# US 2017/0288404 A1 · Method and control device for controlling an electricity grid

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- Number: US 2017/0288404 A1
- Document ID: US20170288404A1
- Status: Published application
- Kind: A1
- Application number: 15/473,663
- Filed: 2017-03-30
- Published: 2017-10-05
- Earliest claimed: 2016-04-01
- Assignees: Siemens Aktiengesellschaft
- Applicants: Siemens Aktiengesellschaft
- Inventors: ULRICH MÜNZ; AMER MESANOVIC
- Web page: https://patentgrep.com/patent/US20170288404A1

## CPC

- G05B 13/041: {in which a variable is automatically adjusted to optimise the performance}
- H02J 3/36: Arrangements for transfer of electric power between AC networks via high-voltage DC [HVDC] links; Arrangements for transfer of electric power between generators and networks via HVDC links
- H02J 2103/30: Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks
- Y02E 60/00: Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E 60/60: Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]
- Y04S 40/20: Information technology specific aspects, e.g. CAD, simulation, modelling, system security
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS

## Abstract

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.

## Claims

### Claim 1

A method for controlling an electricity grid comprising an AC electricity grid and a DC electricity grid coupled thereto via a converter, wherein:
a) 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,
b) 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,
c) a first tolerance range for an infeed active power of a generator and/or for an active load of a consumer is read in,
d) a process for robust optimization of a predefined cost function is performed using the first tolerance range as robust optimization uncertainty, wherein, by the first and second load flow models, the first and second load flows, the active power flow, the grid voltage of the DC electricity grid and also the first coupling parameter are combined and the first coupling parameter is determined in such a way that the cost function is optimized, and
e) the control characteristic of the converter is set by the first coupling parameter determined in this way.

### Claim 2 (depends on 1)

The method as claimed in claim 1, wherein a second tolerance range for a grid frequency of the AC electricity grid, for a grid voltage of the DC electricity grid and/or for a line capacity utilization in the electricity grid is read in, and in that the process for robust optimization is performed with the second tolerance range as a constraint.

### Claim 3 (depends on 1)

The method as claimed in claim 1, wherein the active power flow is controlled in dependence on a grid frequency of the AC electricity grid, wherein this dependence is adjustable in the control characteristic of the converter by a second coupling parameter,
in that the grid frequency and also the second coupling parameter are included in the process for robust optimization by the first and second load flow models,
in that the second coupling parameter is determined in such a way that the cost function is optimized, and
in that the control characteristic of the converter is set by the second coupling parameter determined in this way.

### Claim 4 (depends on 1)

The method as claimed in claim 1, wherein an infeed active power of a generator in the AC electricity grid is controlled in dependence on a grid frequency of the AC electricity grid, wherein this dependence is adjustable in a control characteristic of the generator by a third coupling parameter,
in that the infeed active power of the generator and also the third coupling parameter are included in the process for robust optimization by the first load flow model,
in that the third coupling parameter is determined in such a way that the cost function is optimized, and
in that the control characteristic of the generator is set by the third coupling parameter determined in this way.

### Claim 5 (depends on 1)

The method as claimed in claim 1, wherein an infeed active power of a generator in the DC electricity grid is controlled in dependence on a grid voltage of the DC electricity grid, wherein this dependence is adjustable in a control characteristic of the generator by a fourth coupling parameter,
in that the infeed active power of the generator and also the fourth coupling parameter are included in the process for robust optimization by the second load flow model,
in that the fourth coupling parameter is determined in such a way that the cost function is optimized, and
in that the control characteristic of the generator is set by the fourth coupling parameter determined in this way.

### Claim 6 (depends on 1)

The method as claimed in claim 1, wherein the control of the active power flow and/or of an infeed active power is carried out by a proportional controller.

### Claim 7 (depends on 1)

The method as claimed in claim 1, wherein a present infeed active power of the generator and/or a present active load of the consumer are/is included as physical operating variable in the process for robust optimization.

### Claim 8 (depends on 1)

The method as claimed in claim 1, wherein an indication about a reference active power flow of the converter, about a reference grid DC voltage of the converter and/or about a reference active power of the generator as the result of the process for robust optimization is communicated to the converter and/or to the generator as setpoint value.

### Claim 9 (depends on 1)

The method as claimed in claim 1, wherein the first load flow model and/or the second load flow model comprise(s) a system of load flow equations.

### Claim 10 (depends on 9)

The method as claimed in claim 9, wherein the system of load flow equations comprises a system of linearized load flow equations.

### Claim 11 (depends on 1)

The method as claimed in claim 1, wherein power losses in the electricity grid, dispatch losses, primary control power losses and/or deviations between present operating variables and reference operating variables are weighted in the cost function.

### Claim 12 (depends on 1)

A control device for controlling an electricity grid, configured for performing a method as claimed in claim 1.

### Claim 13 (depends on 1)

A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said program code executable by a processor of a computer system to implement a method configured for performing a method as claimed in claim 1.

### Claim 14 (depends on 13)

A computer-readable storage medium comprising a computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said program code executable by a processor of a computer system to implement a method as claimed in claim 13.