Siemens Aktiengesellschaft

Ulrich Münz

Joachim Bamberger

Xiaofan Wu

Florian Steinke

Rudolf Sollacher

Volker Tresp

Michael Metzger

Philipp Wolfrum

Michael Bernhard Buhl

Denis Krompaß

Sebnem Rusitschka

Edward Slavin, Iii

Jeremy Ralph Wiles

Amer Mesanovic

Chris Oliver Heyde

A method and system for localizing faults in an industrial process is proposed. The industrial process includes a plurality of components. The method includes receiving structural plant data from an industrial plant. A structured model of the process is generated from the structural plant data. Sensor data measuring characteristics of the plurality of components is also received. Parameters of the structured model are identified from the received sensor data and stored. Faults are detected during operation of the industrial plant utilizing the identified parameters and detecting changes in the parameters by comparing current parameters to stored parameters. The fault information is then displayed via a display to an operator.

Online fault localization in industrial processes without utilizing a dynamic system model

Systems, methods, and computer-readable media are disclosed for autonomous restoration of power systems after natural disasters. An operating mode of a circuit breaker that is in a power system grid and that is coupled to other circuit breakers in the power system grid via communication channels is determined. Based on determining that the operating mode is a normal operating mode, data to parameterize a plurality of power grid restoration scenarios is collected at the circuit breaker. Based on determining that the operating mode is an exception mode, measurement data that includes current and voltage data is received at the circuit breaker, and one of the power system grid restoration scenarios is initiated at the circuit breaker. The power system grid error restoration scenario is selected based at least in part on a status of the plurality of communication channels coupled to the circuit breaker and on the measurement data.

Autonomous restoration of power systems after natural disasters

A method for designing a product comprising physical hardware and a controller for controlling the physical hardware includes generating a detailed hardware model describing the physical hardware and a controller model corresponding to the controller based on a set of user requirements. An optimal design of the physical hardware and the controller is determined by solving a multi-objective optimization problem comprising a first objective function defining hardware design objectives, and a second objective function defining objectives for the controller model for the physical hardware.

Joint hardware and controller design

A power distribution and control system for use with a bulk generation system having transmission and distribution systems, the power distribution and control system including a plurality of microgrids each including a power generation element and a load, a plurality of microgrid controllers each associated with one and only one of the plurality of microgrids, and a first communication network. A high-level controller is operable using the first communication network to communicate with the bulk generation system and each of the plurality of microgrid controllers, the high-level controller operable to coordinate the operation of the microgrids during normal system operation. A second communication network is separate from the first communication network, the second communication network providing peer to peer communication between each of the plurality of microgrid controllers when at least one of the high-level controller and the first communication network is not available, and a plurality of third communication networks provide communication between one of the plurality of microgrid controllers and at least one of the power generation element and the load associated with that microgrid controller.

Distributed energy resource management system

A method for computer-supported control of the power in an electrical power supply network, including a plurality of nodes which are connected to one another via power lines, each containing a first energy generator and/or a second energy generator and/or an energy consumer is provided. A power estimation is provided for each node, which is composed of an estimation of the future load of the energy consumer and an estimation of the future power of the second regenerative energy generator in the respective node. Fluctuations of a first type of the power estimations for the respective nodes are permitted in a first predetermined tolerance region, and fluctuations of a second type of the power estimations are permitted in a second predetermined tolerance region. The fluctuations of the first type are compensated by primary balancing power and the fluctuations of the second type are compensated by secondary balancing power.

Method for the computer-aided control of the power in an electrical grid

A method for operating a network, such as an automation network, for example, has multiple node devices provided that are networked to one another. There is a global time available, and the node devices record their operating parameters. The operating parameters are allocated to a respective address element as content elements in order to be stored in a tensorial database structure. Control or adaptation of the operation of the network with its node devices and couplings is facilitated thereby. The method is suitable particularly for use in supply networks, automated production installations, communication networks, transport networks and logistical networks. The proposed storing allows easy visualisation, depiction and evaluation of operating states of the network and of its node devices.

Method for operating a network having multiple node devices, and network

A multi-generator power plant arrangement, energy supply network having a multi-generator power plant arrangement and method for distributing reactive power generation in a multi-generator power plant arrangement, is provided. A multi-generator power plant arrangement, and also a method for distributing reactive power generation in a multi-generator power plant arrangement, is provided. The control parameters for the controllers of the individual generators of a multi-generator power plant arrangement are thereby calculated individually on the basis of predetermined parameters and transmitted to the controllers of the individual generators. Consequently, the reactive power component to be generated in each case can be individually specified for each generator of a multi-generator power plant arrangement.

Multi-generator power plant arrangement, energy supply network having a multi-generator power plant arrangement and method for distributing reactive power generation in a multi-generator power plant arrangement

An electricity grid is provided including an AC electricity grid and a DC electricity grid coupled thereto via a converter, a first load flow in the AC electricity grid is modeled by a first load flow model and a second load flow in the DC electricity grid is modeled by a second load flow model. The converter controls an active power flow between the AC electricity grid and the DC electricity grid in dependence on a grid voltage of the DC electricity grid, wherein this dependence is adjustable in a control characteristic of the converter by a first coupling parameter.

Method and control device for robust optimization of an electricity grid

An electrical grid, using physical operating data of the electrical grid a current operating status of the electrical grid is determined by way of a network model of the electrical grid is provided. A first grid component is controlled as a function of a control signal by a regulator with a grid-component-internal control circuit which is adjustable via control parameters. A first component model of the first grid component is imported to determine a dynamic reaction of the first grid component to the control signal depending on the control parameters.

Method and control device for controlling an electrical grid

A method for the computer-assisted configuration of an electrical power grid is provided. Grid forming generating unit nodes are provided in the power grid as first grid nodes and grid-boosting generating unit nodes are optionally provided as second grid nodes. The latter nodes are regenerative energy generation plants such as, for example, photovoltaic systems. In the method, closed-loop control methods and in particular proportional control of the generating unit nodes are set on the basis of a suitable dynamic model of the power grid such that an optimization problem is solved with the aim of optimum operation of the power grid in respect of one or more optimization criteria.

Method for the computer-assisted configuration of an electrical power grid

A power balance-dependent operating parameter and a surroundings parameter of a first energy source, such as a renewable energy source, are provided. A variable target operating parameter for the first energy source is ascertained dependent on the detected surroundings parameter. The target operating parameter can characterize a first energy source state in which a maximally possible output would be generated under the current given conditions of the surroundings. The operating frequency is then controlled dependent on the detected power balance dependent operating parameter and the ascertained target operating parameter such that a deviation of the operating frequency from a specified frequency is coupled to a deviation of the detected power balance-dependent operating parameter from the ascertained target operating parameter.

Method and control device for controlling an operating frequency of an energy source in an AC voltage network

Disclosed is a subnetwork controller for a subnetwork within an interconnected grid. The controller controls power generators, subnetworks, or loads of the subnetwork in accordance with sensor-captured internal measured variables and sensor-captured external measured variables as well as external controlled variables of the subnetwork in such a way that a dynamic behavior of the subnetwork in relation to its adjacent subnetworks corresponds to a defined desired behavior.

Method and device for controlling power generators of a subgrid within an interconnected grid

A method for computer-aided control of power in an electrical grid is provided. The electrical grid has a redetermined rated frequency and includes network nodes that are interconnected via power supply lines, each of the nodes supplying power to or drawing power from the electrical grid. At least part of the nodes are provided with proportional controllers, for which a reference power and/or a proportionality factor is set, and which control the power that is supplied or drawn by each network node based on the difference between the frequency of the voltage in each network node and the rated frequency of the electrical grid. The reference power and the proportionality factor of at least some of the proportional controllers are determined on the basis of solving an optimization problem. The stability and robustness of the operation of the electrical grid is optimized without the need for carrying out complex simulations.

For controlling a voltage in a power grid including a PV bus and a PQ bus, a first tolerance range for an active power of the PV bus and a second tolerance range for an active power of the PQ bus are received. A first value for a reactive power of the PQ bus is received. With that, a robust optimization process is run for a set of power flow equations. The first and second tolerance ranges and the first reactive power value are input to the robust optimization process using the first and second tolerance ranges as robust optimization uncertainty. With that, the robust optimization process determines a voltage set point for the PV bus so that the set of power flow equations is fulfilled for the first and second tolerance ranges. According to the determined voltage set point, a voltage at the PV bus is controlled.

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Munich, Germany

Ulrich Münz