DE102021121127A1 - Method for operating a network management system for a local energy network, computer program product and network management system - Google Patents

Abstract

The invention relates to a method for operating a network management system (2), in which at least one charging point (6) of a local energy network (1) for an electrically operated motor vehicle (5) for charging the at least one motor vehicle (5) using the network management system (2) is controlled, and in which at least one piece of charging information (9) of the at least one motor vehicle (5) is transmitted to an electronic computing device (3) of the network management system (2) and depending on the charging information (9) and depending on a the local energy network (1) characterizing parameters (10) by means of the electronic computing device (3) a charging plan (11) for electrically charging the at least one motor vehicle (5) is determined, depending on the charging information (9) a charging flexibility (12) of the at least one Motor vehicle (5) is determined by means of the electronic computing device (3) and the loading plan (11) also as a function is determined by the loading flexibility (12) of the at least one motor vehicle (5). The invention also relates to a computer program product and a network management system (2).

Description

The invention relates to a method for operating a network management system for a local energy network, in which at least one charging point of the local energy network for an at least partially electrically operated motor vehicle is controlled for charging the at least one motor vehicle by means of the network management system, and in which at least one piece of charging information for the at least one Motor vehicle is transmitted to an electronic computing device of the network management system and depending on the charging information and depending on a parameter characterizing the local energy network using the electronic computing device, a charging plan for electrically charging the at least one motor vehicle is determined. The invention also relates to a computer program product and a network management system. Furthermore, relates to a computer program product and a network management system.

Local energy networks are already known from the prior art, which supply electrical energy to households, industries and other electrical consumers, for example. In turn, these local energy networks can also have local energy producers, for example photovoltaic systems or wind turbines, which are designed to feed in electrical energy.

The US 2020/0139842 A1 discloses an apparatus and method for charging a variety of mobile energy storage and power consuming devices.

The WO 2020 044 051 A1 describes a power grid management system for a power grid to which multiple electric vehicles and multiple charging points are connected.

The object of the present invention is to create a method, a computer program product and a network management system, by means of which a charging plan for an at least partially electrically operated motor vehicle can be determined in an improved manner.

This object is achieved by a method, a computer program product and a network management system according to the independent patent claims. Advantageous embodiments are specified in the dependent claims.

One aspect of the invention relates to a method for operating a network management system for a local energy network, in which at least one charging point of the local energy network for an at least partially electrically operated motor vehicle is controlled for charging the at least one motor vehicle by means of the network management system, and in which at least one piece of charging information from the at least one motor vehicle is transmitted to an electronic computing device of the network management system, and depending on the charging information and depending on a parameter characterizing the local energy network, a charging plan for electrically charging the at least one motor vehicle is determined using the electronic computing device.

It is provided that charging flexibility of the at least one motor vehicle is determined using the electronic computing device as a function of the charging information and the charging plan is additionally determined as a function of the charging flexibility of the at least one motor vehicle.

A charging plan for the at least partially electrically operated motor vehicle can thus be determined in an improved manner. In particular, the motor vehicle can also be designed as a fully electrically operated motor vehicle.

In particular in the case of an at least partially electrically operated motor vehicle, as well as in the case of a fully electrically operated motor vehicle, it is necessary for electrical energy to be provided within this local energy network in order to charge the motor vehicle. This can lead to increased load peaks, which, for example, influence the local energy network too much or overload it, which can lead to network failures. For this purpose, systems are already known from the prior art, which can assume control of the charging of an electrical energy store of an at least partially electrically operated motor vehicle. These often take into account a current price structure on the energy market and can therefore offer cheaper charging for the motor vehicle. It is also known that, for example, an owner of the at least partially electrically operated motor vehicle is suggested to charge the motor vehicle at night, for example, since other energy consumers in the local network require less energy there, so that a failure of the energy network is reduced. It is also known that motor vehicles are generally charged at times when less energy is consumed within the local energy network.

In particular, the invention now uses the fact that when, for example, the motor vehicle is plugged in for charging, it does not yet have to be charged directly, in order then, for example, to have sufficient electrical energy at a time when it is unplugged to assign. If, for example, a user of the motor vehicle should connect the motor vehicle for charging in the evening and only want to use it again the next morning, then the whole night remains to charge the motor vehicle accordingly. This can be used as a flexibility, for example to also be able to charge other motor vehicles, which in turn have an early departure time and can therefore be charged with a higher priority. It is thus determined how flexible the charging of the motor vehicle is, and on the basis of this the charging plan can be determined accordingly. This also prevents the local energy grid from being subject to increased utilization and thus prevents load peaks within the local energy grid. As a result, a dip in the local energy network can be prevented and, at the same time, the at least one motor vehicle can be charged. Furthermore, the other motor vehicles can also be charged without losses occurring in the motor vehicle itself, since the flexibility is determined and used accordingly.

In particular, the method is advantageous if the local energy network has a large number of charging points and a large number of motor vehicles, which in particular are at least partially electrically operated, are also to be charged at the same time. In this case, the respective flexibility is then used by the large number of motor vehicles and a corresponding loading plan is generated. If, for example, a new vehicle connects to a charging point, this can be taken into account immediately and, for example, the charging plan can be adjusted accordingly. For example, a prioritization can be shifted because, for example, the newly connected vehicle requires direct electrical energy because it wants to start early again. The charging plan can thus be adapted depending on the situation and in real time, which means that the charging process can be carried out reliably for each motor vehicle at the same time, without overloading the electrical energy network.

The corresponding charging information can be transmitted directly from the motor vehicle to the electronic computing device, for example when a charging plug is plugged into the motor vehicle. Furthermore, the motor vehicle can also transmit the charging information to the electronic computing device via a mobile network, for example before the actual charging. Again alternatively or additionally, the user of the motor vehicle can also transmit to the electronic computing device via a corresponding application, for example on a mobile device, for example an intelligent telephone, which is also referred to as a smartphone, which in turn can reliably determine the charging plan.

The electronic computing device can also be designed to take into account charging processes that are already planned for other motor vehicles. In particular, if, for example, a large number of other motor vehicles are already connected to the other charging points and the motor vehicle is now also arriving at a charging point, the corresponding charging plan can again be generated in real time.

In the present exemplary embodiment, reference is made to the plug-in time and the plug-out time. This means that, for example, a charging process can be carried out in a cable-bound manner via a corresponding cable device. It goes without saying for a person skilled in the art that this also includes, for example, capacitive charging options or inductive charging options. Furthermore, other charging options are also to be regarded as disclosed here.

According to an advantageous embodiment, the charging flexibility is determined based on a point in time when the at least one motor vehicle is connected to the charging point and/or on a point in time when the at least one motor vehicle is disconnected from the charging point and/or on a residual capacity of an electrical energy store of the at least one motor vehicle and/or on a minimum capacity of the electrical energy store at the time of unplugging and/or determined by a potential charging speed of the electrical energy store. In particular, a large number of different parameters can thus be used in order to be able to design the loading plan in a correspondingly flexible manner. As a result, all parameters of the charging process are used to determine the charging plan in a highly flexible manner. This makes it possible for the local energy network to be prevented from being overloaded and for the electrical energy storage device of the motor vehicle nevertheless to have a corresponding minimum capacity, at least at the time of departure, in order to be able to reach a corresponding destination.

It is also advantageous if a charging capacity and/or a charging speed of the charging point are taken into account when determining the charging plan. In particular, the charging point itself also has corresponding parameters, which are now also taken into account here. For example, the charging point can be operated in one-phase or three-phase mode and thus provide different current levels for charging and different voltages for charging. Furthermore, the charging point can be designed for AC charging and/or for DC charging. Depends on in turn, the charging capacity and the charging speed can also be determined. Depending on these parameters, the charging plan can now also be reliably developed, which can prevent overloads in the local energy grid.

In a further advantageous embodiment, the charging plan is also adapted when there is a change in the characterizing parameter of the local energy network. If, for example, another energy consumer within the energy network consumes energy that was not previously taken into account, this can now also be recorded and the charging plan can be adjusted accordingly. If, for example, another motor vehicle is plugged in for charging, this can be taken into account. Furthermore, if, for example, a household needs more energy than actually planned, this can be taken into account so that an overloading of the local energy network can be prevented overall.

It is also advantageous if an energy supply from an energy generating device in the local energy network and/or an energy consumption by an electrical energy consumer in the local energy network is/are determined as the characterizing parameter. For example, a wind turbine can be provided as an energy generator or, for example, a photovoltaic system as an energy generator within the local energy network. It is now very advantageous if the corresponding energy supply is forecast and the charging plan can in turn be determined on the basis of this forecast/prediction. Furthermore, energy consumption can also be predicted, which takes into account different motor vehicles as well as households and other energy consumers. As a result, a reliable energy balance can be established, which in turn leads to improved generation of the charging plan and thus to prevention of overloading of the energy network.

It is also advantageous if the characterizing parameter is determined on the basis of a forecast for the provision of energy in the local energy network and/or on the basis of a forecast for the energy consumption in the local energy network. In particular, a prediction model can thus be used both for energy production and for energy consumption. This prediction model is based in particular on historical data and can be created as a function of time, day, or season. On the basis of these predictions, future energy consumption and future energy supply can be reliably predicted, which in turn leads to reliable generation of the charging plan, which can prevent overloading of the local energy network.

Furthermore, it has proven to be advantageous if a charging start time and/or a charging end time and/or a charging pause and/or a charging speed and/or a charging capacity and/or other motor vehicles which require electrical energy and for which additional charging flexibility is determined in the charging plan will be taken into account. In particular, the charging plan is also individually adjusted accordingly. For example, the charging start time and the charging end time can be selected accordingly in order to provide the energy in a highly flexible manner within the local energy network and at the same time to provide a minimum capacity for the electric motor vehicle. Furthermore, it can also be provided that, for example, a charging pause is used if peak utilization occurs at a certain point in time, which in turn then pauses the charging process of the motor vehicle so that the charging peak can be reliably prevented. Furthermore, other motor vehicles that have connected to the local energy network for charging can also be taken into account. Provision can also be made for the charging flexibility of these motor vehicles to be determined and for their flexibility to also be included in the charging plan. In particular, a large number of different charging plans can thus be provided, which in turn can be determined individually for the large number of motor vehicles using the electronic computing device, with the network management system then coordinating the large number of charging plans and taking over the control of the charging processes. The network management system can thus reliably prevent overloading of the electrical energy network.

According to a further advantageous embodiment, a further characterizing parameter of a higher-level distribution grid, which is energetically coupled to the local energy grid, is also taken into account when determining the charging plan. In particular, for example, the higher-level distribution network can be designed to provide energy for the local energy network. Here, too, it is important to prevent the higher-level distribution network from being overloaded. It is now advantageous to determine the corresponding characterizing parameter(s) of the distribution network, for example a current frequency within the distribution network, and to use this in turn to generate the charging plan. If, for example, the frequency within the higher-level distribution grid is very low, this indicates a very high utilization of the higher-level distribution grid, which means that the charging plan, for example can take this into account and a charging process of the motor vehicle is paused or not yet started. Provision can be made here, for example, for corresponding recording devices to be configured at the network points at which energy is fed from the higher-level distribution network into the local energy network, which in turn can record the characterizing parameters and thus actively and in real time in turn adapt the charging plan accordingly. A forecast for the energy supply within the higher-level distribution network can also be used here and also taken into account as a characterizing parameter when determining the charging plan. The characterizing parameter is recorded in particular in real time, which makes it possible to adapt a charging plan at any time.

The method presented is in particular a computer-implemented method. A further aspect of the invention therefore relates to a computer program product with program code means which cause an electronic computing device to carry out a method according to one of Claims 1 to 8 when the program code means are processed by the electronic computing device. Another aspect of the invention therefore also relates to a computer-readable storage medium with a computer program product.

Furthermore, the invention also relates to a network management system for a local energy network, with at least one electronic computing device, the network management system being designed to carry out a method according to the preceding aspect. In particular, the method is carried out using the network management system.

The invention also includes developments of the network management system according to the invention, which have features as have already been described in connection with the developments of the method according to the invention. For this reason, the corresponding developments of the network management system according to the invention are not described again here.

The invention also includes the combination of the features of the described embodiments.

• 1 eine schematische Seitenansicht einer Ausführungsform eines Netzmanagementsystems;
• 2 ein schematisches Blockschaltbild gemäß einer Ausführungsform eines Netzmanagementsystems; und
• 3 ein schematisches Ablaufdiagramm gemäß einer Ausführungsform eines erfindungsgemäßen Verfahrens.

Exemplary embodiments of the invention are described below. For this shows:

• 1 a schematic side view of an embodiment of a network management system;
• 2 a schematic block diagram according to an embodiment of a network management system; and
• 3 a schematic flowchart according to an embodiment of a method according to the invention.

The exemplary embodiments explained below are preferred exemplary embodiments of the invention. In the exemplary embodiments, the described components each represent individual features of the invention that are to be considered independently of one another, which also develop the invention independently of one another and are therefore also to be regarded as part of the invention individually or in a combination other than that shown. Furthermore, the exemplary embodiments described can also be supplemented by further features of the invention already described.

Elements with the same function are each provided with the same reference symbols in the figures.

1 shows a schematic side view of an embodiment of a local energy network 1 with a network management system 2. The network management system 2 has at least one electronic computing device 3 in the present case. The present example shows in particular that a large number of other local energy networks 4 can be provided in addition to the local energy network 1 . In particular, it can be provided that both the local energy network 1 and the plurality of other energy networks 4 can be controlled by means of the network management system 2 .

It is also shown here that an at least partially electrically operated motor vehicle 5 can be charged within a local energy network 1 . In particular, four motor vehicles 5, which are at least partially electrically operated, are shown for the local energy network 1. It can also be the case that a large number of motor vehicles 5 can also be charged in the other local energy networks 4 . The local energy network 1 also has at least one charging point 6, in this case four charging points 6, at which the at least partially electrically operated motor vehicles 5 can be charged. The number of motor vehicles 5 and charging points 6 that can be charged is purely exemplary in the present case and is by no means to be regarded as exhaustive. It should also be noted at this point that the other local energy networks 4 can also have charging points 6 . Within the local energy network 1 can also power generation facilities 7, such as wind turbines, solar panels and other Energiever need 8, such as households or industrial plants, be present.

According to one embodiment of the method according to the invention, at least the charging point 6 for the at least partially electrically operated motor vehicle 5 for charging the at least partially electrically operated motor vehicle 5 is controlled by the network management system 2 . Charging information 9, which is shown here only in one motor vehicle 5, of the at least one motor vehicle 5 is transmitted to the electronic computing device 3 and, depending on the charging information 9 and depending on a parameter 10 characterizing the local energy network, is calculated by means of the electronic Computing device 3 determines a charging plan 11 for electrically charging the at least one motor vehicle 5 .

Provision is made here for a charging flexibility 12 of the at least one motor vehicle 5 to be determined using the electronic computing device 3 as a function of the charging information 9 and for the charging plan 11 to be additionally determined as a function of the charging flexibility 12 of the at least one motor vehicle 5.

In particular, it can be provided that the charging flexibility 12 is based on a point in time when the at least one motor vehicle 5 is plugged into the charging point 6 and/or on the basis of a point in time when the at least one motor vehicle 5 is disconnected from the charging point 6 and/or on the basis of a residual capacity of an electrical energy store 13 of the at least a motor vehicle 5 and/or by a minimum capacity of the electrical energy store 13 at the time of unplugging and/or by a potential charging speed of the electrical energy store 13. Provision can furthermore be made for a charging capacity and/or a charging speed of the charging point 6 to be taken into account when determining the charging plan 11 . The charging plan 11 can also be adjusted when there is a change in the characterizing parameter 10 of the local energy grid 1 .

In particular, the provision of the energy generating device 7 in the local energy network 1 and/or an energy consumption by an electrical energy consumer 8 in the local energy network 1 can be determined as the characterizing parameter 10 . Furthermore, the characterizing parameter 10 can be determined on the basis of a forecast for the provision of energy in the local energy network 1 and/or on the basis of a forecast for the energy consumption in the local energy network 1 .

In particular, it can also be provided that the charging plan 11 determines a charging start time and/or a charging end time and/or a charging pause and/or a charging speed and/or a charging capacity and/or other motor vehicles 5 which require electrical energy and for which additional charging flexibility will be taken into account.

Furthermore, the 1 That another characterizing parameter 14 of a higher-level distribution network 15, which is energetically coupled to the local energy network 1, is taken into account when determining the charging plan 11.

2 shows a schematic block diagram according to an embodiment of the network management system 2. In particular, it can be provided, for example, that the charging information 9 is transmitted via an application 16 to the electronic computing device 3 of the network management system 2, with the charging flexibility 12 then being able to be determined on the basis of this. The charging flexibility 12 is particularly dependent on a disconnection time or a departure of the motor vehicle 5 and a connection time. Furthermore, the charging speed, the motor vehicle identification, settings of a user of the motor vehicle 5 and the charging point identification can also be transmitted via the application 16 . The electronic computing device 3 in turn determines the charging flexibility 12 and generates the charging plan 11. The charging plan 11 in turn can then be transmitted directly to the charging point 6, for example.

The network management system 2 can also include the information relating to the local energy network 1 and the higher-level distribution network 15 . In particular, load peaks can be smoothed out by including the local energy network 1, for example by including the provision of energy and the energy consumption. Furthermore, load peaks of the higher-level distribution network 15 can also be prevented by the charging plan 11 being generated accordingly in such a way that, for example, the motor vehicle 5 is not charged at consumption peaks or the charging is paused.

3 shows a schematic block diagram according to an embodiment of the method. In particular, the charging information 9 is transmitted to the network management system 2 in a first step S1. In a second step S2, the higher-level distribution network 15, in particular the further characterizing parameter 14 of the higher-level distribution network 15, can also be taken into account. In a third step S3, the Energy supply and energy consumption in the local energy network 1 also taken into account. In a fourth step S4, the charging plan 11 is then generated and, in particular, the corresponding energy is provided for charging the motor vehicle 5.

In particular, it is thus proposed in a first aspect of the invention that the charging flexibility 12 of the motor vehicle 5 is taken into account in order to create the charging plan 11 for the motor vehicle 5 . The charging plan 11 can take into account both vehicle-specific information and user-specific information and charging-specific information. Furthermore, charging point-specific features can also be taken into account. This can concern, for example, a maximum charging capacity and communication capacities. When the loading plan 11 is generated, other loading plans 11 from the other motor vehicles 5 are in particular also taken into account. If, for example, there are changes, for example if higher energy consumption or higher energy generation or more motor vehicles 5 follow for charging, the charging plan 11 is adjusted in real time and the charging flexibility 12 is taken into account.

In a second aspect, daily load profiles in particular can also be taken into account both for generating energy and for consuming energy in the local energy grid 1 . For this purpose, predictions are used in particular, which predict both the energy consumption and the energy generation. If, for example, the corresponding predictions deviate, the corresponding charging plan 11 can also be adjusted.

In a third aspect it can be provided that the further characterizing parameter 14 of the superordinate distribution network 15 is also taken into account. In particular, it can be provided, for example, that at a transfer point of electrical energy from the higher-level distribution network 15 to the local energy network 1, there is a corresponding recording device that takes into account the further characterizing parameter 14, for example a frequency within the higher-level distribution network 15, and the corresponding charging plan 11 can adapt to this. As a result, for example, the influence of the charging process of the motor vehicle 5 on the higher-level distribution network 15 can also be monitored and adjusted accordingly. Here, in turn, predictions which describe the energy consumption within the higher-level distribution network 15 can be used in order to adapt the charging plan 11 accordingly. Provision can then also be made here for the characterizing parameter 14 in particular to be monitored in real time, and if, for example, the prediction then deviates from reality, the charging plan 11 can be adjusted accordingly.

Reference List

1

local network

2

network management system

3

electronic computing device

4

another local energy grid

5

motor vehicle

6

charging point

7

power generation facility

8th

electrical energy consumer

9

loading information

10

characterizing parameter

11

load plan

12

charging flexibility

13

electrical energy storage

14

other characterizing parameters

15

higher-level distribution network

16

application

S1

first step

S2

second step

S3

Third step

S4

fourth step

QUOTES INCLUDED IN DESCRIPTION

This list of documents cited by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent Literature Cited

• US20200139842A1[0003]
• WO 2020044051 A1 [0004]

Claims (10)

Method for operating a network management system (2) for a local energy network (1), in which at least one charging point (6) of the local energy network (1) for an at least partially electrically operated motor vehicle (5) for charging the at least one motor vehicle (5) by means of of the network management system (2), and in which at least one piece of charging information (9) of the at least one motor vehicle (5) is transmitted to an electronic computing device (3) of the network management system (2) and as a function of the charging information (9) and as a function a charging plan (11) for electrically charging the at least one motor vehicle (5) is determined from a parameter (10) characterizing the local energy network (1) by means of the electronic computing device (3), characterized in that depending on the charging information (9) a loading flexibility (12) of the at least one motor vehicle (5) is determined by means of the electronic computing device (3) and d the charging plan (11) is additionally determined as a function of the charging flexibility (12) of the at least one motor vehicle (5). procedure after claim 1 , characterized in that the charging flexibility (12) is based on a point in time when the at least one motor vehicle (5) is connected to the charging point (6) and/or on a point in time when the at least one motor vehicle (5) is unplugged from the charging point (6) and/or from a residual capacity of an electrical energy store (13) of the at least one motor vehicle (5) and/or a minimum capacity of the electrical energy store (13) at the time of unplugging and/or a potential charging speed of the electrical energy store (13). procedure after claim 1 or 2 , characterized in that a charging capacity and/or a charging speed of the charging point (6) are taken into account when determining the charging plan (11). Method according to one of the preceding claims, characterized in that the charging plan (11) is also adapted when there is a change in the characterizing parameter (10) of the local energy network (1). Method according to one of the preceding claims, characterized in that the characterizing parameter (10) determines an energy supply from an energy generating device (7) in the local energy network (1) and/or an energy consumption by an electrical energy consumer (8) in the local energy network (1). becomes. procedure after claim 5 , characterized in that the characterizing parameter (10) is determined on the basis of a forecast for the provision of energy in the local energy network (1) and/or on the basis of a forecast for the energy consumption in the local energy network (1). Method according to one of the preceding claims, characterized in that in the charging plan (11) a charging start time and/or a charging end time and/or a charging pause and/or a charging speed and/or a charging capacity and/or other motor vehicles (5) which use electrical energy need and for which a further charging flexibility (12) is determined, are taken into account. Method according to one of the preceding claims, characterized in that a further characterizing parameter (14) of a higher-level distribution network (15), which is energetically coupled to the local energy network (1), is taken into account when determining the charging plan (11). Computer program product with program code means, which cause an electronic computing device (3) to do so when the program code means are processed by the electronic computing device (3), a method according to one of Claims 1 until 8th to perform. Network management system (2) for a local energy network (1), with at least one electronic computing device (3), the network management system (2) for carrying out a method according to one of Claims 1 until 8th is trained.

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