-31

    Abstract: A system, computer-readable medium, and a method including obtaining flight data for a specific aircraft for a prescribed flight; obtaining current sample measurements of at least one state or output of the specific aircraft; performing based on the obtained flight data, the current measurements or outputs, and a mathematical model accurately representing an actual operational performance of the specific aircraft and providing a predictive indication of a future performance of the specific aircraft, a control optimization to determine a cost-optimal control input for the prescribed flight; adjusting, in response to a consideration of actual operational characteristics of the specific aircraft, the optimized control input; and transmitting the adjusted optimized control input to the specific aircraft to operate the specific aircraft to minimize the direct operating cost for the prescribed flight.

    Distributed optimal control of an aircraft propulsion system

    公开(公告)号:US11003146B2

    公开(公告)日:2021-05-11

    申请号:US16527896

    申请日:2019-07-31

    Abstract: Some embodiments provide a distributed optimization framework and technology for the control of aggregated propulsion system components that iteratively operates until a commanded propulsion-related profile is produced by aggregated components of the propulsion system. Some embodiments use a distributed iterative solution in which each component solves a local optimization problem with local constraints and states, while using global variables that are based upon information from each other component. The global variables may be determined via a distributed transaction system using component-specific information obtained from each component at each iteration. The global variables may be broadcast to the components for each new iteration.

    SYSTEMS AND METHODS FOR RAPIDLY RESPONDING TO COMMANDED POWER PROFILES

    公开(公告)号:US20220037916A1

    公开(公告)日:2022-02-03

    申请号:US17274980

    申请日:2018-09-13

    Abstract: A method for controlling a distributed power system is provided, the system including an aggregator communicatively coupled to a plurality of nodes, each of the plurality of nodes including an associated load. The method includes receiving, at the aggregator, a commanded power profile from an independent service operator, the commanded power profile including a commanded power deviation for the distributed power system, calculating, using the aggregator, a score for each of the plurality of nodes based on a current operating power of each node, selecting, using the aggregator, a subset of the plurality of nodes based on the calculated scores, and commanding, using the aggregator, each node in the subset to adjust its current power by a respective predetermined amount, the predetermined amounts determined based on the commanded power deviation.

    Distributed ledger based control of large-scale, power grid energy resources

    公开(公告)号:US10673273B2

    公开(公告)日:2020-06-02

    申请号:US15983668

    申请日:2018-05-18

    Abstract: Some embodiments may provide a distributed optimization technology for the control of aggregation of distributed flexibility resource nodes (e.g., associated with distributed energy resources) that operates iteratively until a commanded power profile is produced by aggregated loads. Some embodiments use a distributed iterative solution in which each node solves a local optimization problem with local constraints and states, while using global qualities (e.g., associated with a Lagrange multiplier) that are based upon information from each other node. The global qualities may be determined via a secure, distributed transaction ledger (e.g., associated with blockchain) using DER-specific information obtained in a condensed form (e.g., a scalar or vector) from each node at each iteration. The global qualities may be broadcast to the nodes for each new iteration. Embodiments may provide an iterative, distributed solution to the network optimization problem of aggregated load power tracking.

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