EP4533622A1 - Verfahren zum betreiben eines leistungsbereitstellungsnetzwerks, steuervorrichtung zur durchführung eines solchen verfahrens und leistungsbereitstellungsnetzwerk mit einer solchen steuervorrichtung - Google Patents
Verfahren zum betreiben eines leistungsbereitstellungsnetzwerks, steuervorrichtung zur durchführung eines solchen verfahrens und leistungsbereitstellungsnetzwerk mit einer solchen steuervorrichtungInfo
- Publication number
- EP4533622A1 EP4533622A1 EP23728069.8A EP23728069A EP4533622A1 EP 4533622 A1 EP4533622 A1 EP 4533622A1 EP 23728069 A EP23728069 A EP 23728069A EP 4533622 A1 EP4533622 A1 EP 4533622A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- power
- devices
- provision
- power provision
- power supply
- 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- Withdrawn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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0806—Configuration setting for initial configuration or provisioning, e.g. plug-and-play
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—ELECTRIC POWER NETWORKS; 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
- H02J3/17—Demand-responsive operation of AC power transmission or distribution networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0895—Configuration of virtualised networks or elements, e.g. virtualised network function or OpenFlow elements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/12—Avoiding congestion; Recovering from congestion
- H04L47/125—Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2103/00—Details of circuit arrangements for mains or AC distribution networks
- H02J2103/30—Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks
- H02J2103/35—Grid-level management of power transmission or distribution systems, e.g. load flow analysis or active network management
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2105/00—Networks for supplying or distributing electric power characterised by their spatial reach or by the load
- H02J2105/50—Networks for supplying or distributing electric power characterised by their spatial reach or by the load for selectively controlling the operation of the loads
- H02J2105/52—Networks for supplying or distributing electric power characterised by their spatial reach or by the load for selectively controlling the operation of the loads for limitation of the power consumption in the networks or in one section of the networks, e.g. load shedding or peak shaving
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2105/00—Networks for supplying or distributing electric power characterised by their spatial reach or by the load
- H02J2105/50—Networks for supplying or distributing electric power characterised by their spatial reach or by the load for selectively controlling the operation of the loads
- H02J2105/54—Networks for supplying or distributing electric power characterised by their spatial reach or by the load for selectively controlling the operation of the loads according to a non-electrical condition, e.g. temperature
- H02J2105/55—Networks for supplying or distributing electric power characterised by their spatial reach or by the load for selectively controlling the operation of the loads according to a non-electrical condition, e.g. temperature according to an economic condition, e.g. tariff-based load management
Definitions
- control device for carrying out such a method and power provision network with such a control device
- the invention relates to a method for operating a power provision network, a control device for carrying out such a method and a power provision network with such a control device.
- Power provision devices typically physically track the load requirements placed on them.
- an optimization problem resulting from the cost function is only mathematically permissible if a sum of the available powers of the at least two power provision devices is at least as large as the load requirement.
- the sum of the available powers of the at least two power supply devices is smaller than the load requirement. For example, such a situation arises when the load requirement increases by a certain amount, for example 500 kW, within a few seconds and the output of the at least two power supply devices, however, only at a lower rate for physical or technical reasons, for example 200 kW per minute each. can be increased.
- the invention is therefore based on the object of creating a method for operating a power provision network, a control device for carrying out such a method and a power provision network with such a control device, the disadvantages mentioned being at least partially remedied, preferably avoided.
- the object is achieved in particular by creating a method for operating a power provision network which has at least two - in particular physical - power provision devices.
- a load request to the power provision network is distributed between the at least two power provision devices and a virtual power provision device by optimizing a cost function, thereby obtaining a load distribution.
- the at least two power supply devices are then operated in accordance with the load distribution obtained.
- the load distribution obtained assigns a power to each power-providing device and a virtual power to the virtual power-providing devices.
- a sum of the powers assigned to the at least two power provision devices and the virtual power of the virtual power provision device can always be exactly as large as the load requirement. This means that the cost function can be optimized at any time.
- the method thus advantageously allows, in particular, computer-aided and therefore simple, exact, computerized and, in particular, automatic load distribution.
- the virtual performance is not a real or physically performed performance, but rather a pure calculation variable for solving the optimization problem.
- the virtual power assumes a positive value if, at a point in time, the sum of the powers assigned to the at least two power provision devices is smaller than that Load requirement.
- the virtual power takes on a negative value if at a time the sum of the powers assigned to the at least two power provision devices is greater than the load requirement.
- the power provision network reacts to a fall below the load requirement by the at least two power provision devices in that an electrical frequency of an alternating voltage in the power provision network first drops, increases again with an increase in the power assigned to the at least two power provision devices and then reaches a target frequency again when the The sum of the services assigned to the at least two power provision devices is as large as the load requirement.
- the power provision network reacts to the load requirement being exceeded by the at least two power provision devices - in particular in the event of a sudden drop in load, whereby the at least two power provision devices cannot be regulated down quickly enough due to their inertia - by initially increasing an electrical frequency of an alternating voltage in the power provision network, with a decrease in the power assigned to the at least two power supply devices and then reaches the target frequency again when the sum of the services assigned to the at least two power supply devices has fallen to the reduced load requirement.
- a particularly physical power provision device is a real existing device that can provide physically usable power.
- a virtual power delivery device is a computational concept that cannot provide physical usable power.
- the assigned powers Pi and P2 of the two power provision devices, the virtual power P v of the virtual power provision device and the predetermined costs or energy prices k of the load requirement PL ast-P l,max and P2 assigned to the individual power provision devices, max are the power upper limits assigned to the power provision devices or - in other words - currently maximum available services.
- at least one of these upper power limits is time-dependent, in particular dependent on at least one current physical quantity of the associated power provision device, for example a current boost pressure.
- the at least one time-dependent performance upper limit Pi,max(t) has a limited rate of change Pi imax .
- Pi.min and P2,mm are lower power limits assigned to the power provision devices. These can be time-dependent, but also time-constant. In particular, it is possible that at least one of the performance lower limits Pi, m in, P2, mm is equal to zero. In particular, it is possible that both power lower limits Pi, m in, P2, mm are equal to zero.
- the process is carried out in particular iteratively.
- the at least one time-dependent power upper limit changes over time, so that the load distribution also changes accordingly, in particular until the assigned powers y, P2 in total equal the load requirement PLast.
- the power provision network iteratively assumes a state in which the assigned services Pi, P2 are equal in total to the load requirement Plast. It is possible that the procedure will only be carried out again when either the load requirement PLast or the energy costs fa change. However, it is also possible for the process to be carried out continuously iteratively.
- the cost function is optimized taking into account at least one additional secondary condition.
- a maximum possible power change in the current power per unit of time of at least one power provision device of the at least two power provision devices is taken into account by means of the at least one additional secondary condition.
- the at least one assigned service a limited rate of change Pt.
- the above-mentioned power upper limits Pi, ma x and P2,max can also be static limits, which correspond in particular to the respective nominal power of the power supply device.
- the cost function is predetermined based on the energy prices of the at least two power provision devices Costs of the virtual service provision device are calculated.
- the predetermined costs of the virtual power provision device are selected to be greater than each of the energy prices of the at least two power provision devices.
- the predetermined costs of the virtual power provision device are chosen to be at least 1 cent per kWh more expensive than the energy prices of the at least two, in particular physical, power provision devices.
- the cost function K is preferably additionally calculated based on the maintenance costs for the at least two service provision devices and virtual maintenance costs of the virtual service provision device.
- the virtual maintenance costs of the virtual power provision device are chosen to be more expensive than the maintenance costs of the at least two power provision devices. This can advantageously be used to control that at least two power supply devices are operated in a low-wear operating mode.
- the predetermined costs for the virtual service are increased by at least 10%, in particular at least 20%, in particular at least 30%, in particular at least 40%, in particular at least 50%, in particular at least 75%, in particular at least 100%, in particular 150%, in particular at least 200%, larger than the energy prices of the at least two physical power supply devices in particular, are chosen to ensure a stable and rapid optimization of the cost function K.
- the virtual maintenance costs are increased by at least 10%, in particular at least 20%, in particular at least 30%, in particular at least 40%, in particular at least 50%, in particular at least 75%, in particular at least 100%, in particular 150%, in particular at least 200% , chosen to be greater than the maintenance costs for the at least two power provision devices.
- the load distribution is determined by minimizing the cost function.
- an electrical machine that is operatively connected to an internal combustion engine drive is used as at least one power supply device of the at least two power supply devices.
- an energy storage device is used as at least one power supply device of the at least two, in particular physical, power supply devices.
- a heat storage device is used as the energy storage device.
- a mechanical device is used as the energy storage device, selected from a group consisting of a flywheel storage, a spring, a pump storage, a compressed air storage, and a lifting storage.
- an electrical device selected from a group consisting of a battery, an accumulator, and a capacitor is used as the energy storage device.
- the electrical machine that is operationally connected to the internal combustion engine is used as at least one power provision device of the at least two power provision devices, wherein in particular the electrical machine that is operationally connected to an internal combustion engine is referred to as a genset.
- the energy storage device is used as at least one of the at least two power supply devices.
- the service provision network has at least one additional service provision device.
- a photovoltaic system is used as the at least one additional power provision device.
- a wind turbine is used as the at least one additional power provision device.
- a hydroelectric power plant is used as the at least one additional power provision device.
- a load prediction is specified for a predetermined prediction horizon.
- the load distribution is then determined for a plurality of times within the predetermined prediction horizon.
- the object is also achieved by creating a control device, the control device being set up to carry out a method according to the invention or a method according to one or more of the previously described embodiments.
- the control device is preferably designed as a computing device, particularly preferably as a computer, or as a control device, in particular as a control device of a power supply network. In connection with the control device, there are in particular the advantages that have already been explained in connection with the method.
- the control device is preferably set up to be operatively connected to the at least two power supply devices and set up to control each of them.
- the virtual power provision device is a computing concept stored or implemented in the control device.
- the object is ultimately also achieved by creating a power provision network with at least two power provision devices and a control device according to the invention or a control device according to one or more of the previously described embodiments.
- a power provision network with at least two power provision devices and a control device according to the invention or a control device according to one or more of the previously described embodiments.
- the control device is operatively connected to the at least two power supply devices and is set up to control each of them.
- At least one power supply device of the at least two power supply devices is designed as an electrical machine which is drive-actively connected to an internal combustion engine.
- at least one power provision device of the at least two power provision devices is designed as an energy storage device.
- Figure 1 is a schematic representation of an exemplary embodiment of a service provision network
- Figure 2 shows a flowchart of an exemplary embodiment of a method for operating the service provision network.
- the power provision network 1 shows a schematic representation of an exemplary embodiment of a service provision network 1.
- the power provision network 1 has at least two, in particular physical, power provision devices 3, in particular a first power provision device 3.1 and a second power provision device 3.2, a control device 7 and a schematically illustrated virtual power provision device 5 implemented as a mathematical calculation concept in the control device 7.
- At least one power supply device 3 of the at least two power supply devices 3 is an energy storage device 9.
- at least one power supply device 3 of the at least two power supply devices 3 is an electrical machine 13 which is drive-actively connected to an internal combustion engine 11.
- the power provision network 1 has at least one additional power provision device 3.
- the at least one additional power supply device 3 is a photovoltaic system.
- the at least one additional power provision device 3 is a wind turbine.
- the at least one additional power supply device 3 is a hydroelectric power plant.
- the control device 7 is operatively connected to the at least two power supply devices 3 and is set up to control them. Furthermore, the control device 7 is set up to carry out a method for operating the power provision network 1 and thereby determine a load distribution for the at least two, in particular physical, power provision devices 3. The method is explained in more detail below with reference to Figure 2.
- FIG. 2 shows a flowchart of an exemplary embodiment of a method for operating the service provision network 1.
- a load request is specified for the power provision network 1.
- the predetermined load requirement is divided between the at least two power provision devices 3 and a virtual power provision device 5 while optimizing a cost function.
- the cost function is calculated based on the energy prices of the at least two power provision devices 3 and an energy price of the virtual power provision device 5.
- the energy price of the virtual power provision device 5 is preferably assumed to be greater than the energy price of the at least two power provision devices 3.
- the cost function is preferably minimized.
- a load distribution is obtained.
- a fourth step S4 the at least two power supply devices 3 are operated in accordance with the load distribution obtained.
- step S5 at least one additional additional condition is established, with the cost function being optimized in the second step S2 taking into account the at least one additional additional condition.
- a load prediction is specified for a predetermined prediction horizon, in particular based on the load requirement. Subsequently, in the second step S2 and the third step S3, the load distribution is determined for each point in time within the predetermined prediction horizon.
- steps S1 to S4 are carried out iteratively or cyclically, in particular with a predetermined time interval, in order to determine a load distribution and to operate the power provision network in accordance with the load distribution.
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- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
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- Signal Processing (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Power Engineering (AREA)
- Development Economics (AREA)
- Public Health (AREA)
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- General Health & Medical Sciences (AREA)
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Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102022113617.5A DE102022113617A1 (de) | 2022-05-30 | 2022-05-30 | Verfahren zum Betreiben eines Leistungsbereitstellungsnetzwerks, Steuervorrichtung zur Durchführung eines solchen Verfahrens und Leistungsbereitstellungsnetzwerk mit einer solchen Steuervorrichtung |
| PCT/EP2023/064042 WO2023232630A1 (de) | 2022-05-30 | 2023-05-25 | Verfahren zum betreiben eines leistungsbereitstellungsnetzwerks, steuervorrichtung zur durchführung eines solchen verfahrens und leistungsbereitstellungsnetzwerk mit einer solchen steuervorrichtung |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP4533622A1 true EP4533622A1 (de) | 2025-04-09 |
Family
ID=86657571
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP23728069.8A Withdrawn EP4533622A1 (de) | 2022-05-30 | 2023-05-25 | Verfahren zum betreiben eines leistungsbereitstellungsnetzwerks, steuervorrichtung zur durchführung eines solchen verfahrens und leistungsbereitstellungsnetzwerk mit einer solchen steuervorrichtung |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20250088414A1 (de) |
| EP (1) | EP4533622A1 (de) |
| CN (1) | CN119278555A (de) |
| DE (1) | DE102022113617A1 (de) |
| WO (1) | WO2023232630A1 (de) |
Family Cites Families (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3617406B2 (ja) * | 2000-03-30 | 2005-02-02 | 日本電気株式会社 | マルチドメインに対応した品質保証型通信サービス提供方式およびサービス提供方法並びにサービス仲介装置 |
| CN1685742A (zh) * | 2002-07-26 | 2005-10-19 | 西门子公司 | 在通信系统中提供网络单元 |
| US7274975B2 (en) * | 2005-06-06 | 2007-09-25 | Gridpoint, Inc. | Optimized energy management system |
| US8626949B2 (en) * | 2007-09-27 | 2014-01-07 | Microsoft Corporation | Intelligent network address lookup service |
| TWI346056B (en) * | 2007-12-07 | 2011-08-01 | Ind Tech Res Inst | Mixed type vehicle power system and method of forming multidimentional data of fuel consumption |
| US8600571B2 (en) * | 2008-06-19 | 2013-12-03 | Honeywell International Inc. | Energy optimization system |
| WO2010083334A1 (en) * | 2009-01-14 | 2010-07-22 | Integral Analytics, Inc. | Optimization of microgrid energy use and distribution |
| US9385970B2 (en) * | 2009-10-07 | 2016-07-05 | Wichorus, Inc. | Method and apparatus for assigning resources in a network node |
| US8892264B2 (en) * | 2009-10-23 | 2014-11-18 | Viridity Energy, Inc. | Methods, apparatus and systems for managing energy assets |
| US8310950B2 (en) * | 2009-12-28 | 2012-11-13 | Oracle America, Inc. | Self-configuring networking devices for providing services in a nework |
| US9372979B2 (en) * | 2011-01-07 | 2016-06-21 | Geoff Klein | Methods, devices, and systems for unobtrusive mobile device user recognition |
| US8626353B2 (en) * | 2011-01-14 | 2014-01-07 | International Business Machines Corporation | Integration of demand response and renewable resources for power generation management |
| US9749382B2 (en) * | 2011-09-29 | 2017-08-29 | Netscout Systems Texas, Llc | Systems for media policy decision and control and methods for use therewith |
| US9621607B2 (en) * | 2011-09-29 | 2017-04-11 | Netscout Systems Texas, Llc | Systems and languages for media policy decision and control and methods for use therewith |
| US10938207B2 (en) | 2012-04-13 | 2021-03-02 | Virtual Electric Inc. | Method and apparatus to form a virtual power generation collective from a distributed network of local generation facilities |
| US9397946B1 (en) * | 2013-11-05 | 2016-07-19 | Cisco Technology, Inc. | Forwarding to clusters of service nodes |
| US9590855B2 (en) * | 2013-11-18 | 2017-03-07 | Lenovo Enterprise Solutions (Singapore) Pte. Ltd. | Configuration of transparent interconnection of lots of links (TRILL) protocol enabled device ports in edge virtual bridging (EVB) networks |
| US9231871B2 (en) * | 2013-11-25 | 2016-01-05 | Versa Networks, Inc. | Flow distribution table for packet flow load balancing |
| US9705815B2 (en) * | 2014-06-27 | 2017-07-11 | Juniper Networks, Inc. | Graph database for services planning and configuration in network services domain |
| GB2535743B (en) * | 2015-02-25 | 2021-04-07 | Metaswitch Networks Ltd | Configuration services |
| DE102016221329A1 (de) * | 2016-10-28 | 2018-05-03 | Deere & Company | Stromversorgungsanordnung mit einer Schnittstelle zum Betreiben eines Mehrspannungssystems |
| US10530752B2 (en) * | 2017-03-28 | 2020-01-07 | Amazon Technologies, Inc. | Efficient device provision |
| US11050626B2 (en) * | 2017-04-28 | 2021-06-29 | Huawei Technologies Co., Ltd. | Service provision for offering network slices to a customer |
| US20190044799A1 (en) * | 2018-06-29 | 2019-02-07 | Intel Corporation | Technologies for hot-swapping a legacy appliance with a network functions virtualization appliance |
| US10998732B2 (en) | 2019-03-20 | 2021-05-04 | Caterpillar Inc. | System and method for diverse multi-source energy management |
| US11070476B2 (en) * | 2019-04-26 | 2021-07-20 | Intel Corporation | Migration from a legacy network appliance to a network function virtualization (NFV) appliance |
| AU2020397963B2 (en) | 2019-12-06 | 2025-12-18 | Enel X S.R.L. | Systems and apparatuses to aggregate distributed energy resources |
-
2022
- 2022-05-30 DE DE102022113617.5A patent/DE102022113617A1/de not_active Ceased
-
2023
- 2023-05-25 EP EP23728069.8A patent/EP4533622A1/de not_active Withdrawn
- 2023-05-25 WO PCT/EP2023/064042 patent/WO2023232630A1/de not_active Ceased
- 2023-05-25 CN CN202380043031.2A patent/CN119278555A/zh active Pending
-
2024
- 2024-11-26 US US18/960,875 patent/US20250088414A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023232630A1 (de) | 2023-12-07 |
| DE102022113617A1 (de) | 2023-11-30 |
| US20250088414A1 (en) | 2025-03-13 |
| CN119278555A (zh) | 2025-01-07 |
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