Abstract: The present application relates to a method for determining a power grid topology. The method may comprise: determining at least one loop of the power grid; determining a plurality of grid busses located at sections of the at least one loop of the power grid; performing at least one statistical evaluation on measured data associated with the grid busses of the plurality of grid busses to calculate weights indicating that grid busses of a section or of a segment comprising at least two adjacent sections are connected to each other; and determining a power grid topology based on the calculated weights. The present application also relates to a respective device and a respective computer program product.

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.

Abstract: The present disclosure relates to a method and system for evaluating a grid condition of an AC power grid. A time series of voltage and current signals of the AC power grid is captured and a local frequency of the AC power grid is identified. The time series of the voltage and current signals is transformed at the identified local frequency of the AC power grid into transformed signals. Equivalent circuit parameters are estimated from the transformed signals based on a description of an equivalent circuit of the AC power grid. A value of a grid condition indicator is determined based on the calculated equivalent circuit parameters and the identified local frequency of the AC power grid and processed in a grid monitoring system for evaluating the grid condition of the AC power grid.

Abstract: The present disclosure relates to a method for determining phase connections of grid components in a power grid, the method comprising assessing a relative similarity of time series of measured voltage data of the grid components by clustering the time series of measured voltage data of the grid components; grouping the grid components into a plurality of clusters based on the assessing a relative similarity; and assessing a phase connection of the grid components in each cluster of the plurality of clusters. The present disclosure also relates to a respective device and computer program.

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.

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.