EP3788691A1 - Verfahren zur auslegung eines energieversorgungs- und verteilersystems - Google Patents
Verfahren zur auslegung eines energieversorgungs- und verteilersystemsInfo
- Publication number
- EP3788691A1 EP3788691A1 EP19720534.7A EP19720534A EP3788691A1 EP 3788691 A1 EP3788691 A1 EP 3788691A1 EP 19720534 A EP19720534 A EP 19720534A EP 3788691 A1 EP3788691 A1 EP 3788691A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- energy
- sysi
- system components
- variables
- eff
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
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- 238000011156 evaluation Methods 0.000 claims description 17
- 238000005457 optimization Methods 0.000 claims description 13
- 230000015654 memory Effects 0.000 claims description 11
- 230000005611 electricity Effects 0.000 claims description 9
- 238000003860 storage Methods 0.000 claims description 9
- 230000036314 physical performance Effects 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 5
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 230000009885 systemic effect Effects 0.000 claims description 3
- 241000269627 Amphiuma means Species 0.000 claims description 2
- 238000004513 sizing Methods 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 claims 1
- 230000008901 benefit Effects 0.000 description 3
- 230000002349 favourable effect Effects 0.000 description 3
- 239000000446 fuel Substances 0.000 description 3
- 238000012913 prioritisation Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
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- 238000013500 data storage Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000012432 intermediate storage Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
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- 230000036962 time dependent Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security
Definitions
- the invention relates to a method for the optimized design of an energy supply and distribution system.
- a 1000 kW power supply and distribution system consisting of z. B. a PV system, a buffer memory, two charging stations for charging and recovery of energy from an energy storage of a vehicle, a network connection for feeding and extracting energy from the public network and a central control considered.
- a plant planner it remains completely indefinable how he should design the individual components and a corresponding system with regard to system configuration, capacities and dimensioning.
- unknown factors are added, such as
- the Aniagenplaner must have a Contemplation with many unknowns, which are estimated in practice more or less accurately, taking into account certain assumptions.
- the PV system is planned oversized and, regardless of the configuration of the charging stations, the familiar parameters such as the roof pitch, the location, the orientation and, in particular, the desired output are included in the planning and design of the PV system. Since additional reserves are also calculated, the system is typically not dimensioned optimally. Optimum in the sense of the present invention is understood to be a state in which, in particular, the cost / benefit ratio is as low as possible, which means that the required services can be taken from the system with minimal investment and expense.
- the PV system typically includes a safety at the grid connection.
- the grid connection would also be dimensioned completely incorrectly taking into account the further system components and the possible intermediate storage. The same applies to the discharge behavior via the charging columns. If it is assumed that theoretical values, one would interpret the grid connection or the buffer memory, if necessary, on the expected removal values when loading two vehicles, so that this supply of z. B. 2 x 350 kW would make sure. If a fuel cell is additionally operated, it would also have to be suitably designed. The more such components are integrated in an energy supply and distribution system, the more difficult it is to make the system design within an optimal range. Even if a planner would design all components from a single source and thus the entire system in a planning manner, there is currently a lack of suitable systems, methods and methods in order to optimally carry out such a technical design.
- the invention is therefore based on the object to provide an apparatus and a method to be able to configure a power supply and Verteilersys- systems (10) in particular with the use of a connection to a public power grid or to determine a system optimum.
- a simulation system is proposed with means for generating and / or processing simulation data of a simulation target space in which there are a number of energy-producing, energy-storing and energy-consuming system components, as a plurality of elements, wherein between at least two elements an energy flow takes place in order to represent a simulation target space; Evaluation and / or calculating means for calculating a power factor relating to every two or more elements of the plurality of elements, taking into account their prioritization on the basis of the simulation data; Evaluation means for evaluating the performance data that will be provided or consumed by each element, using the factors determined to determine therefrom the system components for which there is an optimum in terms of a variable efficiency value.
- this information and / or information on the system components as such as prioritization data (such as the price of energy at a given time, priority of a system component before another, the energy price at a decrease determined amount of energy, extraction of energy only at a value lower than a predetermined value, etc.) in the simulation of the overall system on a simulation model. can.
- prioritization data such as the price of energy at a given time, priority of a system component before another, the energy price at a decrease determined amount of energy, extraction of energy only at a value lower than a predetermined value, etc.
- a simulation system for the optimized design of a power supply and distribution system consisting of a plurality of energy-generating, energy-storing and energy-consuming system components (SYSi) in at least one efficiency value of a physical or economic size, comprising a central controller, comprising: a. Means for selecting at least the power consuming system components (SYSi); b. Means for determining the dimensional sizes and / or the physical performance quantities of the required system components for the power distribution and supply system depending on the affected selection of individual, multiple or all system components in step a) and / or (systemically relevant) variables corresponding to their physical ones Sizes, c.
- a control device and / or an evaluation unit which is designed according to a systemic, preferably iterative comparison of an evaluated efficiency value stored in a data storage characteristic, representing an efficiency value of an energy generated by these system components gergie divider and supply system determination
- the dimensions and / or the physical performance variables can be adapted so that the respective efficiency value based thereon is in the range of a local or absolute maximum or minimum.
- the central controller should have a processor adapted to the computing power. In the case of feature c), this can be done in particular on the basis of a simulation model.
- a special feature is that you Without knowledge of all system sizes and consumption values, so to speak, with a few data can perform a first simulation and then increasingly approaching the system optimum in the degree of optimization.
- the number of optimization steps in the simulation can be adapted to the desired degree of optimization and terminated when a certain degree of optimization is reached.
- the characteristic value taken for the optimization is a value from a characteristic diagram which comprises those characteristic curves which in each case represent a different combination of respective system components of very different dimension sizes and / or physical performance variables. With a different number of system components, therefore, different optimizations result.
- the efficiency value may be a value that takes into account the cost of the overall system.
- the network connection performance can be increased, but this increase be associated with higher costs than a comparable adjustment of a Bufferspei chers
- the evaluation would from the function of the efficiency value, which is a function of various variables, eg. B. by means of a partial derivative of the local proximate maxima can determine. It would be conceivable that two or more maxima result. So z. B. conceivable that, taking into account a safety margin for other consumers, both the grid connection capacity and the buffer storage capacity would increase, but the system evaluates that a system optimum would be achieved by the fact that in addition the provision of a PV system is more targeted.
- the means for selecting at least the energy consuming system components comprises a display and input device, wherein the input device further comprises an input facility for inputting variables for at least the consumption values of the energy consuming system components and of operating parameters of system components provided for the power distribution and supply system.
- the means further comprises a data storage with a plurality of stored functions and / or characteristic fields representing the functional dependence of the efficiency of the power distribution and supply system of the change ei ner system component with respect to the dimensioning of having other system components.
- the efficiency value is provided as a function of n variables, an optimum of the efficiency value representing a local extreme position of this function, preferably determined by the partial derivatives of the function and the resulting maximum value conditions or minimum value conditions, ie , H. grad (f) with a corresponding zero-point evaluation and the evaluation whether the course of the function depends on the corresponding variable around the local
- the extremum is concave (minimum) or convex (maximum).
- the evaluation unit for the system components each use simulation modules, which at least in their performance data
- the simulation modules are designed so that they simulate the system component in the overall system according to a simulation model.
- a specific configuration of system components and their electrical performance data and / or electrical storage capacity is determined from stored data of a data memory and received or read variables. It is likewise advantageous if the evaluation unit uses an algorithm for the evaluation which, in addition to the data stored in a data memory, takes into account those data which have been communicated to the system by input. In this case, it is favorable if, in the configuration of the performance variables of the system components, at least the performance variables of the energy-generating and energy-storing system components are determined.
- the efficiency value represents a value which represents the ratio of total costs for creating and / or operating the power distribution and supply system to an economic value corresponding to the power taken out of the system by calculation.
- an optimized efficiency value z. B. 2 which would mean in the aforementioned case of game that it would be possible with optimal system design with respect to the planned removal double costs expected. With another less favorable system design this value would be higher.
- An embodiment in which at least one of the energy-generating system components is also advantageous is a network connection to a public network.
- this system size it plays a role, in particular, which costs are to be considered for a specific network connection performance. Since, in general, the fee for grid feed-in is lower than, conversely, the cost of energy removal from the grid, a low grid connection power tends to be more desirable.
- a simulation finds an optimum where a grid connection can be completely eliminated, since a completely autonomous power supply is possible due to a different system configuration.
- VAR variable
- a respectively defined (but flexible) number n of energy generating devices for generating electrical energy of a certain amount of energy a number k of Ladeklan for feeding and for the removal of energy to or from a Elekt rolanguage, a number i on electrical loads with a rated output as part of the energy distribution and supply system to be designed are to be taken into account.
- one, several or all of the following fixed or time-varying parameters are taken into account in the design of the power distribution and supply system: the cost of the system components, a predetermined number of energy consuming system components, statistical weather data, geodesics , Electricity costs related to the purchase of electrical energy from a connected public grid, feed-in tariff, storage capacity of the energy-storing system components and a time course of an assumed removal of electrical energy by each of the energy-consuming system components.
- FIG. 1 shows an exemplary representation of a power distribution and supply system
- Fig. 2 is a simplified schematic representation for explaining the
- FIG. 3 shows a simulation system according to the present invention.
- FIG. 1 shows an exemplary illustration of a power distribution and supply system 10.
- the power distribution and supply system 10 consisting of a large number of energy-generating, energy-saving chilling and energy-consuming system components SYSi.
- the arrows on the connecting lines show the possible energy flow.
- So z. B. from the energy-generating system components EN (eg, a PV system or a fuel cell) electrical energy via the central controller 20 to the different consumers Vi reach.
- the controller can thereby implement the energy flow according to a system-specific prioritization.
- the battery B1 as exclusively energy-storing system components SYSi allows z. B. a bi-directional energy flow when charging in the direction of the battery and when unloading from the battery out to a consumer or in the network to generate a feed rate at z. B.
- variable electricity tariff as a variable VAR the public network.
- two charging stations LK with a charging capacity of 350 kW each with coupled electric vehicles F are shown, in each of which a battery B2 or B3 is installed.
- the battery can be stored B1 or electricity in the public network via the grid connection N are fed, if it makes sense in the macroeconomic perspective.
- z. B. also electrical energy from the battery B2 of a vehicle F in the battery B3 of the other vehicle F are transmitted directly via a charging station management.
- the simulation system 1 means MA for selecting at least the energy consuming system components SYSi (shown with the arrows leading away).
- SYSi energy consuming system components
- two charging stations, consumers Vi with a withdrawal capacity of 250 kW, a buffer storage P, a PV system and a grid connection N were provided, leaving open at first how the system as a whole relates to the services in kW and other sizes.
- the evaluation unit A is designed to optimize the system configuration on the basis of a selected efficiency value Eff according to a systemic, preferably, iterative comparison (more preferably with the aid of a multi-stage algorithm).
- corresponding system points in the more dimensional space are determined for the efficiency value "minimum total costs", such as the formation of a gradient with consideration of the surrounding space or with the solution via a Hessematrix or alternative extreme value determination methods, such as for example the gradient descent process or similar procedures based in principle on the following:
- the efficiency value Eff has then an extremum or maximum where f 0 is a point from the set D and
- Eff Eff (Var 1, Var 2) is there at a maximum for the two variables Varl, Var 2, where all neighbors from the set of neighborhood function with the o.g. Condition. According to the invention, it may be provided that not the absolute optimum or maximum is determined, but rather an ambient space around this point in order to define a permissible optimization range (desired optimization range).
- the data space is a discrete or continuous spectrum of variable characteristic curves (also referred to as a characteristic map), the characteristics changing as a function of the variables. So z.
- the energy yield of the PV plant is a function of several factors such as location, weather data, orientation of the PV modules, shading factor, etc.
- the central controller 20 is simulated in the simulation system 1, so that a total system simulation with the energy-generating, energy-storing and energy-consuming system components (SYSi) takes place.
- the simulation model the multi-dimensional data model for the sizing of the system components SYSi corresponding to the individual variables is determined such that the system variables for the system components are successively simulated in the iterative optimization process by changing the respective variables in the neighborhood function space to the respective local extrema can determine individual system components SYSi for which the efficiency value Eff has a maximum.
- this is illustrated in FIG. 3 by the lower part, which represents the exemplary exemplary energy distribution and supply system 10 optimized in this way.
- the system data and performance data of the determined individual system components SYSi can then be output and preferably visualized by means of a system simulation.
- So z For example, it can be determined that the PV system with a capacity of 1500 KW, together with a grid connection of 500 KW and a buffer storage of 600 KW together with the performance data of the other system components SYSi, an optimum for the geographical location, the consumers, the is to be found feed-in remuneration, etc.
- the invention is not limited in its execution to the above-mentioned preferred embodiments. Rather, a number of variants is conceivable, which makes use of the illustrated solution even with fundamentally different types of use.
- the control system can also be set so that when a certain condition occurs (for example: energy price below or above a certain value) in the system a charging process or a
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102018110630.0A DE102018110630A1 (de) | 2018-05-03 | 2018-05-03 | Verfahren zur Auslegung eines Energieversorgungs- und verteilersystems |
PCT/EP2019/060661 WO2019211174A1 (de) | 2018-05-03 | 2019-04-25 | Verfahren zur auslegung eines energieversorgungs- und verteilersystems |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3788691A1 true EP3788691A1 (de) | 2021-03-10 |
Family
ID=66334450
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP19720534.7A Withdrawn EP3788691A1 (de) | 2018-05-03 | 2019-04-25 | Verfahren zur auslegung eines energieversorgungs- und verteilersystems |
Country Status (3)
Country | Link |
---|---|
EP (1) | EP3788691A1 (de) |
DE (1) | DE102018110630A1 (de) |
WO (1) | WO2019211174A1 (de) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111488677B (zh) * | 2020-03-24 | 2021-12-14 | 广东电网有限责任公司电力调度控制中心 | 多馈入有效短路比分析方法、装置、终端设备及存储介质 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2858015A1 (de) * | 2013-10-04 | 2015-04-08 | Building Research Establishment Ltd | System und Verfahren zur Simulation, Steuerung und Leistungsüberwachung von Energiesysteme |
-
2018
- 2018-05-03 DE DE102018110630.0A patent/DE102018110630A1/de not_active Withdrawn
-
2019
- 2019-04-25 WO PCT/EP2019/060661 patent/WO2019211174A1/de active Application Filing
- 2019-04-25 EP EP19720534.7A patent/EP3788691A1/de not_active Withdrawn
Also Published As
Publication number | Publication date |
---|---|
WO2019211174A1 (de) | 2019-11-07 |
DE102018110630A1 (de) | 2019-11-07 |
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