Abstract:
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.
Abstract:
A battery management system for a rechargeable battery (1) is disclosed which comprises: a) a control system (2) configured to control, b) a numerical battery model (3), comprising i) a parametrized electric model (31); ii) a parametrized thermal model (32); iii) an aging model (33) configured to provide (1) 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; (2) updated electric parameters and/or updated thermal parameters based on a chronological sequence of internal temperature as obtained from the parametrized thermal model; c) a control system settings update unit (21) configured to adapt controller settings based on stress parameters.
Abstract:
To determine a three-dimensional layout of electrical connections of an electric component, a processor executes a path optimization routine (43) to determine three-dimensional routes for a plurality of electrical connections of the electric component. A conflict management (44) is performed to generate conflict-free three-dimensional routes for the plurality of electrical connections.
Abstract:
Techniques for determining a configuration for deployment of a public transportation system comprising a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor (71) 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.
Abstract:
The present invention of operating a first battery system (10), wherein the first battery system (10) is part of a plurality of interconnected battery systems (10, 12, 14, 16), wherein - at least the first battery system (10) of the plurality of battery systems (10, 12, 14, 16) is positioned in a first electrically driven vehicle of public transport and at least a second battery system (12, 14, 16) of the plurality of battery systems (10, 12, 14, 16) is positioned in a second electrically driven vehicle of public transport, wherein - at least the first battery system (10) is connected to at least the second battery system (12, 14, 16) via a data connection (11), wherein - the first battery system (10) is operated based at least on operating information of the first battery system (10) and of the second battery system (12, 14, 16), and wherein - the operating information of the first battery system (10) comprise at least one of location information, driving information, and status information of the first battery system (10) and wherein the operating information of the second battery system (12, 14, 16) comprise at least one of location information, driving information, and status information of the second battery system (12, 14, 16). Such a method provides an improved reliability of a system of public transport.
Abstract:
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 P 0 and P c , 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 c - P 0 .
Abstract:
A method for operating an ensemble of electric assets powered by a set S of rechargeable electric storage units is disclosed, said assets being configured to perform a primary purpose, unrelated to storage or provision of electric energy, in particular a transportation task, according to a pre-determined schedule, the method including the steps of a) selecting, at a time to, based on the schedule, a first subset S 1 of the rechargeable electric storage units for providing ancillary grid services to a grid operator during an interval of time [ t 1 , t 2 ] in a future of to; b) determining, based on properties of the subset S 1 , related to the ancillary services; c) communicating said specifications to a grid operator; d) during the interval of time [ t 1 , t 2 ], providing ancillary grid services in accordance with the specifications, wherein at least a second subset S 2 of rechargeable electric storage units, said second subset being a subset of the first subset S 1 , preferably being identical to the first subset, is used to store or supply electric energy, wherein e) a state of health, in particular a remaining expected lifetime, for each electric storage unit of a third subset S 3 of electric storage units, preferably all rechargeable electric storage units, is taken into account in the selection in step a).