Simulation of Photovoltaic Systems
    1.
    发明申请

    公开(公告)号:US20190197203A1

    公开(公告)日:2019-06-27

    申请号:US16215216

    申请日:2018-12-10

    Abstract: A method for generating/updating a database of current-voltage characteristic curves is disclosed. This method includes simulating for at least one combination of a topology of a photovoltaic cell group, an internal cell temperature(s) and a cell irradiation(s), a model of the photovoltaic cell group to provide a representative current-voltage characteristic curve, and clustering the current-voltage characteristic curves to identify at least one plurality of similar current-voltage characteristic curves. The method also includes generating a many-to-one mapping in the database to map query requests corresponding to each of the at least one plurality of similar current-voltage characteristic curves onto a single representative current-voltage characteristic curve for that plurality, each query request identifying a topology of a photovoltaic cell group, at least one internal temperature for the photovoltaic cells in the photovoltaic cell group and at least one cell irradiation for the photovoltaic cells in the photovoltaic cell group.

    Simulation of photovoltaic systems

    公开(公告)号:US10963603B2

    公开(公告)日:2021-03-30

    申请号:US16215216

    申请日:2018-12-10

    Abstract: A method for generating/updating a database of current-voltage characteristic curves is disclosed. This method includes simulating for at least one combination of a topology of a photovoltaic cell group, an internal cell temperature(s) and a cell irradiation(s), a model of the photovoltaic cell group to provide a representative current-voltage characteristic curve, and clustering the current-voltage characteristic curves to identify at least one plurality of similar current-voltage characteristic curves. The method also includes generating a many-to-one mapping in the database to map query requests corresponding to each of the at least one plurality of similar current-voltage characteristic curves onto a single representative current-voltage characteristic curve for that plurality, each query request identifying a topology of a photovoltaic cell group, at least one internal temperature for the photovoltaic cells in the photovoltaic cell group and at least one cell irradiation for the photovoltaic cells in the photovoltaic cell group.

    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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