DE102018202755A1 - Method and control device for adapting an electric power supply to an electrical power requirement in an electrical network - Google Patents

Abstract

The invention relates to a method for adapting an electrical power supply (23) to an electrical power requirement (30) in an electrical network (10) on which at least one electrical charging station (19) is operated, wherein in the method by a control device (13). the network (10) is provided with a charging prognosis (28) for at least one motor vehicle (20), indicating in which future charging period (29) the motor vehicle (20) is likely to exchange electrical energy with the network (10), depending on a time profile (31) of the power requirement (30) present in the network is estimated, a time profile (32) of the power offer (23) in the network (10) is determined, and for at least one such charging period ( 29) for which it is recognized that the service offering (23) is less than the estimated power requirement (30), at least one predetermined compensation measure (35) is triggered, wherein the at least one compensatory measure (35), the power supply (23) is adjusted to the power requirement (30).

Description

The invention relates to a method for adapting or regulating an electric power supply to an electrical power requirement in an electrical network, e.g. in a public power grid. The network here has the special feature that at least one electrical charging station is operated for coupling electrically driven motor vehicles. The invention also includes a control device for such an electrical network and an electrical network with the control device according to the invention.

In an electrical network, for example a public power grid, in addition to at least one stationary consumer, such as an industrial plant and / or at least one household, at least one charging station for an electrically driven motor vehicle can be operated. At such a charging station, the electrically driven motor vehicle can be connected to receive electrical energy or charging power from the network and thus to charge an electrical energy storage of the motor vehicle. An electrically drivable motor vehicle can also feed electrical power from its energy store into the network to thereby sell electrical energy to the network.

A motor vehicle can request electrical charging power in a range of more than 30 kilowatts at a charging station. A motor vehicle at a charging station thus has a power requirement in the stated range of values from the point of view of the network. The simultaneous charging of several vehicles at one or more charging stations can lead to a peak load in the electrical network. However, when a charging of motor vehicles on the network results, compared to other, permanently connected to the network electrical consumers is relatively indefinite. Therefore, by simultaneously charging many vehicles, unexpectedly or unpredictably large amounts of energy may have to be provided by the network to meet the power requirements of motor vehicles. In order to then stabilize an electrical network, that is to say to prevent a lowering of the electrical voltage below a predetermined minimum value, the purchase of primary control power in the network is usually necessary, which is expensive.

From the US 2009/0192655 A1 a method is known in which an electrical network in a house is monitored with respect to the power requirements of the consumers connected thereto. In the event that the network is also connected to an electric vehicle for charging, the charging cycle of the electric vehicle is controlled in dependence on the power consumption of the other consumers by the charging power is throttled when another consumer of the network requires more power. However, this has the disadvantage that the charging time of the electric vehicle depends on the power requirement in the network. This can lead to an undesirable delay in the charging process.

From the US 2013/0204471 A1 It is known that electrically driven motor vehicles can exchange electrical energy with one another via a coupling device if the recharging of the energy store via an electrical network is too expensive. Thus, owners of motor vehicles can sell and buy each other electric power from their motor vehicles. Every motor vehicle independently monitors how much electrical energy it still has to keep for its own operation. However, this method is technically relatively expensive, since in addition to the actual electrical network nor the coupling device must be provided, through which the motor vehicles can exchange electrical energy with each other independently of the network.

The invention has for its object to enable efficient operation of charging stations on an electrical network.

The object is solved by the subject matters of the independent claims. Advantageous embodiments of the invention are described by the dependent claims, the following description and the figure.

The invention provides a method for adapting an electrical power supply to an electrical power requirement in an electrical network. The range of services is in particular the e.g. electric power available from at least one power plant in the network. The power requirement is in particular the sum of the electrical power that all consumers operated in the network require for their intended unrestricted operation.

At least one electrical charging station for coupling electrically powered motor vehicles is also operated on the network. If a motor vehicle is coupled to a charging station and the charging process or charging operation for the electrical energy storage of the motor vehicle is started, this increases the power requirement by the charging power of the motor vehicle. If this exceeds the range of services offered in the network, then in the case of a public power grid, the relatively expensive primary control power must be requested, which is the missing one Service offer compensated or topped up. In another network, the result may be, for example, the drop in the supply voltage and / or the limitation of the operation of another consumer.

In the method according to the invention, therefore, a respective charging prognosis is created by a control device of the network for at least one of the motor vehicles, that is to say one or more or all of the motor vehicles. Thus, prognosis data concerning the charging prognosis are generated. The charge forecast indicates in which respective future charging period the respective motor vehicle is expected to exchange electrical energy and charging power with the network. It is therefore indicated before the actual charging for charging the electrical energy storage of the motor vehicle already by the charging forecast, at what period the motor vehicle is expected to do so. The charge forecast can specify a required amount of energy and / or a required electrical charging power. Depending on the respective charge forecast for the at least one motor vehicle, a time profile of the power demand present in the network is estimated. Since it is indicated by the charging prognosis when a respective motor vehicle will carry out a charging process on one of the at least one charging station, it is thus also possible to estimate a time profile of the power requirement present in the network.

In addition, a time profile of the independent of the motor vehicle service in the network is determined. It is thus checked how much electrical power of at least one power plant of the network is available over time. Now, the temporal course of the power requirement and the time course of the service offer can be compared. It is thereby triggered for at least one or more such charging periods, for each of which is recognized that the power supply is less than the estimated power requirement, at least one predetermined compensation measure before and / or at the beginning of the respective charging period. The network is thus prepared by the at least one compensation measure for the charging period or upgraded for that charging period, if it is expected that a power requirement will result in the network that is greater than the range of services previously available or planned in the charging period. Due to the at least one compensatory measure, the range of services is adapted to the power requirement accordingly. Thus, the service offer for the loading period is increased or increased in order to meet the performance requirements resulting in the loading period. This is done before and / or at the beginning of the respective loading period, that is, always in advance. In other words, the at least one compensatory measure is triggered or ready or active when the loading period is present.

By the invention there is the advantage that for such a charging period, for which initially a sufficient range of services for covering the power requirement in an electrical network is missing, ie a shortage exists, at least one compensation measure is already triggered before and / or at the beginning of the respective charging period such that the connection or coupling of at least one electrically driven motor vehicle to the at least one charging station of the network does not cause or cause such a load peak which would necessitate the purchase of primary control power. At least the load peak can be reduced so that the required control power is reduced in comparison to the absence of at least one compensation measure. If the electrical network is not a public power network but, for example, a proprietary or company-owned network, the method avoids, for example, a voltage drop in the supply voltage below a minimum value.

The invention also includes embodiments that provide additional benefits.

An embodiment provides that for generating the charge forecast of the respective motor vehicle by the control device description data, for example, be received from the motor vehicle. The description data relate to a current charge state of an electrical energy store of the motor vehicle and / or a current and / or at least one future travel destination of the motor vehicle and / or a consumption course during a current and / or at least one future drive of the motor vehicle. Based on the state of charge can be recognized how likely it is that the motor vehicle is connected to a charging station for recharging electrical energy. Based on the destination can be detected in an advantageous manner, whether the motor vehicle for charging at all will be located at a charging station of the electrical network or will be somewhere else. On the basis of the consumption profile of the future state of charge of the energy storage of the motor vehicle can be estimated or extrapolated. In particular, it is provided to extrapolate the power and / or amount of energy required to fully charge the energy storage device or to charge it to a storage level with which the next destination can be reached, the power being determined for a predetermined charging time. On the basis of said descriptive data, it is determined by the control device whether, according to a predetermined behavioral model of the User of the motor vehicle results in a charging period in which the motor vehicle is charged at one of the at least one charging station of the network. The behavioral model represents a mapping function or assignment function by which the description data is received as input data and which outputs or generates a statement or indication of a resulting loading period for the motor vehicle. The behavioral model may, for example, provide a threshold value for the state of charge, wherein, when the threshold value is undershot, it is assumed that the user connects the motor vehicle to a charging station for recharging electrical energy. The behavioral model can be adapted, for example, to a behavior observed on the user. For example, the behavioral model can be trained. For example, it may include an artificial neural network. The behavioral model may describe or imitate a user's charging habits.

One embodiment provides that description data relating to at least one calendar entry and / or one user profile is received by the control device for generating the charge forecast of the respective motor vehicle. The user profile describes a usage habit of a user of the motor vehicle. By the user profile can be specified, for example, at what times of the day and / or on which days the user in the past and / or on average and / or with a predetermined minimum probability or minimum frequency connects the motor vehicle to a charging station of the network. For example, a calendar entry may specify a location of the user at an appointment specified by the calendar entry. From this it can be estimated at which location the motor vehicle of the user is expected to spend a long time. On the basis of said descriptive data, the control device then determines whether a charging period results according to a predetermined behavioral model of the user, in which the motor vehicle is charged at one of the at least one charging station of the network. The behavioral model can be the already described behavioral model or a separate behavioral model. It can be configured as described.

One embodiment provides that the behavioral model, depending on the description data, indicates a probability and / or an acknowledgment signal for the user of the motor vehicle to connect this to the at least one charging station for recharging electrical energy. The indication of a probability has the advantage that the probability value also indicates the uncertainty with which the charging prognosis was generated. Probability values for several motor vehicles can furthermore advantageously be combined in order to calculate a statistical or average power requirement. An acknowledgment signal, in contrast to the probability, indicates a binary or bivalent statement (charging yes or no). An acknowledgment signal has the advantage that it can be used directly to control the at least one compensation measure.

One embodiment provides that, when the charge forecast is generated, it is determined at which charging station the respective motor vehicle is expected to be charged (local prognosis). This can be determined, for example, on the basis of the described description data. The control device then selects at least one of a plurality of predetermined compensation measures as a function of the determined charging station on the basis of a predetermined criterion for an energy flow optimization. Advantageously, the at least one compensation measure can thus be selected depending on a location or position or a connection point of the charging station on the network. As a result, for example, a distance over which the electrical charging power is transmitted from a power plant of the network to the charging station can be minimized or at least set or held smaller than a predetermined maximum distance. For example, can be distinguished or selected as a compensatory measure between two possible power plants, one of which is to be activated to provide charging power. It can then be activated that power source having the smaller local distance to the charging station.

One embodiment provides that the described time profile of the power requirement is formed as the said sum of requested electrical power of the at least one charging station and at least one further consumer operated on the network. It is determined by each charging station and preferably each consumer of the network, how much electrical power he will request or remove the electrical network. The time profile of the power requirement thus reflects not only the electrical behavior of the at least one charging station, but the entire amount of energy required by the consumers in an advantageous manner.

One embodiment provides that the described time profile of the service offering is calculated as a sum of the planned and / or predicted electrical power output of at least one power plant of the network and / or purchased electric power. It is preferred the service offer is calculated as the sum of each power plant of the network. As a "power plant" is to be understood in the context of the invention, an electrical power source. It can be provided as a power plant, for example, a coal-fired power plant and / or a nuclear power plant and / or a combined heat and power plant. This type of power plant has the advantage that a planned electrical power output is available, as this type of power plant can be switched. As a power plant and at least one hydroelectric power plant and / or at least one photovoltaic system and / or at least one wind power plant can be provided. In this context, a "power plant" is also to be understood as an energy store, ie an electrical energy store (eg battery-based) or a pumped storage power plant can be provided and the predicted amount of energy is released by the stores. For this type of power plant, the power output is preferably predicted since the power output is dependent on an environmental condition and / or the available amount of energy that can be stored at predetermined conditions. A possible power plant in terms of a power source may also be a motor vehicle, which does not draw charging power at a charging station, but feeds electrical power and the network. Purchased electrical power is such power that is purchased through a stock exchange from a network of another electricity provider.

One embodiment provides that at least one of the at least one power plant of the network is based on a respective regenerative energy (ie in particular photovoltaic and / or wind power and / or hydropower) and its power output is predicted and a weather forecast is used for the forecast of the power output , For example, therefore, a sunshine probability and / or a wind speed and / or a precipitation amount can be taken into account in order to determine how much electrical power a photovoltaic system (depending on the sunshine) and / or a wind power plant (depending on the wind power) and / or a Hydroelectric power plant (depending on the amount of precipitation) will or will be available.

One embodiment provides that the at least one compensation measure (for matching the service supply to the power requirement) comprises as a respective compensatory measure that a power plant is put into operation, that is, switched on or switched on in the network, and / or at least a performance roadmap an operating power plant is adapted and / or electrical power is procured on a stock exchange of the energy market (for example, if the network is a public grid) and / or a respective electrical power consumption of at least one other, powered on the network consumer is throttled. By throttling the power consumption of another consumer, therefore, the charging process at the at least one charging station is not adversely affected in an advantageous manner. By the method, the commissioning of a power plant in such a timely manner before the start of the respective charging period that the set-up of the power plant, so the startup is completed when the charging period begins at which the electrical power of the power plant is needed. The adaptation of the performance timetable has the advantage that the reaction time of the power plant can be taken into account, that is, the power plant before the beginning of the charging period, at which the electric power is required, increased or the power is increased.

An embodiment provides that the at least one compensatory measure comprises that electrical energy from another motor vehicle is reloaded into the motor vehicle to be charged. This results in the advantage that the charging of the motor vehicle is at least partially neutral in performance with respect to the network, since in the network itself no power plant must muster additional power. Here is used that a motor vehicle in the manner described can also deliver electrical energy to the network.

In order to be able to carry out the method according to the invention in an electrical network, for example a power grid, a control device for the electrical network is provided by the invention. The control device has a computing device which is set up to carry out an embodiment of the method according to the invention. For this purpose, the computing device can have at least one microprocessor. The computing device can have a program code that is set up to execute the embodiment of the method according to the invention when executed by the computing device. The program code may be stored in a data memory or storage medium of the computing device. The invention accordingly also includes a data memory or a fixed storage medium on which the program code is stored.

Finally, the invention also includes an electrical network to which at least one electrical charging station for coupling electrically powered motor vehicles is connected. The electrical network according to the invention in this case has an embodiment of the control device according to the invention. The electrical network can be, for example, a public power grid or a network of a company or a Industrial plant or a network of a household.

The motor vehicles described may each be, for example, an electric vehicle or a hybrid vehicle.

The invention also includes the combinations of the described embodiments.

The features and combinations of features mentioned above in the description as well as the features and feature combinations mentioned below in the description of the figures and / or shown alone in the figures can be used not only in the respectively indicated combination but also in other combinations or in isolation.

• 1 eine schematische Darstellung einer Ausführungsform des erfindungsgemäßen elektrischen Netzwerks; und
• 2 ein Flussschaudiagramm einer Ausführungsform des erfindungsgemäßen elektrischen Netzwerks.

In the following an embodiment of the invention is described. This shows:

• 1 a schematic representation of an embodiment of the electrical network according to the invention; and
• 2 a Flußschaudiagramm of an embodiment of the electrical network according to the invention.

In the figures, functionally identical elements are each provided with the same reference numerals.

1 shows an electrical network 10 , which may be, for example, a public grid of a network operator. Shown are from the network 10 power lines 11 with electricity pylons 12 and a control device 13 , The design of the power grid 10 is shown here only as an example. It can be at the network 10 Also, for example, to act on a company's own power grid of a production site or a power network of a household. To the network 10 At least one power plant 14 . 15 be connected. Illustrated by way of example is a power plant 14 , which may be, for example, a nuclear power plant or a coal-fired power plant or a combined heat and power plant. Further exemplified is a power plant 15 , which can be based on a regenerative energy, here by way of example wind power and / or photovoltaic, and / or an energy storage. Through every power plant 14 . 15 can electrical supply power 16 in the network 10 be fed. Furthermore, at least one electrical consumer is shown 17 who also joined the network 10 can be connected to electrical power 18 to receive and consume these. Additionally, you can connect to the network 10 at least one electric charging station 19 for electrically driven motor vehicles 20 on the network 10 be connected. The motor vehicles 20 For example, each may be a hybrid vehicle or an electric vehicle. In every motor vehicle 20 can be an electrical energy store 21 be provided in which electrical energy for the movement of the motor vehicle 20 can be stored. To recharge the energy storage 21 can the respective motor vehicle 20 For example, via a respective charging cable with a charging station 19 coupled or connected. The charging station 19 then receives from the network 10 electrical charging power 22 and transfers them to the energy store 21 of the connected motor vehicle 20 ,

At the network 10 must therefore by the power plants 14 . 15 provided electrical supply 16 be big enough to get the performance 18 the consumer 17 and those of the charging stations 19 requested charging power 22 cover or provide. The control device 13 This can be done by the power plants 14 . 15 available services 22 the power plants 14 . 15 determined, ie the sum of the pension benefits 16 , as well as the power requirements, as reflected by the at least one consumer 17 requested service 18 results. But there are the motor vehicles 20 in a road network 24 are on the road and their charging behavior without further knowledge about the condition of motor vehicles 20 from the perspective of the control device 13 Stochastically, it can result in simultaneous charging of multiple vehicles 20 at the charging stations 19 of the network 10 come to that total, the supply 16 the power plants 14 . 15 of the network 10 is not enough to the consumer 17 and the charging stations 19 , on each of which a motor vehicle 20 is charged to cover. The network 10 can be sent to another electricity supplier 25 be connected by the then on a stock exchange 26 for the balancing power market balancing power 27 to the primary regulation of the network 10 (on the electricity exchange energy volumes are traded between generators and consumers, balancing power is offered on the balancing power market and purchased by the grid operator). However, this is undesirable because the control power 27 more expensive than the supply 16 the power plants 14 . 15 of the network 10 even.

Therefore, in the network 10 provided that the control device 13 to the motor vehicles 20 a respective charge forecast 28 determined or created, each at least one loading period 29 indicating to which the respective motor vehicle 20 probably at one of the charging stations 19 of the network 10 will be connected to charging power 22 to receive, and what charging power 22 and what amount of energy is needed. The control device 13 can be used to generate the charge forecasts 28 from the description data 40 on model behavior 42 operate, which, for example, based on the description data 40 determines at which loading time periods 29 the motor vehicles 20 each at one of the charging stations 19 will be charged.

Based on the charge forecasts 28 allows the control device 13 a complete energy and power requirement 30 not only determine the performance 18 for the at least one consumer 17 but also the charging power 22 for the motor vehicles 20 considered.

2 illustrates this over the time t a time course 31 for the power requirement 30 as well as a time course 32 for the service offer 23 , as it is expected in each case. Indicated is the performance P in kilowatts, for example. The time course 31 can be based on the charging predictions 28 the motor vehicles 20 be determined. For example, a loading period may be 29 that does not result in the operation of power plants 14 . 15 is scheduled, which is why a shortage 33 in the network 10 that would result in regulatory power 27 would have to be compensated. Furthermore, a required amount of energy can be monitored in the same way.

To the use of control power 27 can be avoided by the control device 13 before a start 34 or at the beginning 34 of the loading period 29 at least one compensatory measure 35 (please refer 1 ) are triggered by which the service for the loading period 29 is increased, so that a temporal course 36 of a corrected service offering which indicates the charging process in the charging period 29 , that is the one from the corresponding charging station 19 required charging power 22 considered. The at least one compensatory measure 35 For example, that can include a performance roadmap 41 of the power plant 14 adapted to the fact that the power plant 14 in the loading period 29 more supply 16 generates or provides. It may also be in the event that the power plant 14 is turned off, the activation of the power plant 14 be provided as a compensatory measure. Thus, it is in the loading period 29 despite the original deficit or the original shortage 33 not necessary that primary control power 27 is purchased. A compensatory measure 35 can also include that on the stock market 26 electric power for the charging period 29 is purchased, which is then not primary control power 27 but cheaper priced electrical power. A compensatory measure 35 can also provide that a consumer 17 is reduced in power consumption.

To the charging predictions 28 for each of the motor vehicles 20 can be provided that by the control device 13 for example via the internet 37 and at least a mobile network 38 from communication devices 39 the motor vehicles 20 respective description data 40 received, for example, the current state of charge of the respective energy storage 21 of the motor vehicle 20 and / or a current consumption of the motor vehicle 20 and / or a travel destination of the motor vehicle 20 describe. The description data 40 can also directly a scheduled loading period 29 specify. From the description data 40 can through the control device 13 be determined whether a motor vehicle 20 at one of the charging stations 19 of the network 10 is expected to be connected and with charging power 22 needs to be supplied.

3 summarizes again the essential steps of the process by the control device 13 can be executed. In one step S10 becomes at least one of the motor vehicles 20 a respective charge forecast 28 created, which indicates in which loading period 29 the car 20 expected electrical energy from the network 10 receive or to the network 10 feed. In one step S11 may depend on the respective charge forecast 28 a time course 31 in the network 10 present power requirement 30 to be appreciated. In one step S12 can be a time course 32 of the motor vehicles 20 independent services 23 in the network 10 be determined. In one step S13 can for at least one such loading period 29 for which it is recognized that the service offering 23 less than the estimated power requirement 30 is (deficiency 33 ), at least one predetermined compensatory measure 35 before and / or at the beginning 34 of the respective loading period 29 triggered by the at least one compensatory measure 35 the range of services to the power requirement 30 is adjusted so that the course 36 results.

Through the digital networking of motor vehicles 20 , the mobility plan of the user of the respective motor vehicle described by the description data 20 That networking with the charging infrastructure formed from the charging stations 19 and the power generator with the power plants 14 . 15 Energy requirements or performance requirements and energy availability or service offerings can be predicted and aligned. Here, the forecast of the charging behavior of motor vehicles 20 (when is where, how much electrical energy or power needed and / or how much electrical energy and / or power can be provided) can be achieved that the purchase of control power 27 on the energy market (stock market 26 ) for the network 10 can be reduced.

The embodiment illustrates how the invention for an electric power grid or network allows forecasting and regulation of the power and energy requirements in charging processes of electric vehicles.

LIST OF REFERENCE NUMBERS

10

network

11

cables

12

power pole

13

control device

14

power plant

15

power plant

16

Electric supply

17

consumer

18

Electrical power

19

charging station

20

motor vehicle

21

energy storage

22

charging power

23

services

24

road network

25

power Supplier

26

stock market

27

control power

28

load forecasting

29

Charging period

30

power requirement

31

Time course

32

Time course

33

undersupply

34

beginning

35

compensatory measure

36

Time course

37

Internet

38

mobile network

39

communicator

40

Description data

41

performance schedule

42

model behavior

P

Electrical power

QUOTES INCLUDE IN THE DESCRIPTION

This list of the documents listed by the applicant has been 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.

Cited patent literature

• US 2009/0192655 A1 [0004]
• US 2013/0204471 A1 [0005]

Claims (12)

A method for adapting an electrical power supply (23) to an electrical power requirement (30) in an electrical network (10) on which at least one electrical charging station (19) is operated for coupling electrically powered motor vehicles (20), wherein in the method a control device (13) of the network (10) - to at least one of the motor vehicles (20) a respective charging prognosis (28) is provided which indicates in which respective future charging period (29) the motor vehicle (20) is expected to replace electrical energy and charging power (22) with the network (10) . - a time profile (31) of the power requirement (30) present in the network is estimated as a function of the respective charging prognosis (28), - A time course (32) of the of the motor vehicles (20) independent power supply (23) in the network (10) is determined, and for at least one such charging period (29) for which it is recognized that the service offering (23) is less than the estimated power requirement (30), at least one predetermined compensation measure (35) before and / or at the beginning (34) of the respective charging period (29) is triggered, wherein by the at least one compensation measure (35) the supply of services (23) is adjusted to the power requirement (30). Method according to Claim 1 wherein for generating the charging prognosis (28) of the respective motor vehicle (20) by the control device (13) description data (40) concerning a current state of charge of an electrical energy store (21) of the motor vehicle (20) and / or a current and / or at least one future travel destination of the motor vehicle (20) and / or a consumption course during a current and / or at least one future trip of the motor vehicle (20) are received and determined by the control device (13) on the basis of the description data (40), if according to a predetermined behavioral model of the user of the motor vehicle (20) results in a charging period (29) in which the motor vehicle (20) is charged at one of the at least one charging station (19). Method according to one of the preceding claims, wherein for generating the charging prognosis (28) of the respective motor vehicle (20) by the control device (13) description data (40) relating to at least one calendar entry and / or a user profile which a user's habit of the motor vehicle (20 ), and it is determined by the control device (13) on the basis of the description data (40) whether, according to a predetermined behavioral model of the user, a loading period (29) results, in which the motor vehicle (20) at one of the at least one Charging station (19) is charged. Method according to Claim 2 or 3 wherein the behavioral model in dependence on the description data (40) indicates a probability and / or a confirmation signal that the user of the motor vehicle (20) will connect this to the at least one charging station (19) for recharging electrical energy. Method according to one of the preceding claims, wherein when the charging prognosis (28) is established, it is determined at which charging station (19) the respective motor vehicle (20) is expected to be charged and at least one of a plurality of predetermined compensation measures (35) as a function of the determined charging station ( 19) is selected on the basis of a predetermined criterion for energy flow optimization. Method according to one of the preceding claims, wherein the time profile (31) of the power requirement (30) as a sum of requested electrical power (18, 21) of the at least one charging station (19) and at least one further consumer operated on the network (10) (17) is formed. Method according to one of the preceding claims, wherein the time course (32) of the power offer (23) as a sum of a planned and / or predicted electrical power output of at least one power plant (14, 15) of the network (10) and / or purchased electrical power calculated becomes. Method according to Claim 7 in which at least one of the at least one power plant (15) of the network (10) is based on a respective regenerative energy and a forecast of the weather is based on a weather forecast. Method according to one of the preceding claims, wherein the at least one compensatory measure (35) comprises as a respective compensatory measure that a power plant (14) is put into operation and / or a performance timetable (41) of at least one power plant in operation (14) is adjusted and / or electrical power is procured at a stock exchange (26) and / or a respective electrical power consumption of at least one other, on the network (10) powered consumer (17) is throttled. Method according to one of the preceding claims, wherein the at least one compensating measure (35) comprises that electrical energy another motor vehicle (20) is reloaded in the aufzuladende motor vehicle (20). An electrical network control device (13), wherein the control device (13) has a computing device which is set up to carry out a method according to one of the preceding claims. Electrical network (10), to which at least one electrical charging station (19) for coupling electrically driven motor vehicles (20) is connected, wherein the network (10) is a control device (13) according to Claim 11 having.

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