Optimizing sizing of grid-scale batteries for frequency regulation services

    公开(公告)号:US10234511B2

    公开(公告)日:2019-03-19

    申请号:US14846149

    申请日:2015-09-04

    Abstract: Systems and methods for optimal sizing of one or more grid-scale batteries for frequency regulation service, including determining a desired battery output power for the one or more batteries for a particular period of time. A battery size is optimized for the one or more batteries for the particular period of time, and the optimizing is repeated using different time periods to generate a set of optimal battery sizes based on at least one of generated operational constraints or quality criteria constraints for the one or more batteries. A most optimal battery is selected from the set of optimal battery sizes.

    ADAPTIVE POWER MANAGEMENT OF ENERGY STORAGE FOR PV OUTPUT CONTROL

    公开(公告)号:US20190036482A1

    公开(公告)日:2019-01-31

    申请号:US16037381

    申请日:2018-07-17

    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.

    OPTIMAL SIZING OF ENERGY STORAGE UNITS IN DEMAND CHARGE MANAGEMENT AND PV UTILIZATION APPLICATIONS

    公开(公告)号:US20190005554A1

    公开(公告)日:2019-01-03

    申请号:US15992955

    申请日:2018-05-30

    Abstract: A system, method, and computer-program product are provided for controlling a distributed energy storage system (ESS) operatively coupled to one or more microgrids. The system includes a memory for storing program code. The system further includes a processor for running the program code to respectively assign a first, a second, and a third set of weights to a first, a second, and a third objective function formulated to minimize an ESS cost, minimize a Demand Charge (DC) cost, and maximize a Photovoltaic utilization, respectively. The processor further runs the program code to execute a multi-objective ESS optimizing engine to obtain a set of different monthly-based optimal solutions for controlling the ESS by concurrently processing the first, the second, and the third objective functions using different ones of the weights from the first, the second, and the third set of weights.

    ENERGY MANAGEMENT SYSTEM WITH INTELLIGENT ANOMALY DETECTION AND PREDICTION

    公开(公告)号:US20180330250A1

    公开(公告)日:2018-11-15

    申请号:US15974155

    申请日:2018-05-08

    CPC classification number: G06N5/04 G06N99/005 H02J13/0006

    Abstract: A computer-implemented method for detecting and predicting anomalies in an energy management system is presented. The method includes detecting, in real-time, a first set of outliers for a plurality of energy devices under operation, predicting a second set of outliers for running the plurality of energy devices, analyzing historical energy data of the plurality of energy devices to extract a third set of outliers, receiving feedback, in real-time, from a user regarding each of the first, second, and third sets of outliers, and training the energy management system with the real-time feedback received from the user to automatically optimize a threshold of error detection.

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