Method for operating power supply network, control device for operating power supply network, and power supply network having such control device

Abstract

The invention relates to a method for operating a power supply network (1) having a power supply assembly (7) having at least one first power supply device (5) and having a second power supply device (9), in which a load demand (15) for the power supply network (1) is detected, detecting first power provision information (17) from the at least one first power provision device (5) and second power provision information (19) from the power provision assembly (7), determining a first load allocation (21) by means of nonlinear optimization on the basis of the load demand (15), the first power provision information (17) and the second power provision information (19), and determining a second load allocation (22) by means of nonlinear optimization on the basis of the second power provision information (19). The first load distribution comprises a first partial load (24) for the at least one first power supply device (5) and a second partial load (26) for the power supply assembly (7), and wherein a second load distribution (23) is determined by means of mixed integer linear optimization, the second partial load (26) is divided to second power supply devices (9) of the power supply assembly (7), the power supply network (1) is operated with the first load distribution (21), and the power supply assembly (7) is operated with the second load distribution (23).

Description

Technical Field

[0001] The invention relates to a method for operating a power supply network, a control device for carrying out such a method, and a power supply network having such a control device. Background Art

[0002] This power supply network can have at least one first power supply device and have the power supply assembly of the second power supply device.For the load demand of the power supply network, cost-optimal as far as possible, that is to say, with the smallest possible cost and / or with the highest possible supply security, it is allocated to the at least one first power supply device on the one hand and to the power supply assembly on the other hand, and the load share allocated to the power supply assembly in addition is allocated to the second power supply device within the power supply assembly, which can be expressed as a mathematical optimization problem. However, according to the exact physical design scheme of at least one first power supply device and the second power supply device, it is necessary to be based on different mathematical models, such as linear models, nonlinear models, neural networks, or other models. If the power supply device can be connected and disconnected, binary variables must be applied, and it cannot adopt intermediate values. In contrast, renewable energy sources, such as photovoltaic or wind, cannot be connected or disconnected, but rather depend on uncontrollable parameters to supply energy. This leads to the problem that the optimization of the operation of such a power supply network by means of a higher-level mathematical construction may be suboptimal, in particular with regard to the quality of the optimization, the scalability of the power supply network, the computing time and the maintainability of the software carrying out the optimization. Summary of the invention

[0003] The invention is based on the object of specifying a method for operating a power supply network, a control device for carrying out such a method, and a power supply network having such a control device, wherein the aforementioned disadvantages are at least reduced, preferably avoided.

[0004] This object is achieved by providing the present technical teaching, in particular the teaching of the independent claim and the preferred embodiments disclosed in the dependent claims and the description.

[0005] The object is achieved in particular by providing a method for operating a power supply network having at least one first power supply device and at least one power supply assembly having a second power supply device, wherein a load demand for the power supply network is detected. First power supply information is detected from at least one first power supply device, and second power supply information is detected from the power supply assembly. Based on the load demand, the first power supply information and the second power supply information, in particular in a hierarchically upper step, a first load distribution is determined by means of nonlinear optimization, which includes a first partial load for at least one first power supply device and a second partial load for the power supply assembly. A second load distribution is determined by means of mixed integer linear optimization, in particular in a hierarchically lower step, by which the second partial load is divided or distributed to the second power supply device of the power supply assembly. The power supply network is operated with the first load distribution, and the power supply assembly is operated with the second load distribution. Advantageously, in this way, the global optimization problem can be divided into two hierarchical optimization problems, wherein the first optimization problem of the upper level relates to the load distribution between at least one first power supply device and the power supply assembly, and wherein the second optimization problem of the lower level relates to the (so to speak secondary) load distribution of the load distributed to the power supply assembly, that is to say to the second partial load on the second power supply device within the power supply assembly. The two hierarchical optimization problems can be solved by means of different mathematical methods, which are respectively adapted, in particular, to the physical design of the different power supply devices, i.e., in particular, the first optimization problem of the upper level is solved by means of nonlinear optimization and the second optimization problem of the lower level is solved by means of mixed integer linear optimization. In this way, the quality of the optimization is advantageously increased, the optimization can be expanded in a simple manner, the calculation time is advantageously short, and the software provided for the optimization can be well and simply maintained, in particular due to the modular structure.

[0006] In one embodiment, the power supply network has a plurality of power supply assemblies, and each power supply assembly has a plurality of second power supply devices.

[0007] In one embodiment, the load demand for the power supply network is calculated by the power supply network, in particular by its control device, in particular by the first control module itself. In another embodiment, the load demand is received by the power supply network, in particular by its control device, in particular by the first control module, in particular from a load device that is operatively connected to the power supply network and supplied with power by the power supply network, or from an operator of the power supply network or the load device.

[0008] In the context of current technical teaching, power provision information is particularly understood as one or more information or data, which is related to the power provision by one or more power provision devices. Such power provision information can be selected in particular from the following group, which includes: the minimum power that can be provided, the maximum power that can be provided, the average value or expected value of the power that can be provided, the current available power, the current available power gradient, the constraints existing in the case of considering the power provision, the cost information about the cost generated in terms of the available power, the on or off state of the power provision device, the duration since the last on or off process of the power provision device and the usability of the power provision device. In particular, it is possible to strive for the balance of the operating time of each power provision device and the aging and loss at the same time by means of the consideration of the duration since the last on or off process of the power provision device. In particular, the power provision information can depend on time and in particular (in particular from the current time point) relate to the predicted duration. In this case, it is particularly advantageously feasible to calculate the load distribution for the future on the predicted duration, in particular from the current time point.

[0009] In the context of the current technical teaching, the costs incurred with respect to the power that can be provided are understood in particular to be at least one cost contribution, which is selected from the operating costs, in particular only the costs with respect to emissions, and the maintenance costs of the power supply device or the power supply assembly. In one embodiment, the operating costs and the maintenance costs, in particular the sum of the operating costs and the maintenance costs, are used as the costs.

[0010] In particular, the first power provision information can include a plurality of information or data, which can be configured in particular as an information vector. In particular, the first power provision information can include currently available power, for example depending on the weather, and / or include a minimum available power, a maximum available power, an average value or an expected value of the available power, currently available power, constraints existing in the case of taking into account the power provision, and / or the availability of at least one first power provision device. In particular, the first power provision information can be given in a time-dependent manner, in particular with respect to a predicted duration.

[0011] In particular, the second power provision information can include a plurality of information or data, which can be configured in particular as an information vector. In particular, the second power provision information can include the currently available power and / or the currently available power gradient, and alternatively or additionally include the costs incurred with respect to the power provision and / or the constraints existing when considering the power provision. In particular, the second power provision information can be given in a time-dependent manner, in particular with respect to the predicted duration.

[0012] In particular, the load demand is divided completely into a first load component and a second load component.

[0013] According to a development of the invention, it is provided that the first load distribution is determined by optimizing a first cost function (also referred to as total cost function) calculated based on the first and second power provision information, optionally under boundary conditions, by means of nonlinear optimization. In particular, in this way, the load can be advantageously divided at least approximately cost-optimally, preferably cost-optimally, on the one hand, on the at least one first power provision device and on the other hand on the power provision assembly.

[0014] In particular, the first load distribution is determined in a time-dependent manner, in particular with regard to a forecast duration.

[0015] According to a variant of the invention, it is provided that a third power provision information is correspondingly detected for the second power provision device of the power provision assembly, wherein a second cost function, also referred to as a partial cost function, is calculated based on the third power provision information, and wherein a second load distribution is determined by optimizing the second cost function by means of mixed integer linear optimization (optionally under boundary conditions). In particular, in this way, the load share that is distributed to the power provision assembly, in particular according to the first load, can be advantageously distributed to the second power provision device, that is to say the second partial load, at least approximately in an approximately cost-optimal manner, preferably in an cost-optimal manner.

[0016] In particular, the second load distribution is determined in a time-dependent manner, in particular with respect to a forecast duration.

[0017] By means of the boundary conditions, in particular aspects of the supply security of the power supply via the power supply network can be taken into account. In particular, the boundary conditions can be selected differently, for example depending on the system importance of the load device to be supplied with power.

[0018] In particular, the third power provision information can accordingly include a plurality of information or data, which can be constructed in particular as an information vector. In particular, the corresponding third power provision information can include the currently available power of the assigned second power provision device and / or the currently available power gradient, and alternatively or additionally include the costs generated by the assigned second power provision device in terms of power provision and / or the constraints existing when taking into account the assigned second power provision device. In particular, the corresponding third power provision information can also include the following information: whether the assigned second power provision device is currently connected or disconnected, and / or it can currently be connected or disconnected, for example due to maintenance or for thermal reasons. In particular, the third power provision information can be given in a time-dependent manner, in particular with respect to the predicted duration.

[0019] In one specific embodiment, the information, which may be included, in particular by the third power provision information, about which second power provision device is currently switched on or off, at least does not directly participate, in particular does not participate, in the calculation of the first load distribution.

[0020] In particular, the third power provision information does not participate in the hierarchically superior calculation of the first load distribution. A complete hierarchical separation between the superior nonlinear optimization and the subordinate mixed integer optimization is advantageously achieved as long as this is consistent.

[0021] According to a development of the invention, it is provided that the second power provision information is calculated based on the third power provision information, in particular as information about the power provision assembly which is derived from all third power provision information calculated about the respective second power provision device.

[0022] According to a modification of the invention, it is provided that as the second power supply device, a power supply device is used which can be freely controlled by the power supply network, wherein as at least one first power supply device, a power supply device is used whose current maximum power depends on at least one condition which can not be influenced by the power supply network. Here, in the context of current technical teachings, the current maximum power is understood to be the power that can be generated by the first power supply device at a certain point in time, especially based on the uncontrollable or only slightly controllable situation existing at the certain point in time. Thus, the current maximum power is not in particular the rated power of the first power supply device, but in particular (depending on the current situation) deviates from the rated power in a time-varying manner or fluctuates around the rated power.

[0023] In particular, a combination of an internal combustion engine and an electric machine operatively connected to the internal combustion engine in driving manner may be used as the second power supply device, wherein such a combination is also referred to as a generator set or genset.

[0024] The at least one first power supply device is preferably selected from the group consisting of a wind turbine, a photovoltaic system and an electrical energy storage device, in particular a battery or a capacitor. Thus, in particular, the operation of the at least one first power supply device can depend on the weather as a condition that can be independent of the power supply network or on the state of charge (SOC) of the energy storage device as a condition that can be only slightly controllable.

[0025] When calculating the load distribution, it should be taken into account in particular that only the switched-on second power supply device, for example a generator set, can supply its maximum power or rated power, if possible taking into account a limited power gradient over time. In contrast, the switched-off second power supply device must first be started and only after a synchronization time can it supply power to the power supply network. In particular, under these conditions, a power contribution of the power supply assembly that can be present over time results.

[0026] In the case of considering the cost of the power supply by the power providing assembly, it should be particularly noted that the cost of the entire power providing assembly is derived from the cost of each second power providing device, which can be designed differently from each other (for example, with different rated powers), wherein the assigned specific power cost can also be different. For the required determined total power of the power providing assembly, different feasible solutions can be obtained, which are proposed by means of different second power providing devices, that is, the total power can be distributed to different second power providing devices in different ways. That is to say, different feasible solutions for the second power distribution are particularly obtained. Thus, the corresponding different costs for generating the total power are also particularly relevant. However, in one embodiment, only one time-dependent cost information assigned to the power providing assembly is always considered for calculating the first load distribution. Then, as long as it is determined in advance (especially by the operator), the maximum cost, minimum cost or average cost for the power providing assembly should be considered in the case of considering different feasible second load distributions.

[0027] If the maximum cost of the power supply assembly is taken into account for calculating the first load distribution, this has the effect in particular that the power supply assembly is assigned a smaller load share than when the minimum cost or average cost is to be taken into account. Advantageously, the costs actually incurred can be lower than the predicted costs, but it should be taken into account that a correspondingly higher load share assigned to the at least one first power supply device can possibly be generated with lower reliability. As a result, the power supply is less secure than when the minimum cost or average cost is taken into account.

[0028] If the minimum cost of the power supply assembly is taken into account for calculating the first load distribution, this results in the power supply assembly being assigned a higher load share than when the maximum cost or the average cost is to be taken into account. Advantageously, this higher load share can be generated with a particularly high reliability, so that the power supply is particularly safe. However, the costs actually generated can be higher than the predicted costs.

[0029] If the average cost of the power supply assembly is taken into account for calculating the first load distribution, a particularly compromise or balanced scenario between the two (extreme) scenarios described above is obtained. In particular, the costs actually incurred can be both higher and lower than the predicted costs.

[0030] The decision as to whether to take into account the maximum, minimum or average cost for the power supply assembly can be made, in particular, depending on the application of the power supply network, in particular on the design of the load devices to be supplied, in particular on their system importance or on the risk associated with insufficiently met load requirements. In this case, in particular economic aspects and safety aspects with regard to power generation can be weighed against each other (also in a time-varying manner). The corresponding decision or weighing is then implemented, in particular, by the boundary conditions to be taken into account within the scope of calculating the load distribution.

[0031] In one embodiment, a first load distribution is calculated while optimizing, in particular minimizing, a total cost function (optionally under boundary conditions), the cost contribution of the at least one first power supply device and the power supply assembly respectively participating therein together with a first share factor defining the first load distribution. In order to optimize, in particular minimize, the total cost function, in particular the first share factor is varied, wherein the first share factor found during the optimization, in particular minimization, of the total cost function determines the first load distribution.

[0032] Alternatively or additionally, the second load distribution is calculated in the case of optimization, in particular minimization, of the partial cost function (optionally under boundary conditions), the cost contribution of the second power supply device of the power supply assembly correspondingly participating therein with a second share factor defining the second load distribution. In order to optimize, in particular minimize the partial cost function, in particular the second share factor is changed, wherein the second share factor found in the optimization, in particular minimization, of the partial cost function determines the second load distribution.

[0033] In this case, the boundary conditions may, as explained, take into account in particular the safety or reliability of the power generation.

[0034] The object is also achieved by proposing a control device for operating a power supply network, the power supply network having at least one first power supply device and a power supply assembly having a second power supply device, wherein the control device has a first control module (which is hierarchically higher) and a second control module (which is hierarchically lower). The first control module is configured to obtain a load demand, calculate or receive first power supply information from at least one first power supply device, receive second power supply information from a second control module, determine a first load distribution based on the load demand, the first power supply information and the second power supply information by means of nonlinear optimization, the first load distribution comprising a first partial load for at least one first power supply device and a second partial load for the power supply assembly, and operate the power supply network with the first load distribution. The second control module is configured to receive the second partial load from the first control module, determine a second load distribution by means of mixed integer linear optimization, divide or distribute the second partial load to the second power supply device of the power supply assembly, and operate the power supply assembly with the second load distribution. In particular, the advantages already explained in connection with the method are obtained with respect to the control device.

[0035] The control device is designed in particular to carry out the method according to the invention or the method according to one or more of the above-described embodiments.

[0036] In one specific embodiment, the first control module is designed to calculate the load requirement itself. Alternatively or additionally, the first control module is designed to receive the load requirement, in particular from a load device or from an operator.

[0037] According to a development of the invention, it is provided that the first control module is designed to optimize a first cost function, in particular a total cost function, calculated based on the first and second power provision information by means of nonlinear optimization and to derive the first load distribution therefrom.

[0038] According to a modified embodiment of the present invention, the second control module is configured to calculate or receive third power supply information from the second power supply device of the power supply assembly, and calculate a second cost function, in particular a partial cost function, based on the third power supply information, and obtain a second load distribution by mixed integer linear optimization of the second cost function.

[0039] In particular, the second control module is configured to calculate the second power provision information based on the third power provision information.

[0040] In one embodiment, the first control module is configured to calculate the first load distribution without information, which may be included in particular by the third power provision information, about which second power provision device is currently switched on or off. In particular, at the same time, the second control module is configured not to communicate corresponding information about the switching state of the second power provision device to the first control module. In particular, the second control module is configured not to communicate the third power provision information to the first control module. It is advantageous if a complete hierarchical separation between the control modules is achieved consistently, on the one hand, with respect to the nonlinear optimization of the previous level and on the other hand with respect to the mixed integer optimization of the next level.

[0041] Finally, the object is also achieved by proposing a power supply network, which has at least one first power supply device and a power supply assembly having a second power supply device. In addition, the power supply network has a control device according to the invention or a control device according to one or more of the previously described embodiments. In particular, the advantages already explained above with respect to the method or the control device result in the power supply network.

[0042] According to a modification of the invention, the second power supply device comprises an internal combustion engine and an electric machine for generating electric power, which is operatively connected to the internal combustion engine in driving mode. In particular, the second power supply device is thus configured as a generator set or Gensets.

[0043] Alternatively or additionally, it is provided that the at least one first power providing device is selected from the group consisting of a wind turbine, a photovoltaic system and an electrical energy storage device, in particular a battery or a capacitor.

[0044] According to a modification of the invention, it is provided that the power supply network has at least one load device or is operatively connected to at least one load device. The control device, in particular the first control module, is particularly configured to receive a load request from at least one load device. The load device can be in particular a local electrical load, for example an electrical network of a ship, a port or a hospital or a factory or other public institution.

[0045] In one embodiment, the power supply network is in particular a so-called microgrid or microgrid. However, it is possible that the power supply network is electrically connected to a larger, in particular cross-regional electrical network, in particular a cross-regional power grid.

[0046] In particular, the invention also includes a power assembly comprising a power supply network and a load device operatively connected, in particular electrically connected, to the power supply network. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The invention is explained in more detail below with reference to the drawings, in which the single FIGURE shows a schematic illustration of an exemplary embodiment of a power supply network with an exemplary embodiment of a control device and a schematic illustration of an exemplary embodiment of a method for operating a power supply network. DETAILED DESCRIPTION

[0048] The single FIGURE shows a schematic illustration of an exemplary embodiment of a power supply network 1 with an exemplary embodiment of a control device 3 and also shows schematically an exemplary embodiment of a method for operating the power supply network 1 .

[0049] The power supply network 1 can be in particular a so-called microgrid or microgrid. It is possible for the power supply network 1 to be electrically connected to a larger, in particular cross-regional electrical network, in particular a cross-regional power grid.

[0050] The power supply network 1 has at least one first power supply device 5, preferably a plurality of first power supply devices 5, a power supply assembly 7 of a second power supply device 9 and a control device 3. It is possible for the power supply network 1 to have a plurality of power supply assemblies 7.

[0051] The control device 3 has a first control module 11 and a second control module 13 .

[0052] The first control module 11 is configured to obtain a load demand 15, calculate or receive first power provision information 17 from at least one first power provision device 5, receive second power provision information 19 from the second control module 13, and determine a first load distribution 21 by means of nonlinear optimization based on the load demand 15, the first power provision information 17 and the second power provision information 19, the first load distribution comprising a first partial load 24 for at least one first power provision device 5 and a second partial load 26 for the power provision assembly 7. In addition, the first control module 11 is configured to operate the power supply network 1 with the first load distribution 21.

[0053] The first control module 11 is designed in particular to calculate a load requirement 15 or to receive a load requirement 15 in particular from a load device 22 operatively connected to the power supply network 1 and supplied with power via the power supply network 1 or from an operator of the power supply network 1 or of the load device 22 .

[0054] The load device 22 can in particular be a local electrical load, for example an electrical network of a ship, a port, a factory or a hospital or another public institution.

[0055] The second control module 13 is configured to receive the second partial load 26 from the first control module 11 and to determine a second load distribution 23 by means of mixed integer linear optimization, by which the second partial load 26 is distributed to the second power supply device 9 of the power supply assembly 7. Furthermore, the second control module 13 is configured to operate the power supply assembly 7 with the second load distribution 23.

[0056] In particular, the control device 3 is designed to carry out the method described in greater detail below.

[0057] In particular, the load demand 15 is divided completely between a first partial load 24 and a second partial load 26 .

[0058] Preferably, the first control module 11 is designed to optimize a first cost function calculated based on the first and second power provision information 17 , 19 by means of nonlinear optimization and to derive the first load distribution 21 therefrom.

[0059] Preferably, the second control module 13 is configured to calculate or receive the third power provision information 25 from the second power provision device 9 of the power provision assembly 7, and calculate the second cost function based on the third power provision information, and obtain the second load distribution by mixed integer linear optimization of the second cost function. In particular, the second control module 13 is configured to calculate the second power provision information 19 based on the third power provision information.

[0060] The first power provision information 17 includes in particular the minimum power that can be provided, the maximum power that can be provided, the average value or expected value of the power that can be provided, the currently available power, the constraints that exist when considering the power provision, the cost information about the costs incurred with respect to the available power, and / or the availability of the first power provision device 5. In particular, the first power provision information 17 can depend on time and in particular relate to the predicted duration. Preferably, the first power provision information 17 includes a plurality of information or data, wherein it is in particular constructed as an information vector. Preferably, the first power provision information 17 includes the currently available power, for example, depending on the weather, in particular on the time, in particular about the predicted duration.

[0061] Preferably, the second power provision information 19 includes a plurality of information or data, wherein it is especially constructed as an information vector. Preferably, the second power provision information 19 includes the currently available power and / or the currently available power gradient, and alternatively or additionally includes the costs incurred with respect to the power provision and / or the constraints existing when considering the power provision. Preferably, the second power provision information 19 is given as a function of time, especially with respect to the predicted duration.

[0062] The third power provision information 25 preferably includes a plurality of information or data, wherein it is particularly constructed as an information vector. Preferably, the corresponding third power provision information 25 includes the currently available power of the second power provision device 9 assigned and / or the currently available power gradient, and alternatively or additionally includes the cost generated by the second power provision device 9 assigned in terms of power provision and / or the constraints existing when considering the second power provision device 9 assigned. Preferably, the corresponding third power provision information 9 also includes information on whether the second power provision device 9 assigned is currently connected or disconnected, or whether it can be connected or disconnected at present. Preferably, the third power provision information 25 is given in a time-dependent manner, particularly with respect to the predicted duration.

[0063] In particular, the second power supply device 9 has an internal combustion engine 27 and an electric machine 29 for generating electrical power, which is drive-operably connected to the internal combustion engine 27. The at least one first power supply device 5 is preferably selected from the following group, which includes: a wind power plant 5.1, a photovoltaic plant 5.2 and an electrical energy storage device 5.3, in particular a battery or a capacitor.

[0064] Within the scope of the embodiment of the method for operating the power supply network 1, in particular, a load demand 15, a first power supply information 17 and a second power supply information 19 are detected, and a first load distribution 21 (including a first partial load 24 and a second partial load 26) is determined by means of nonlinear optimization based on the load demand 15, the first power supply information 17 and the second power supply information 19. By means of mixed integer linear optimization, a second load distribution 23 is determined, by which the second partial load 26 is distributed to the second power supply device 9 of the power supply assembly 7. The power supply network 1 is operated with the first load distribution 21, and the power supply assembly 7 is operated with the second load distribution 23.

[0065] In particular, the first load distribution 21 is determined by optimizing a first cost function calculated based on the first and second power provision information 17 , 19 by means of nonlinear optimization.

[0066] For the second power supply device 9 of the power supply assembly 7, in particular, the third power supply information 25 is detected accordingly, wherein a second cost function is calculated based on the third power supply information 25, and wherein the second load distribution 23 is determined by optimizing the second cost function by means of mixed integer linear optimization. The second power supply information 19 is calculated in particular based on the third power supply information 25.

[0067] As the second power supply device 9, in particular a power supply device 9 is used which can be freely controlled by the power supply network 1. Conversely, as the at least one first power supply device 5, in particular a power supply device 5 is used whose current maximum power depends on at least one condition which can be unaffected by the power supply network 1 or can be slightly influenced by it, in particular a wind power plant 5.1, a photovoltaic plant 5.2 and / or an electrical energy storage device 5.3.

Claims

1. A method for operating a power supply network (1) having at least one first power supply device (5) and a power supply assembly (7) having a second power supply device (9), wherein: - detecting a load demand (15) on the power supply network (1), wherein: - detecting first power supply information (17) of the at least one first power supply device (5) and second power supply information (19) of the power supply assembly (7), wherein: - Based on the load demand (15), the first power provision information (17) and the second power provision information (19), a first load distribution (21) is determined by means of nonlinear optimization, the first load distribution comprising a first partial load (24) for the at least one first power provision device (5) and a second partial load (26) for the power provision assembly (7), wherein: - determining a second load distribution (23) by means of mixed integer linear optimization, by means of which the second partial load (26) is divided among the second power supply means (9) of the power supply assembly (7), wherein: The power supply network (1) is operated with the first load distribution (21), and the power supply assembly (7) is operated with the second load distribution (23).

2. The method according to claim 1, wherein: The first load distribution (21) is determined by optimizing a first cost function calculated based on the first and second power provision information (17, 19) by means of the nonlinear optimization.

3. A method according to any one of the preceding claims, wherein: A third power supply information (25) is detected correspondingly for a second power supply device (9) of the power supply assembly (7), wherein a second cost function is calculated based on the third power supply information (25), and wherein the second load distribution (23) is determined by optimizing the second cost function with the aid of the mixed integer linear optimization.

4. A method according to any one of the preceding claims, wherein: The second power supply information (19) is calculated based on the third power supply information (25).

5. A method according to any one of the preceding claims, wherein: As the second power supply device (9), a power supply device (9) that can be freely controlled by the power supply network (1) is applied, wherein, as the at least one first power supply device (5), a power supply device (5) is applied, whose current maximum power depends on at least one condition that can not be influenced by the power supply network (1).

6. A control device (3) for operating a power supply network (1) having at least one first power supply device (5) and a power supply assembly (7) having a second power supply device (9), wherein: The control device (3) comprises a first control module (11) and a second control module (13), wherein: - the first control module (11) is configured to obtain a load demand (15), calculate or receive first power provision information (17) from at least one first power provision device (5), and receive second power provision information (19) from the second control module (13), and determine a first load distribution (21) based on the load demand (15), the first power provision information (17) and the second power provision information (19) by means of nonlinear optimization, the first load distribution comprising a first partial load (24) for the at least one first power provision device (5) and a second partial load (26) for the power provision assembly (7), and operate the power supply network (1) with the first load distribution (21), wherein: The second control module (13) is configured to receive the second partial load (26) from the first control module (11) and to determine a second load distribution (23) by means of mixed integer linear optimization, by which the second partial load (26) is distributed to a second power supply device (9) of the power supply assembly (7), and the power supply assembly (7) is operated with the second load distribution (23).

7. The control device (3) according to claim 6, wherein: The first control module (11) is designed to optimize a first cost function calculated based on the first and second power provision information (17, 19) by means of nonlinear optimization and to derive the first load distribution (21) therefrom.

8. The control device (3) according to any one of claims 6 or 7, wherein: The second control module (13) is configured to calculate or receive third power supply information (25) from the second power supply device (9) of the power supply assembly (7), calculate a second cost function based on the third power supply information (25), and obtain the second load distribution (23) by mixed integer linear optimization of the second cost function.

9. A power supply network (1) having at least one first power supply device (5) and a power supply assembly (7) having a second power supply device (9), and having a control device (3) according to any one of claims 6 to 8.

10. The power supply network (1) according to claim 9, wherein: The second power supply device (9) accordingly comprises an internal combustion engine (27) and an electric machine (29) operatively connected to the internal combustion engine (27) for generating electrical power, and / or wherein: The at least one first power providing device (5) is selected from the group consisting of a wind power installation (5.1), a photovoltaic installation (5.2) and an electrical energy storage device (5.3), in particular a battery or a capacitor.

11. The power supply network (1) according to claim 9, comprising at least one load device (22), wherein: The control device (3) is designed to receive the load request (15) from the at least one load device (22).

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