Method and device for determining energy system operating scenario

    公开(公告)号:US10956993B2

    公开(公告)日:2021-03-23

    申请号:US16426410

    申请日:2019-05-30

    Abstract: A computer-implemented method and related device are disclosed for determining a plurality of operating scenarios of an energy system. The method comprises obtaining a plurality of performance measures of the energy system as a function of time corresponding to a plurality of sets of values of input variables. The method comprises clustering the plurality of sets of values of the input variables and the performance measures associated therewith into groups and defining a descriptor for each of the groups. The method also comprises outputting the descriptors of the groups for use in an online prediction or offline estimation of the energy system.

    Multi-scale optimization framework for smart energy systems

    公开(公告)号:US11537091B2

    公开(公告)日:2022-12-27

    申请号:US16928431

    申请日:2020-07-14

    Applicant: IMEC VZW

    Abstract: A localized smart energy management system comprises a plurality of controllable loads, at least one intermittent energy source, a selectively connectable dispatchable energy source, and optionally an energy storage system. A method for balancing power production and power consumption of such localized smart energy management systems in real time comprises performing a coarse-grained optimization in a first layer of a hierarchical optimization structure to generate a predicted schedule, based on long-term load demand profiles and long-term power generation profiles. A second layer iteratively refines the predicted schedule upon receiving a new forecast of a short-term power generation profile for the at least one intermittent energy source.

    Multi-Scale Optimization Framework for Smart Energy Systems

    公开(公告)号:US20210011439A1

    公开(公告)日:2021-01-14

    申请号:US16928431

    申请日:2020-07-14

    Applicant: IMEC VZW

    Abstract: A localized smart energy management system comprises a plurality of controllable loads, at least one intermittent energy source, a selectively connectable dispatchable energy source, and optionally an energy storage system. A method for balancing power production and power consumption of such localized smart energy management systems in real time comprises performing a coarse-grained optimization in a first layer of a hierarchical optimization structure to generate a predicted schedule, based on long-term load demand profiles and long-term power generation profiles. A second layer iteratively refines the predicted schedule upon receiving a new forecast of a short-term power generation profile for the at least one intermittent energy source.

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