公开(公告)号：US20200161871A1

公开(公告)日：2020-05-21

申请号：US16690178

申请日：2019-11-21

Applicant: ABB Power Grids Switzerland AG

Inventor： Susanne Schmitt ,  Marco Giuntoli

IPC: H02J4/00 ,  H02J5/00 ,  H02J3/00 ,  G05B13/04

Abstract: A network system includes a hybrid AC/DC-grid and a network control component. The hybrid AC/DC-grid includes an AC grid; a DC grid; and at least one converter configured to connect the AC grid with the DC grid. The network control component is configured to control the hybrid AC/DC-grid by applying a full non-linear security-constrained optimal power flow model.

公开(公告)号：US20200302325A1

公开(公告)日：2020-09-24

申请号：US16821060

申请日：2020-03-17

Applicant: ABB Power Grids Switzerland AG

Inventor： Marco Giuntoli ,  Veronica Biagini

IPC: G06N7/00 ,  G06N20/00

Abstract: A method can be used to determine a security-constrained optimal power flow (SC-OPF) of a power grid. Input data associated with a power grid scenario is obtained. The input data defines a security-constrained optimization problem (SC-OPF problem). The power grid scenario includes a power grid structure, a power demand and a generator capability and/or cost. Power flows in branches of the power grid that are equal to or greater than limits for a contingency associated with the power grid scenario are estimated based on the obtained input data by an AI. A modified optimization problem which is smaller than the SC-OPF problem is solved based on the estimated power flows.