Abb Schweiz Ag

Hitachi Energy Switzerland Ag

Hitachi Energy Ltd

Jan Poland

Kedar Kulkarni

Carsten Franke

Adrian Vasile Timbus

Silvia Mastellone

Alessandro Zanarini

Yan Zhang

James Ottewill

Alexandre Oudalov

Daniel Chartouni

Mehmet Mercangoez

Philippe Stefanutti

Harry Zueger

Ioannis Lymperopoulos

Timothy Patey

Erald Pjetri

Adamantios Marinakis

Reto Flueckiger

Yaman Cansin Evrenosoglu

Yousef Maknoon

Hans Joachim Ferreau

Michel Bierlaire

Ming Zhang

Raphael Kegelin

Riccardo Scarinci

Thomas Hertwig

Virginie Lurkin

Pawel Dawidowski

Mathieu Horsky

S Sharif Azadeh

Sinisa Zubic

Machine learning, ML, using labeled data is performed to thereby train a ML model to generate decision logic for a controller of an IACS, in particular a power system controller. The ML model has ML model inputs and ML model outputs. The ML model is decomposed into a plurality of computational sub-processes, wherein intermediate signals output by one of the computational sub-processes are input into a consecutive one of the computational sub-processes. Information on the trained ML model is generated based on the intermediate signals and is output for interpretation, verification, visualization, and/or inspection of at least one of the computational sub-processes.

Method and computer system for generating a decision logic for a controller

To determine a three-dimensional layout of electrical connections of an electric component, a processor executes a path optimization routine to determine three-dimensional routes for a plurality of electrical connections of the electric component. A conflict management is performed to generate conflict-free three-dimensional routes for the plurality of electrical connections.

Method of determining a three-dimensional layout of electrical connections of an electric component

A battery management system for a rechargeable battery is disclosed which includes a control system configured to control, a numerical battery model, including a parametrized electric model; a parametrized thermal model; an aging model configured to provide stress parameters indicative of an instantaneous consumption of an expected lifetime of the battery in dependence on an internal temperature of the battery, and one or more of momentary state of charge, current, voltage and power delivered; updated electric parameters and/or updated thermal parameters based on a chronological sequence of internal temperature as obtained from the parametrized thermal model; a control system settings update unit configured to adapt controller settings based on stress parameters.

Method and system for controlling a rechargeable battery

A method can be used to perform a state of health (SoH) estimation for a rechargeable battery energy storage system during operation of the rechargeable battery energy storage system. The rechargeable battery energy storage system includes a plurality of parallel strings that are individually controllable. The method includes selecting at least one string from the plurality of parallel strings, placing the selected at least one string into a SoH calibration mode for performing a SoH calibration while concurrently maintaining at least one other string of the plurality of parallel strings in operative mode, and causing the selected at least one string to return to the operative mode after the SoH calibration has been completed for the selected at least one string.

Method of performing a state of health estimation for a rechargeable battery energy storage system

Techniques for determining a configuration for deployment of a public transportation system including a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor may determine, prior to deployment of the public transportation system and based on received information on timetables and geographical route profiles, a fleet size of a fleet of electric public transportation vehicles, on-board battery parameters of on-board batteries to be installed in electric public transportation vehicles, and charging infrastructure parameters associated with a charging infrastructure to be installed for charging the on-board batteries of the electric public transportation vehicles.

Method and device for determining a configuration for deployment of a public transportation system

The present invention relates to a method of operating a wind farm comprising an upstream and a downstream turbine, wherein the upstream turbine is operated with current operation parameters under current wind conditions, wherein the method comprises the steps of: receiving future wind conditions for a time period for the wind farm, and evaluating required operation parameters for minimising wake effect of the downstream turbine under the future wind conditions, and determining a cost coefficient for changing the operation parameters to required operation parameters under consideration of fatigue effect of the wind turbine, calculating power productions Pand P, in the predetermined time period, by the wind farm if operated with the current operation parameters under the current wind conditions and if operated with the required operation parameters under the future wind conditions, respectively, and operating the upstream turbine with the required operation parameters if the cost coefficient is lower than a cost that would be obtained by a power production increment P-P.

Optimal wind farm operation

The present invention is concerned with an operation of a wind farm with a plurality of wind turbines in view of a dynamic frequency response. According to the invention, dynamic frequency support and power production for all wind turbines in a wind farm are handled concurrently in a single optimization step and taking into account wake effects within the wind farm as well as optional wind forecast information. The dynamic frequency support capability of the entire wind farm is planned in advance according to grid requirements and power system condition changes. While existing methods de-load wind turbines with a static percentage in order to supply additional power when needed, the proposed method incorporates the dynamic frequency support into the optimal operation system of wind farm.

Wind farm inertial response

Growing community of inventors

Nussbaumen, Switzerland

Jan Poland