Cost-efficient operation of a facility of the metal industry and of additional sub-systems of a compound system

Abstract

A compound system comprises an electrical energy store (6) and additional sub-systems (1, 4, etc.), including a facility (1) of the metal industry. The facility (1) and the energy store (6) are connected to one another and to an electrical supply network (2) for the transmission of electrical energy. Before the start of a first time horizon (T1), initial states (Z1, Z4, etc.) of the sub-systems (1, 4, etc.), which are expected at the start of the first time horizon (T1), are known to a control device (9). Furthermore, before the start of the first time horizon (T1), a planned first time curve (E1) of the draw of electrical energy from the supply network (2) and planned first operating modes (B1, B4, etc.) of the additional sub-systems (1, 4, etc.) for the first time horizon (T1) are known to the control device (9). On the basis of the initial state (Z6) of the energy store (6), the planned first time curve (E1) and the planned first operating modes (B1, B4, etc.), the control device (9) ascertains an expected end state (Z6') of the energy store (6) for the end of the first time horizon (T1). Proceeding from the expected end state (Z6') and planned second operating modes (B1', B4', etc.) of the additional sub-systems (1, 4, etc.) for a second time horizon (T2) immediately following the first time horizon (T1) that are known to the control device (9), said control device ascertains for the second time horizon (T2) possible second time curves (E2) of the draw of electrical energy which are each pareto-optimal in terms of multiple cost functions (K1, K2) which are dependent on the respective second time curve (E2). Before the start of the first time horizon (T1), one of said second time curves (E2) is determined by the control device (9) as the second time curve (E2) of the draw of electrical energy. As far as possible, the control device (9) operates the additional sub-systems (1, 4, etc.) during the time horizons (T1, T2) based on the planned first and second operating modes (B1, B4, etc., B1', B4', etc.) and operates the electrical energy store (6) in such a way that the result is the draw of electrical energy from the supply network (2) during the time horizons (T1, T2) according to the planned first and the determined second time curve (E1, E2).

Description

[0001] Description

[0002] Title of the invention

[0003] Cost-efficient operation of a metal industry plant and other subsystems of an overall system

[0004] field of technology

[0005] The present invention is based on an operating method for an overall system,

[0006] - where the overall system comprises an electrical energy storage device and other subsystems as a subsystem,

[0007] - the other subsystems include a metal industry plant,

[0008] - the metal industry plant and the electrical energy storage facility for transmitting electrical energy are directly or indirectly connected to each other and to an electrical supply network,

[0009] - wherein, before the beginning of a first time horizon, a control device controlling the overall system knows the initial states of the subsystems which are to be expected for the subsystems at the beginning of the first time horizon.

[0010] The present invention is further based on a control program for a control device for an overall system,

[0011] - where the overall system comprises an electrical energy storage device and other subsystems as a subsystem,

[0012] - the other subsystems include a metal industry plant,

[0013] - the metal industry plant and the electrical energy storage facility for transmitting electrical energy are directly or indirectly connected to each other and to an electrical supply network,

[0014] - wherein the control program comprises machine code that can be processed by the control device,

[0015] - wherein the processing of the machine code by the control device causes the control device to control the entire system according to such an operating method.

[0016] The present invention is further based on a control device for an overall system,

[0017] - where the overall system comprises an electrical energy storage device and other subsystems as a subsystem,

[0018] - wherein the further subsystems comprise a metal industry plant, - wherein the metal industry plant and the electrical energy storage device for transmitting electrical energy are directly or indirectly connected to each other and to an electrical supply network,

[0019] - wherein the control device is programmed with such a control program, so that the control device controls the entire system according to such an operating method when executing the machine code of the control program.

[0020] The present invention is further based on an overall system,

[0021] - where the overall system comprises an electrical energy storage device and other subsystems as a subsystem,

[0022] - the other subsystems include a metal industry plant,

[0023] - the metal industry plant and the electrical energy storage facility for transmitting electrical energy are directly or indirectly connected to each other and to an electrical supply network,

[0024] - wherein the overall system comprises such a control device which, when executing the machine code of such a control program, controls the overall system according to such an operating method.

[0025] State of the art

[0026] The items mentioned are known, for example, from the article “Green Energy Supply for the Steel Industry,” Stahl und Eisen, August 2022, pages 22 to 24.

[0027] KR 2019 0136300 A describes an industrial process associated with an energy storage system. The industrial process can be a more or less complex technical process comprising several subprocesses that build on each other and interact with each other. The industrial process has various types of loads, namely loads that must always be supplied with energy, loads that can be switched off, and loads whose energy consumption is adjustable. The actual energy consumption of the various components of the industrial plant is determined. The operation of the industrial plant and the energy storage system are coordinated to minimize costs.

[0028] US 10 354297 B2 discloses an arrangement comprising a domestic consumer, an energy generator, and an energy storage device. The operation of the energy storage device can be determined taking into account the consumer's planned energy consumption. Furthermore, weather data can also be utilized. Price information for purchasing electrical energy from a supply grid and for feeding electrical energy into the supply grid can also be taken into account. It is known from TW 201 235 124 A that the energy consumption of a metal industry plant—specifically, a rolling mill—can be predicted with good accuracy given a known operating mode of the metal industry plant.

[0029] From the technical article “Two-stage discrete-continuous multi-objective load optimisation: An industrial consumer utility approach to demand response” by Ahmed Abdulaal et al., Applied Energy 206, (2017), 206-221 , an operating method for an overall system is known, wherein the overall system comprises an electrical energy storage device and other subsystems as a subsystem. The subsystems are directly or indirectly connected to one another and to an electrical supply grid for the transmission of electrical energy. The other subsystems can also include a metal industry plant. Before the start of a first time horizon, a control device controlling the overall system knows the initial states of the subsystems which are to be expected for the subsystems at the start of the first time horizon.Before the start of the first time horizon, the control device is also aware of a planned first temporal profile of a consumption of electrical energy from the supply network and planned first operating modes of the other subsystems for the first time horizon.

[0030] Summary of the invention

[0031] In the past, the costs incurred in determining the operation of metal industry plants – including the associated energy costs – were taken into account. However, this was only done in the sense that the total electrical energy demand and the resulting electrical energy costs were taken into account. As the shift toward renewable energies progresses, the availability of electrical energy (including the temporal fluctuations in the costs incurred for electrical energy) must be considered to a much greater extent, as the availability and thus also the costs of electrical energy will be subject to significantly greater fluctuations in the future than in the past.

[0032] Decisive for the efficient use of the electrical energy storage device within the scope of the present invention are, on the one hand, the - expected - future electricity demand of the metal industry plant and, on the other hand, the - expected - future price for electrical energy drawn from the supply grid.

[0033] Although the above-mentioned technical article states that the metal industry plant and the electrical energy storage system are controlled and operated by an intelligent energy management system, it does not provide any further details on the implementation of the intelligent energy management system. The object of the present invention is to create possibilities for achieving cost-efficient operation of an overall system that includes a metal industry plant and an electrical energy storage system as subsystems.

[0034] The object is achieved by an operating method having the features of claim 1. Advantageous embodiments of the operating method are the subject of dependent claims 2 to 10.

[0035] According to the invention, an operating method of the type mentioned at the outset is designed in that

[0036] - that the control device is aware of a planned first temporal profile of the consumption of electrical energy from the supply network and planned first operating modes of the other subsystems before the start of the first time horizon,

[0037] - that the control device determines an expected final state of the electrical energy storage device for the end of the first time horizon based on the initial state of the electrical energy storage device, the planned first time profile of the electrical energy consumption and the planned first operating modes of the other subsystems,

[0038] - that the control device, based on the expected final state of the electrical energy storage device and the second operating modes of the further subsystems known to the control device and planned for a second time horizon immediately following the first time horizon, determines possible second temporal profiles of the electrical energy consumption for the second time horizon,

[0039] - that the control device determines the possible second temporal profiles of the consumption of electrical energy in such a way that they are each Pareto-optimal with respect to a plurality of respective cost functions dependent on the respective second temporal profile of the consumption of electrical energy,

[0040] - that the dependencies of the cost functions on the respective second temporal course of the purchase of electrical energy vary from cost function to cost function,

[0041] - that the control device determines one of the determined possible second temporal profiles of the electrical energy consumption for the second time horizon as the second temporal profile of the electrical energy consumption,

[0042] - that the control device determines the second time profile of the electrical energy consumption before the beginning of the first time horizon,

[0043] - that the control device, as far as possible, operates the other subsystems during the first and second time horizons based on the planned first and second operating modes and operates the electrical energy storage device in such a way that the electrical energy consumption from the supply grid during the first and second time horizons results from the planned first and the specified second temporal profile of the electrical energy consumption. The term "subsystems", when used without further suffixes, encompasses all subsystems, both above and below, i.e., both the electrical energy storage device and the other subsystems. The term "other subsystems", however, encompasses only the other subsystems, but not the electrical energy storage device.

[0044] A metal industry plant is typically a plant in the metal-producing industry or a plant that directly processes produced metal, for example an arc furnace, a converter, a continuous casting plant and / or a rolling mill.

[0045] The states of the subsystems can be defined as needed. They can include, in particular, "normal" operating states ("how the subsystem is currently operating"), operating limits ("what is possible and what is no longer possible"), and wear states.

[0046] Specifically for the electrical energy storage device, the corresponding partial state includes, in particular, the extent to which the energy storage device is charged (in percentage and / or absolute terms) and the temperature of the energy storage device's storage cells. Furthermore, the corresponding partial state can also include the wear level of the energy storage device or parts of the energy storage device. The corresponding partial state can also, in principle, include maximum possible and currently maximum possible operating variables, for example, charging and discharging currents. This applies equally to the initial state, the final state, and states before the first time horizon, during the first and second time horizon, and after the second time horizon.

[0047] It is possible for the control device to first determine the planned first temporal profile of the electrical energy consumption from the supply grid for the first time horizon before the start of the first time horizon and then, based on this profile, to determine the planned first operating modes of the various other subsystems. Alternatively, the reverse approach is possible. Alternatively, it is possible for the planned first operating modes of the other subsystems to be known to the control device first (for example, because they are specified to the control device or determined by the control device) and for the control device to then determine the first temporal profile of the electrical energy consumption based on the planned first operating modes.In any case, the planned operating mode of the electrical energy storage system is derived from the specified initial time course of electrical energy consumption and the corresponding planned initial operating modes of the other subsystems. The electrical energy storage system is, so to speak, the slave that obeys its masters, with the other subsystems and the specified initial time course of electrical energy consumption from the supply grid being the masters. Both the first and second time horizons are usually several hours. For example, the first time horizon can be 12 hours. The second time horizon can be 24 hours, for example. These values ​​are typical within the European Union (EU).They correspond to the typical situation that bids for contracts for the entire following day (i.e., from midnight to midnight of the following day) must be submitted to the energy exchange by 12:00 noon on a given day. However, the present invention is not limited to the values ​​mentioned for the two time horizons.

[0048] In the simplest case, the control system uses only two cost functions to determine the respective possible second temporal profiles of electrical energy consumption. However, it is also entirely possible for the control system to perform a Pareto optimization for more than two cost functions. The term "Pareto optimal" itself has a clearly defined meaning; see, for example, the entry "Pareto optimum" in the German Wikipedia, accessed on June 27, 2023. The term "Pareto optimization" essentially means that input variables are varied with the aim of minimizing several cost functions. The Pareto optimum is achieved when, by varying the input variables of the cost functions, a further minimization of one of the cost functions is only possible if another of the cost functions assumes a larger value.

[0049] The present invention is based on the previously known fact that large quantities of electrical energy are frequently purchased on the spot market. For this purpose, prices for electrical energy that is made available or purchased the following day are determined in an auction by 12:00 noon on a specific day (in the EU and as things stand; this may, of course, change in the future and be different in other regions of the world). These prices are valid for a specific hour of the following day. For example, electrical energy may have a different price between 8:00 a.m. and 9:00 a.m. than between 12:00 p.m. and 1:00 p.m.

[0050] However, the negotiated prices only apply if the agreed amount of electrical energy is actually consumed. Furthermore, at least within the EU, it is usually also agreed that the total amount of electrical energy agreed for the respective hour must be consumed equally over the four quarter-hour periods of the corresponding hour. If this is not the case, i.e., if the actual consumption of electrical energy during the specified quarter-hour period differs from the agreed consumption of electrical energy, a different price applies. However, this different price is not only not agreed in advance, but is simply not yet fixed.The alternative price will, in particular, take into account whether and, if so, at what cost the grid operator must procure additional electrical energy, or whether and, if so, at what cost the grid operator can otherwise utilize purchased but not used electrical energy. The alternative price may therefore differ significantly from the actually agreed price.

[0051] This creates considerable uncertainty for the operator of the overall system. It would be considerably more reliable if it could be guaranteed that, during subsequent operation of the overall system, the previously purchased amount of electrical energy is actually drawn from the supply grid, but no more and no less. To reduce these uncertainties, electrical energy storage devices are used - both in the prior art and in the present invention. Such energy storage devices can compensate for fluctuations so that the previously ordered amount of electrical energy can actually be drawn from the supply grid. This is precisely what the inventive approach ensures in an excellent manner. Due to Pareto optimization, not only a single optimum is determined, but the entire set of possible optima (or at least a representative part of the entire set).This creates the possibility of selecting the preferred optimum from the set of possible optima. Such a selection can be made, for example, by an operator based on their experience.

[0052] In a preferred embodiment, the cost functions comprise a first cost function whose value depends on the costs of operating the electrical energy storage device during the second time horizon, without taking into account the costs of purchasing electrical energy. In this case, the first cost function reflects the price for operating the electrical energy storage device itself, i.e., the costs due to depreciation or amortization of wear and tear, maintenance, etc.

[0053] It is possible for the control device to offer the determined possible second temporal profiles of the electrical energy consumption to an operator of the overall system for selection and to receive from the operator a selection of at least one of the offered possible second temporal profiles of the electrical energy consumption. In this case, the operator's selection determines the setting of the second temporal profile of the electrical energy consumption. Alternatively, in the case of such a cost function, it is possible and often even preferable for the control device to set the second temporal profile of the electrical energy consumption

[0054] - submits a number of requests for the purchase of respective quantities of electrical energy via the Internet to an energy exchange for a number of periods of the second time horizon, with respective conditions being assigned to the requests,

[0055] - checks whether and, if so, for which of the requirements the requested purchase of electrical energy is promised by the energy exchange subject to fulfilment of the respective assigned conditions, and - then determines the second temporal course of the purchase of electrical energy taking into account those requirements for which the desired purchase of electrical energy is promised by the energy exchange subject to fulfilment of the respective assigned conditions.

[0056] The requirements can, in particular, be prices that the operator of the overall system is willing to pay. The operator can, for example, select several Pareto-optimal second temporal patterns for the purchase of electrical energy, each determined by the control unit, and submit corresponding bids for the associated patterns on an energy exchange. In this case, the ultimately determined second temporal pattern for the purchase of electrical energy is the temporal pattern whose bid is just met. The final determination is therefore made according to the motto "if you can get the amount of electricity X at price Y, then choose solution A; if you can get the amount of electricity X at price Z, then choose solution B."

[0057] Alternatively, it is possible for the cost functions to comprise a first cost function whose value depends on the costs of operating the electrical energy storage device during the second time horizon and the costs of purchasing electrical energy. In this case, a temporal progression for the expected price for purchasing electrical energy for the second time horizon must be known or established based on an estimate. The price may additionally depend on the quantity of electrical energy purchased during a specific time unit. Furthermore, in this case, the control device will generally offer the determined possible second temporal progressions of electrical energy consumption to an operator of the overall system for selection and will accept a selection from the operator of at least one of the offered possible second temporal progressions of electrical energy consumption.In this case, the operator will usually select only a single Pareto-optimal second time course.

[0058] In a preferred embodiment, the cost functions comprise a second cost function whose value depends on the temporal progression of a state of charge of the electrical energy storage device during the second time horizon. The second cost function preferably results in a value for the possible reserve of the electrical energy storage device during the second time horizon. The upward reserve (i.e. how much energy the electrical energy storage device can still absorb when needed) and the downward reserve (i.e. how much energy the electrical energy storage device can release when needed) can, if necessary, be determined independently of one another or combined into a common value with independent weighting. The possible second temporal progressions of the electrical energy consumption preferably satisfy uniform constraints.This ensures that the solutions found, i.e. the possible second temporal progressions, are permissible.

[0059] The constraints may, for example, include a minimum required state of charge, a maximum required state of charge, and / or a maximum charging current of the electrical energy storage device. The constraints may also include a specific state of charge or a specific range within the generally permissible state of charge that the energy storage device should have at the end of the second time horizon.

[0060] Preferably, the control device proceeds to determine a respective possible second temporal profile of the electrical energy consumption in such a way that it

[0061] - for the second time horizon, a second temporal progression of the consumption of electrical energy is used and values ​​of the cost functions and gradients of the cost functions are determined for the second temporal progression,

[0062] - based on the totality of the gradients, decides whether the second time course is Pareto-optimizable or not,

[0063] - in the event that the second time course is not Pareto-optimizable, adopts the second time course as a possible second time course and

[0064] - in the event that the assumed second temporal course is Pareto-optimizable, a direction of descent is determined using the gradients of the cost functions, the assumed second temporal course is varied using the direction of descent and the determination of the values ​​of the cost functions and the gradients of the cost functions as well as the variation is repeated until the assumed second temporal course is Pareto-optimal, and the assumed second temporal course is then adopted as a possible second temporal course.

[0065] In the simplest case, with only two cost functions, the direction of descent can be determined, for example, by using the angle bisector of the two gradients of the cost functions as the direction of descent. The second time course can be Pareto-optimal if the two gradients point in opposite directions.

[0066] Appropriate procedures for testing whether Pareto optimization is possible in the case of more than two cost functions, and how this optimization can be carried out, can be found in the paper "Stochastic Method for the Solution of Unconstrained Vector Optimization Problems" by S. Schäffler, R. Schulz and K. Weinzierl, published in Journal of Optimization Theory and Applications 114 (1), pages 209 to 222, January 2002. In particular, in the general case, the following approach can be taken for the direction of descent. The desired direction of descent is the weighted sum of the gradients of the cost functions. The weighting factors are determined by the fact that they are non-negative, i.e., they are 0 or greater than 0, and their sum is 1. The concrete values ​​of the weighting factors are those values ​​for which the square of the L2 norm of the sum of the gradients weighted with the weighting factors is minimal.If G denotes the direction of descent, Gi the gradients of the cost functions and wi the weighting factors, then the following must hold:. with the conditions wi > 0 and 2 wi = 1 .

[0067] It is readily possible to determine a solution for this using well-known numerical methods. This can then lead to a path that leads to at least a local Pareto optimum. The paper also outlines ways to achieve a global Pareto optimum.

[0068] During operation of the other subsystems, disruptions may occur repeatedly during both the first and second time horizons. This may make it necessary for the other subsystems to operate in a manner that deviates from the planned second operating modes. The control device therefore checks during the second time horizon whether the other subsystems need to operate in a manner that deviates from the planned second operating modes. If no deviating operating mode is required, the control device operates the other subsystems in accordance with the planned second operating modes and operates the electrical energy storage device in such a way that the electrical energy drawn from the supply grid during the second time horizon corresponds to the specified second temporal profile of the electrical energy drawn.In the event that a different mode of operation is required, various procedures are possible.

[0069] In rare cases, such changes in operation have no impact on electrical energy demand. In this case, no adjustment of the electrical energy supply from the supply grid is necessary. The same applies to an adjustment of the operation of the electrical energy storage system. However, such deviations usually also have consequences for electrical energy demand. To compensate for such changes in electrical energy demand, options are available, on the one hand, to adjust the operation of the electrical energy storage system and, on the other hand, to adjust the electrical energy supply from the supply grid.

[0070] In the simplest case, the control device always adapts the operating mode of the energy storage device (naturally within the limits of its capabilities). However, it is better if, in the event that a different operating mode is required, the control device operates the other subsystems according to the different operating modes and determines the extent to which this changes the electrical energy demand of the other subsystems, which was used as the basis for determining the second temporal profile of electrical energy consumption. Based on this, the control device preferably checks whether the specified second temporal profile of electrical energy consumption can be maintained by adapting the operation of the electrical energy storage device.If the specified second temporal profile of the electrical energy consumption cannot be maintained, the control device changes the electrical energy consumption with or without adjusting the operation of the electrical energy storage device to enable the different operating mode of the other subsystems. However, if the specified second temporal profile of the electrical energy consumption can be maintained, the control device preferably decides whether and, if so, to what extent to change the electrical energy consumption and operates the electrical energy storage device accordingly.

[0071] The control unit therefore decides, in cases where this is possible, whether to use the reserve in the electrical energy storage device immediately or to store it for later. Storing it for later can be useful, for example, if a fault is currently occurring which requires more electrical energy, but the electrical energy is reliably or at least likely to be inexpensively available at the time of the fault, whereas it will definitely or at least likely be considerably more expensive later on. Other scenarios are also conceivable. For example, the inverse approach can be useful if the changed operating modes of the other subsystems result in a lower consumption of electrical energy.

[0072] Preferably, the control device makes its decision based on the type and extent of the change in the electrical energy demand of the other subsystems, the current charge level of the electrical energy storage device, progress in the second time horizon, and / or estimated prices for the purchase of electrical energy during the remaining part of the second time horizon. In practice, this leads to cost optimization without compromising the technical aspects.

[0073] As a rule, the operating method according to the invention is repeatedly executed iteratively. The second time horizon of a respective iteration is at least partially part of the first time horizon of the subsequent iteration. In the simplest case, the same cost functions are always used from iteration to iteration. Preferably, however, at least one of the cost functions is determined individually from iteration to iteration.

[0074] The determination of the corresponding cost function can be carried out in particular depending on the expected price for the purchase of electrical energy and / or depending on the planned operation of the plant during the second time horizon of the respective iteration.

[0075] The object is further achieved by a control program having the features of claim 11. According to the invention, the processing of the machine code by the control device causes the control device to control the entire system according to an operating method according to the invention.

[0076] The object is further achieved by a control device having the features of claim 12. According to the invention, the control device is programmed with a control program according to the invention, so that the control device controls the entire system according to an operating method according to the invention when executing the machine code of the control program.

[0077] The object is further achieved by an overall system having the features of claim 13. According to the invention, the control device is designed as a control device according to the invention which, when the machine code of the control program is executed, controls the overall system according to an operating method according to the invention.

[0078] Short description of the drawings

[0079] The above-described properties, features, and advantages of this invention, as well as the manner in which they are achieved, will become clearer and more readily understood in connection with the following description of an embodiment, which is explained in more detail in conjunction with the drawings.

[0080] FIG 1 an overall system,

[0081] FIG 2 a flow chart,

[0082] FIG 3 a timeline,

[0083] FIG 4 a flow chart,

[0084] FIG 5 another flow chart,

[0085] FIG 6 another flow chart,

[0086] FIG 7 another flow chart,

[0087] FIG 8 two cost functions,

[0088] FIG 9 two cost functions,

[0089] FIG 10 is a flowchart and FIG 11 is a communication structure.

[0090] Description of the embodiments

[0091] According to FIG. 1, an overall system comprises a plant 1 in the metal industry. Plant 1 can have several components. Examples of such plants 1 are an iron-producing component (e.g., a DRI plant), an electric arc furnace, a converter, and a ladle plant. Another possible plant 1 is a hot strip mill.

[0092] Plant 1 consumes electrical energy during its operation. Plant 1 can obtain electrical energy from an electrical supply network 2, to which it is connected directly (not shown) or indirectly (for example, via a converter 3). Supply network 2 is typically a three-phase network and thus a multi-phase supply network. The three-phase network is often operated at a medium voltage in the range of 20 kV to 30 kV or at a high voltage of 110 kV.

[0093] The overall system often includes an electrolysis system 4 as a further subsystem. The invention is explained below in connection with such an embodiment. However, the electrolysis system 4 is not absolutely necessary.

[0094] The electrolysis plant 4 also consumes electrical energy during its operation. The electrolysis plant 4 is therefore also connected to the power grid 2. The electrolysis plant 4 requires a direct current for its operation. A rectifier 5 is therefore typically arranged upstream of the electrolysis plant 4, so that only an indirect connection to the power grid 2 exists.

[0095] In some cases, plant 1 requires hydrogen for its operation. In this case, plant 1 and electrolysis plant 4 are directly or indirectly connected to each other for the transfer of hydrogen, as shown in FIG. 1. Any pumps, valves, and the like are not shown in FIG. 1.

[0096] The overall system further comprises an electrical energy storage device 6 as a subsystem. The energy storage device 6 is directly or indirectly connected to the supply grid 2 at least for absorbing electrical energy from the supply grid 2, and possibly also for supplying electrical energy to the supply grid 2. The energy storage device 6 is also connected to the system 1 and the electrolysis system 4 for supplying electrical energy. If the energy storage device 6 absorbs electrical energy, it is always drawn from the supply grid 2. If the energy storage device 6 releases electrical energy, it is used primarily to cover the needs of the system 1 and the electrolysis system 4 and only secondarily for feeding into the supply grid 2.As a result, depending on whether the electrical energy delivered by the energy storage device 6 is greater or smaller than the electrical energy consumed by the system 1 and the electrolysis system 4, electrical energy can be temporarily fed into the supply network 2 or drawn from the supply network 2.

[0097] The precise nature of the electrical connection between system 1, electrolysis system 4, and electrical energy storage device 6 and the supply grid 2 is of secondary importance. In particular, rectifiers 5, inverters, and other converters 3 can be assigned to the various subsystems 1, 4, and 6 as required. However, it should be ensured that electrical energy can be transferred from energy storage device 6 to system 1 and electrolysis system 4 without going through supply grid 2.

[0098] The subsystems 1, 4, 6 explained above represent a small configuration of the overall system, with the metal industry plant 1 and the electrical energy storage system 6 forming the minimum configuration. However, the overall system can also include other subsystems 7, 8, as shown in FIG. 1. Only one or both of the subsystems 7, 8 can be present, as needed.

[0099] For example, the overall system can comprise a hydrogen storage unit 7. The hydrogen storage unit 7 can be designed as a storage unit in the narrower sense, i.e., as a dedicated hydrogen storage unit. However, the pipeline network through which hydrogen is transported also has a certain storage capacity and can serve as a hydrogen storage unit 7. The hydrogen storage unit 7, if present, is connected directly or indirectly to the electrolysis system 4 for absorbing hydrogen and directly or indirectly to the system 1 for releasing hydrogen. Due to the hydrogen storage unit 7, the operation of the system 1 and the electrolysis system 4 can be designed more flexibly.

[0100] If hydrogen storage 7 is present, it is possible for the hydrogen generated by electrolysis plant 4 to be continuously fed to hydrogen storage 7, and for any hydrogen required by plant 1 to be continuously supplied by hydrogen storage 7, so that hydrogen storage 7 serves as a transfer station for the hydrogen. However, a direct connection between plant 1 and electrolysis plant 4 is also possible.

[0101] Alternatively or additionally, the overall system can comprise a power generation device 8, for example a wind turbine or a photovoltaic system. In this case, the power generation device 8 is connected directly or indirectly to the other subsystems 1, 4, 6, 7 that absorb or emit electrical energy, and also to the electrical supply grid 2, for the transmission of electrical energy. A converter, which is usually required for the power generation device 8, can be regarded as a component of the power generation device 8. It is not shown in FIG 1. Preferably, the supply of electrical energy from the power generation device 8 to the subsystems 1, 4, 6, 7 is possible without a detour via the supply grid 2.

[0102] In the following, a distinction is made between the electrical energy storage device 6, on the one hand, and all other subsystems 1, 4, and possibly also 7, 8. The "other subsystems" do not include the electrical energy storage device 6, but only all other subsystems 1, 4, and possibly also 7, 8. If, however, the term "subsystems" is used without the suffix "other," all subsystems 1, 4, 6, and possibly also 7, 8 are meant, i.e., including the electrical energy storage device 6.

[0103] The overall system further comprises a control device 9. The control device 9 is programmed with a control program 10. The control program 10 comprises machine code 11 that can be processed by the control device 9. Due to the programming with the control program 10, the control device 9 processes the machine code 11. The processing of the machine code 11 by the control device 9 causes the control device 9 to control the overall system according to an operating method that is explained in more detail below in connection with FIG 2. Before the operating method according to the invention is explained, however, it is pointed out that the control device 9 is explained below as a uniform control device 9 which jointly controls the subsystems 1, 4 and 6 and possibly also 7, 8 of the overall system.However, the control device 9 can also have its own sub-control device for controlling the subsystems 1, 4 and 6 and possibly also 7, 8. In this case, a corresponding exchange of information and a corresponding agreement or coordination must take place between the sub-control devices. Furthermore, it is assumed below that the electrolysis system 4 and also the hydrogen storage device 7 and the power generation device 8 are present. However, the procedure is fundamentally similar if the subsystem 4, the subsystem 7 and / or the subsystem 8 are not present or if additional subsystems not previously mentioned are present.

[0104] According to FIG. 2, an initial state Z of the overall system is known to the control device 9 in a step S1. The initial state Z comprises a corresponding partial state Z1, Z4, Z6, Z7, Z8 for each of the subsystems 1, 4, 6, 7, and 8. The number of the respective partial state Z1, Z4, Z6, Z7, Z8 corresponds to the reference symbol of the respective subsystem 1, 4, 6, 7, 8.

[0105] For example, the partial state Z1 - assuming the presence of corresponding components of Annex 1 - can include the following quantities:

[0106] - the production progress of an iron-producing plant,

[0107] - the production progress of an arc furnace,

[0108] - a process state of a continuous casting machine, a temperature of a furnace upstream of a rolling mill, wear conditions of work rolls of rolling stands of the rolling mill, whether rolling passes are currently being carried out in the rolling stands of the rolling mill.

[0109] The partial state Z1 can further include which materials are currently in which state in Plant 1. For example, the partial state Z1 - assuming the presence of corresponding materials in corresponding components of Plant 1 - can include the following variables:

[0110] - quantity and condition of a charge in an arc furnace or in a ladle,

[0111] - Periods of time for which rolled goods are already in a furnace,

[0112] - Temperatures of the rolled goods.

[0113] The partial state Z4 can, for example, include a temperature and a chemical composition of the electrolysis liquid of the electrolysis system 4 and a wear state of the electrolysis system 4.

[0114] The partial state Z6 includes at least the state of charge of the electrical energy storage device 6, i.e., the degree to which the electrical energy storage device 6 is charged. The partial state Z6 can also include other variables, for example, a temperature of the electrical energy storage device 6 or a maximum possible or permissible charging and discharging current. Furthermore, the partial state Z6 can include a wear state of the electrical energy storage device 6.

[0115] According to FIG 3, the initial state Z relates to a time t0 at which a first time horizon T1 begins. Since step S1 is carried out before time t0, the initial state Z is an expected state. The expected state can be predicted by the control device 9, for example, starting from a state existing at the current time and based on an operating mode of the subsystems 1, 4, etc. defined up to time t0. According to FIG 3, the first time horizon T1 extends over a significant period of time, for example 12 hours. Of course, a different period of time is also possible. However, several hours - for example 2 hours, 3 hours and hourly further up to, for example, 24 hours - are generally not undercut, and several days (i.e. 2 days, 3 days, etc. up to a maximum of 7 days) are not exceeded.

[0116] In a step S2, the control device 9 is informed of planned first operating modes B1, B4, B7, B8 for the other subsystems 1, 4, etc. (i.e., not for the electrical energy storage device 6). Furthermore, in step S2, the control device 9 is informed of a planned first temporal profile E1 for the consumption of electrical energy from the supply network 2. The operating modes B1, B4, B7, B8 and also the first temporal profile E1 are related to the first time horizon T1 according to FIG. 3. In a step S3, the control device 9 defines an operating mode B6 for the electrical energy storage device 6 for the first time horizon T1. The definition is made based on the planned first operating modes B1, B4, etc. for the other subsystems 1, 4, etc. and the planned first temporal profile E1 for the consumption of electrical energy from the supply network 2.In particular, based on the known operating modes B1, B4, B7, B8, it is determined to what extent the corresponding further subsystems 1, 4, 7, 8 require electrical energy at a given time t. In conjunction with the planned first temporal profile E1 of the electrical energy consumption from the supply network 2, it can thus be determined at what time t what quantity of electrical energy must be absorbed or released by the electrical energy storage device 6. With step S3, the operating mode of the overall system is thus determined for the first time horizon T1.

[0117] In a step S4, the control device 9 determines an expected final state Z6' of the electrical energy storage device 6. The expected final state Z6' is related to the end of the first time horizon T1 according to FIG 3. The control device 9 determines the expected final state Z6' based on the initial state Z6 of the electrical energy storage device 6 and the previously determined operating mode B6 for the electrical energy storage device 6, i.e., as a result, based on the planned first temporal profile E1 of the electrical energy consumption and the planned first operating modes B1, B4, etc. of the further subsystems 1, 4, etc. As a rule, the control device 9 also determines the expected final states ZT, Z4', etc. of the further subsystems 1, 4, etc. in step S4. However, the determination of the expected final states ZT, Z4', etc. of the further subsystems 1, 4, etc. is of secondary importance within the scope of the present invention.

[0118] In a step S5, the control device 9 is informed of planned second operating modes BT, B4' etc. of the further subsystems 1, 4, etc. The planned second operating modes BT, B4' can be specified to the control device 9, for example, by an operator 12 (see FIG. 1). The planned second operating modes BT, B4' etc. are - see FIG. 3 - related to a second time horizon T2, which immediately follows the first time horizon T1. According to FIG. 3, the second time horizon T2 extends over a significant period of time, for example 24 hours. Of course, another period is also possible. However, as a rule, several hours are not undercut and several days are not exceeded. The above explanations regarding the first time horizon T1 apply analogously.

[0119] In a step S6, the control device 9 defines a second temporal profile E2 for the consumption of electrical energy from the supply network 2 for the second time horizon T2. ​​Step S6 will be explained in more detail later. In a step S7, the control device 9 defines an operating mode B6' for the electrical energy storage device 6 for the second time horizon T2. ​​The definition is made based on the planned second operating modes BT, B4', etc., and the planned second temporal profile E1 for the consumption of electrical energy from the supply network 2. The above explanations for step S3 apply analogously. With the execution of step S7, the corresponding operating mode of the overall system is thus defined for the second time horizon T2.

[0120] Steps S1 to S7 are executed before time t0, i.e., before the beginning of the first time horizon T1. In a step S8, the control device 9 therefore waits for the beginning of the first time horizon T1. The control device 9 then proceeds to a step S9.

[0121] In step S9, the control device 9 controls - as far as possible - the subsystems 1, 4, 6, etc. according to the previously determined planned first operating modes B1, B4, B6, etc. If necessary, the control device 9 also controls the converter 3 within the scope of step S9. As a result, the electrical energy storage device 6 thus compensates for the difference between the electrical energy demand of the other subsystems 1, 4, etc. on the one hand and the - specified - first profile E1 of the electrical energy consumption. The compensation takes place for each time point t or at least for shorter periods of time, typically a maximum of 10% of the first time horizon T1. The shorter periods are usually in the range of a few minutes, for example 15 minutes each.

[0122] To adjust whether and to what extent electrical energy is supplied to the electrical energy storage device 6 or whether and to what extent the electrical energy storage device 6 releases electrical energy, a bidirectionally operable converter unit can be assigned to the electrical energy storage device 6, for example. This converter unit is not shown in FIG. 1. Rather, it is considered a component of the electrical energy storage device 6.

[0123] Step S9 is executed repeatedly until the end t1 of the first time horizon T1 is reached. This is checked by the control device 9 in a step S10.

[0124] If the control device 9 does not return from step S10 to step S9, the control device 9 proceeds to step S11. In step S11, the control device 9 controls - as far as possible - the subsystems 1, 4, 6, etc. according to the previously determined planned second operating modes BT, B4', B6', etc. As a result, the electrical energy storage device 6 thus compensates, as before, for the difference between the electrical energy demand of the other subsystems 1, 4, etc., on the one hand, and the - specified - second profile E2 of the electrical energy consumption. The compensation takes place for each time point t or at least for shorter periods of time, typically a maximum of 10% of the second time horizon T2. ​​The shorter periods are usually in the range of a few minutes, for example 15 minutes each.

[0125] Step S11 is repeatedly executed by the control device 9 until the end t2 of the second time horizon T2 is reached. This is checked by the control device 9 in a step S12.

[0126] If the control device 9 does not return from step S12 to step S11, the control device 9 proceeds to step S13. In step S13, further measures are taken. For example, the control device 9 can adjust the two time horizons T1, T2 in step S13 and then return to step S1. In this case, the entire procedure of FIG. 2 is executed iteratively and repeatedly, albeit with new time horizons T1, T2 in each case. As a rule, during the renewed execution, the second time horizon T2 of a respective iteration is at least partially part of the first time horizon T1 of the respective subsequent iteration.

[0127] FIG 2 shows a simplified procedure. The actual procedure is somewhat more complex. In particular, in reality a rolling procedure is used. Steps S1 to S13 are therefore carried out repeatedly, with the times t0, t1 and t2 or the time horizons T1 and T2 being repeatedly adjusted and updated. For example, the first time horizon T1 can be 12 hours and the second time horizon T2 24 hours. This corresponds to the procedure typical in the EU that the electrical energy consumption for the following day (0:00 to 24:00) must be determined by 12:00 noon on one day. Therefore, if (for example) the electrical energy consumption is determined for the 16th of the month by 12:00 noon on the 15th of the month, the determination for the 17th of the month will be made by 12:00 noon on the 16th of the month. However, for the second half of the 16th of the month, the supply of electrical energy is limited due to the measures taken on the 15th.of the month is already known.

[0128] A typical procedure for determining the second time profile E2 of the electrical energy consumption is explained below in conjunction with FIG. FIG. 4 thus represents an implementation of step S6 of FIG. 2.

[0129] According to FIG. 4, the control device 9 (provisionally) sets a second time profile E2 in a step S21. During the setting, the control device 9 assumes the expected final state B6' of the electrical energy storage device 6 and the planned second operating modes BT, B4', etc., of the other subsystems 1, 4, etc. for the second time horizon T2.

[0130] When setting the corresponding time course E2, the control device takes into account

[0131] 9 Secondary conditions that must be observed by the temporal progression E2. In particular, when step S21 is carried out, the operating modes B1', B4' etc. of the further subsystems 1, 4 etc. are already known, so that the temporal progression of the electrical energy demand of the further subsystems 1, 4 etc. is known. Furthermore, the operating limits of the electrical energy storage device 6 are known, i.e. the maximum possible or permissible charging current, the maximum possible or permissible discharging current, the minimum possible or permissible state of charge and the minimum possible or permissible state of charge. A further possible secondary condition can be that the state of charge of the electrical energy storage device 6 at the end of the second time horizon T2 should have a predetermined value or at least lie within a predetermined range of values.Therefore, while the approach of step S21 is not clearly defined, it cannot be completely arbitrary either. Rather, the respective approach is chosen such that the assumed second temporal profile E2 of the electrical energy consumption satisfies the constraints NB.

[0132] In a step S22, the control device 9 determines the values ​​of a plurality of cost functions K1, K2 for the second time profile E2 set in step S21. At a minimum, the control device 9 therefore determines the values ​​of two cost functions K1, K2. However, if necessary, the values ​​of more than two cost functions can also be determined. Regardless of the number of cost functions K1, K2, the cost functions K1, K2 depend on the second time profile E2 of the electrical energy consumption. However, the dependencies of the cost functions K1, K2 on the second time profile E2 of the electrical energy consumption vary from cost function to cost function.

[0133] In a step S23, the control device 9 performs a Pareto optimization of the set second time course E2 with respect to the cost functions K1, K2.

[0134] In a step S24, the control device 9 checks whether the set second time profile E2 of the electrical energy consumption is Pareto-optimal. If this is not the case, the control device 9 proceeds to a step S25, in which it varies the set second time profile E2 in accordance with a Pareto optimization. When varying the set second time profile E2, the control device 9 also takes into account the constraints NB mentioned in connection with step S21. From step S25, the control device 9 returns to step S22.

[0135] If, however, the set second time profile E2 of the electrical energy consumption is Pareto-optimal, the control device 9 proceeds to a step S26 in which it stores the set second time profile E2 as a possible second time profile E2.

[0136] From step S26, the control device 9 proceeds to step S27. In step S27, the control device 9 checks whether it has already executed steps S21 to S26 for all second temporal profiles E2 to be set. If this is not the case, the control device 9 returns to step S21. However, upon re-execution of step S21, the control device 9 sets a new, different second temporal profile E2. Accordingly, upon re-execution of step S26, the newly discovered Pareto-optimal possible second temporal profile E2 is stored in addition to the already discovered possible second temporal profiles E2.

[0137] If the control device 9 has already executed steps S21 to S26 for all second temporal profiles E2 to be applied, the control device 9 proceeds from step S27 to step S28. In step S28, one of the found possible second temporal profiles E2 is selected or defined as the defined second temporal profile E2 of the electrical energy consumption for the second time horizon T2.

[0138] In the following, in conjunction with FIG. 5, an embodiment of the procedure of FIG. 4 is explained, by means of which the determination of the Pareto-optimal possible second temporal profiles E2 of the electrical energy consumption can be carried out in a particularly simple manner.

[0139] FIG. 5 comprises steps S31 to S41. The steps S31, S32, S38, S39, S40 and S41 of FIG. 5 correspond 1:1 to the steps S21, S22, S24, S26, S27 and S28 of FIG. 4. These steps are therefore only briefly mentioned but not explained in more detail.

[0140] According to FIG. 5, the control device 9 (provisionally) sets a second time profile E2 in step S31. In step S32, the control device 9 determines the values ​​of the cost functions K1, K2 for the second time profile E2 set in step S31.

[0141] In step S33, the control device 9 determines the G1, G2 of the cost functions K1, K2 for the second time horizon T2. ​​The determination of the gradients G1, G2 is straightforward.

[0142] In step S34, the control device 9 decides whether the second temporal profile E2 calculated in step S31 is Pareto-optimizable or not. The control device 9 makes the decision based on the totality of the gradients G1, G2.

[0143] It is possible that the second time profile E2 established in step S31 is already Pareto-optimal, meaning that no further optimization can or needs to be performed. In this case, the control device 9 proceeds directly to step S39. Step S39 will be discussed later.

[0144] If a Pareto optimization is possible, the control device 9 determines a descent direction G in step S35 by using the gradients G1, G2 of the cost functions K1, K2. In the case of exactly two cost functions K1, K2, the control device 9 can, for example, determine the angle bisector of the gradients G1, G2 as the descent direction G.

[0145] In step S36, the control device 9 varies the set second temporal profile E2 using the descent direction G. In particular, the control device 9 can vary the set second temporal profile E2 in the direction determined by the descent direction G. For example, the control device 9 can multiply the descent direction G by a factor k and add it to the previous second temporal profile E2.

[0146] In step S37, the control device 9 again determines the values ​​of the cost functions K1, K2 and the gradients G1, G2 of the cost functions K1, K2. In step S38, the control device 9 checks whether the (varied) second temporal profile E2 determined in step S36 is Pareto-optimal or not. The control device 9 makes the decision based on the totality of the gradients G1, G2 determined in step S37.

[0147] If the second temporal profile E2 determined (varied) in step S36 is not yet Pareto-optimal, the control device 9 returns to step S35. Otherwise, the now second temporal profile E2 is Pareto-optimal and can therefore be adopted by the control device 9 in step S39 as a possible second temporal profile E2.

[0148] In step S40, the control device 9 checks whether it has already performed steps S31 to S39 for all second time profiles E2 to be applied. Depending on whether this is the case, the control device 9 returns to step S31 or proceeds to step S41. In step S41, one of the possible second time profiles E2 found is selected or defined as the defined second time profile E2 for the electrical energy consumption for the second time horizon T2.

[0149] The procedure of FIG. 5 was explained above in connection with a sequential determination of the possible second temporal profiles E2. Instead of a sequential determination, a parallel determination is also possible, provided the control device 9 is configured accordingly.

[0150] The planned first operating modes B1, B4, etc. are operating modes with which the corresponding further subsystems 1, 4, etc. are operated during the first time horizon T1, if possible. In practice, however, not all circumstances can be fully taken into account when determining the planned first operating modes B1, B4, etc. Certain circumstances are always left out. For example, in the case of a rolling mill as plant 1 in the metal industry, a rolled product may be somewhat warmer or somewhat colder than planned, so that rolling forces, rolling moments and the associated demand for electrical energy vary. The control device 9 therefore also checks during the first time horizon T1 according to FIG 6 in a step S51 whether the actual operation of the further subsystems 1, 4, etc.The operating limits of the electrical energy storage device 6 (for example, maximum currents or a minimum or maximum charge state) are currently adhered to and for the remaining part of the first time horizon T1. In other words: The planning was carried out in such a way that the operating limits of the electrical energy storage device 6 are adhered to. However, due to the factors not taken into account, the electrical energy storage device 6 is now operated differently than assumed. Therefore, it is now possible that, despite the planning and, for example, despite the consideration of certain reserves during the planning, the operating limits of the electrical energy storage device 6 are no longer adhered to.

[0151] If the check in step S51 reveals that the operating limits are being adhered to, the control device 9 takes no further action with regard to the planned first time profile E1 of the electrical energy consumption. In particular, it maintains the planned first time profile E1 unchanged. If, however, the check in step S51 reveals that the operating limits are not being adhered to, the control device 9 modifies the planned first operating modes B1, B4, etc. in a step S52 - of course only for the future, in this case the remaining part of the first time horizon T1. For example, a rolling speed can be adjusted or hydrogen production can be adjusted.Alternatively or additionally, in a step S53, the control device 9 modifies the planned first profile E1 of the electrical energy consumption, naturally only for the future, i.e., the remaining part of the first time horizon T1. For example, the control device 9 can directly purchase or return a certain amount of electrical energy at an energy exchange 14 (see FIG. 11) for at least a portion of the remaining part of the first time horizon T1. In both steps S52 and S53, the measures taken are aimed at ensuring that the operating limits of the electrical energy storage device 6 are adhered to.

[0152] FIG. 6 thus represents a possible embodiment of step S9 of FIG. 2. The procedure of FIG. 6 is always feasible. However, a preferred embodiment is that explained below in conjunction with FIG. 7.

[0153] According to FIG. 7, during the first time horizon T1, the control device 9 checks in a step S61 whether an operating mode of the further subsystems 1, 4, etc., deviating from the planned first operating modes B1, B4, etc., is required. Step S61 essentially corresponds to step S51 of FIG. 6.

[0154] If the check shows that no different operating mode is required, the other subsystems 1, 4, etc., are controlled in step S62 according to the planned first operating modes B1, B4, etc. The electrical energy storage device 6 is also controlled according to the previous determination (B6). This results in the electrical energy consumption from the supply network 2 during the first time horizon T1 according to the specified first time profile E1 of the electrical energy consumption.

[0155] If, however, the test reveals that a different operating mode is necessary, the control device 9 operates the additional subsystems 1, 4, etc., in a step S63 according to the different operating modes. Furthermore, the control device 9 determines in a step S64 to what extent the electrical energy demand of the additional subsystems 1, 4, etc. changes as a result of this—i.e., the changed operation of the additional subsystems 1, 4, etc. The original, not yet changed demand is the demand that was used as the basis for planning and determining the first temporal profile E1 of the electrical energy consumption.

[0156] In exceptional cases, it may be possible for the electrical energy demand to remain unchanged despite the changed operation of the other subsystems 1, 4, etc. In this case, the operation of the electrical energy storage device 6 can, of course, also be maintained unchanged. However, corresponding changes generally occur. Therefore, in step S65, the control device 9 checks whether the specified first temporal profile E1 of the electrical energy consumption can be maintained if the operation of the electrical energy storage device 6 is adjusted accordingly.

[0157] If this is not the case, the control device 9 changes the electrical energy consumption from the supply network 2 in a step S66. This can be done, as needed, with or without adjusting the operation of the electrical energy storage device 6. The adjustment of the electrical energy consumption is carried out with the aim of enabling the different operating mode of the other subsystems 1, 4, etc.

[0158] If the specified first temporal profile E1 of the electrical energy consumption can be maintained, the control device 9 decides in a step S67 whether and, if so, to what extent it will change the electrical energy consumption from the supply network 2. If the control device 9 changes the electrical energy consumption, it continues to operate the electrical energy store 6 unchanged in a step S68, i.e. as was specified when determining the corresponding operating mode in step S3 (see FIG. 2). Otherwise, the control device 9 adapts the operating mode B6 of the electrical energy store 6 accordingly in a step S69, so that the previously specified first temporal profile E1 of the electrical energy consumption can be maintained.

[0159] Various factors can be considered in the decision-making process of step S67. The most important factors are the nature and extent of the change in the electrical energy demand of the other subsystems 1, 4, etc., the current state of charge of the electrical energy storage device 6, the progress in the first time horizon T1, and estimated prices for the purchase of electrical energy during the remaining part of the first time horizon T1 and, if applicable, also the second time horizon T2. ​​It is also possible to submit the problem to operator 12 for a decision and receive the corresponding decision from operator 12.

[0160] Procedures completely analogous to FIGS. 6 and 7 are also possible for the second time horizon T2, i.e. for an embodiment of step S11 of FIG. 2. The only difference is that if the procedure of FIG. 7 is carried out for the second time horizon T2, only the remaining part of the second time horizon T2 can be taken into account in step S67.

[0161] The cost functions K1, K2 can be determined as needed. In many cases, the cost functions K1, K2 include a first cost function K1, the value of which, as shown in FIGS. 8 and 9, depends on the costs of operating the electrical energy storage device 6 during the second time horizon T2. ​​These costs can include, for example, the operating costs KV due to wear and tear, the operating costs KA due to acquisition, or the costs KW for any required maintenance.

[0162] As a rule, it is useful if the first cost function K1, as shown in FIG 8, also depends on costs KE for the purchase of electrical energy from the supply grid 2. Depending on the individual case, however, it may be useful if the first cost function K1, as shown in FIG 9, depends exclusively on the costs KA, KV, KW of operating the electrical energy storage device 6 as such, i.e., without also taking into account the costs KE for the purchase of electrical energy from the supply grid 2.

[0163] In many cases, the cost functions K1, K2, as shown in FIGS. 8 and 9, further comprise a second cost function K2, the value of which depends on the temporal progression of a state of charge ZL of the electrical energy storage device 6 during the second time horizon T2. ​​In particular, the temporal progression of the state of charge ZL can be related to an upper limit and / or a lower limit for the state of charge ZL. The upper limit and / or the lower limit can be fixed or time-dependent as required. Thus, the result can be evaluated as to which - possibly time-dependent - reserve the electrical energy storage device 6 makes available upwards or downwards (i.e., for the additional absorption of electrical energy or for the release of electrical energy). The dependency of the second cost function K2 can, for example, take into account the planned second operating modes BT, B4' etc. of the further subsystems 1, 4, etc.and / or taking into account the costs of electrical energy expected for certain periods of the second time horizon T2.

[0164] As explained above in connection with FIG. 2, the method as a whole is generally executed iteratively and repeatedly. It is possible for the cost functions K1, K2 to remain unchanged from iteration to iteration. However, preferably, at least one of the cost functions K1, K2 is determined individually from iteration to iteration.

[0165] As explained above in connection with FIGS. 4 and 5, the control device 9 generally determines several possible second temporal profiles E2, one of which is subsequently selected and thus defined as the second temporal profile E2 to be used. This definition can be implemented in various ways.

[0166] In the simplest case, the control device 9 sends an output to the operator 12 (see FIG. 1) and receives the selection from the operator 12. In this case, the control device 9 offers the operator 12 a series of options from which the operator 12 selects one.

[0167] Alternatively, it is possible for the control device 9 to automatically select some or all of the previously determined possible second temporal profiles E2, or to receive a selection of several of the possible second temporal profiles E2 from the operator 12 and then independently decide which of the selected second temporal profiles E2 is to be defined as the second temporal profile E2 to be used. A possible embodiment for this is explained below in conjunction with FIG. 10.

[0168] Within the scope of the procedure of FIG 10, it is assumed that the control device 9 is connected to an energy exchange 14 via the Internet 13, as shown in FIG 11. In this case, the control device 9 can, in a step S71, as shown in FIG 10, determine a number of requests Ai (with i = 1, 2, 3, etc.) for the purchase of electrical energy from the supply grid 2 for a number of sections of the second time horizon T2 (for example, with a length of the second time period T2 of 24 hours, for 24 sections of one hour each). The requests Ai each comprise a desired quantity Mi of electrical energy and respective conditions Ci, for example a desired maximum price. When determining the requests Ai, the control device 9 takes into account the possible second time profiles E2 for the purchase of electrical energy from the supply grid 2.As a rule, the requirements Ai are staggered, i.e. they differ at least in the respective assigned bid price. The respectively requested quantities Mi of electrical energy are also generally different from one another, but can also be the same in individual cases. In a step S72, the control device 9 submits the requirements Ai it has determined to the energy exchange 14. In a step S73, the control device 9 receives responses Ri for the requirements Ai. The responses Ri each contain the information as to whether or not the energy exchange 14 has promised to purchase the requested quantity Mi of electrical energy for the corresponding requirement Ai subject to fulfillment of the respectively assigned conditions Ci.

[0169] In a step S74, the control device 9 then accepts those requests Ai for which the purchase of the requested quantities Mi of electrical energy is promised by the energy exchange 14, subject to the fulfillment of the respectively assigned conditions Ci. Finally, in a step S75, the control device 9 makes the decision, based on the requirements of step S74, as to which of the possible second temporal profiles E2 is to be defined as the second temporal profile E2 to be used.

[0170] In the simplest case, the electrical energy storage device 6 comprises only a single, uniform storage device. However, the electrical energy storage device 6 can also comprise several partial storage devices 6a, 6b, as shown in FIG. 1. For the partial storage devices 6a, 6b, it is possible to independently adjust whether and to what extent electrical energy is supplied to the further partial storage device 6a, 6b, or whether and to what extent the respective partial storage device 6a, 6b releases electrical energy. For this purpose, a separate bidirectionally operable converter unit is generally provided for each partial storage device 6a, 6b. These converter units are not shown.

[0171] If the electrical energy storage device 6 is divided into several partial storage devices 6a, 6b, the partial storage devices 6a, 6b preferably differ from one another in their possible performance limits, for example in their capacity and their maximum possible or permissible charging and discharging currents (or corresponding power levels). For example, the partial storage device 6a can have a significantly smaller storage capacity but a considerably greater maximum charging and discharging power than the partial storage device 6b. By way of example, the values ​​10 MWh and 100 MW are mentioned for the partial storage device 6a, and the values ​​100 MWh and 25 MW are mentioned for the partial storage device 6b. The partial storage device 6a can be designed, for example, as a sodium-ion battery, and the partial storage device 6b, for example, as a redox flow battery or as a sodium-sulfur battery.

[0172] The joint operation of several partial memories 6a, 6b is known to those skilled in the art. It will therefore not be explained in detail.

[0173] The present invention offers many advantages. Due to the prior determination and subsequent implementation of the second curve E2 for the purchase of electrical energy from the supply grid 2, the costs for electrical energy can be reliably planned. In particular, participation in the internet exchange 14 can even minimize the costs for electrical energy. The integration of, for example, longer-term supply contracts or a dedicated power generation facility 8 is also readily possible.

[0174] Although the invention has been illustrated and described in detail by the preferred embodiments, the invention is not limited by the disclosed examples and other variations may be derived therefrom by those skilled in the art without departing from the scope of the invention.

[0175] List of reference symbols

[0176] Attachment

[0177] 2 Supply network

[0178] 3 inverters

[0179] 4 Electrolysis plant

[0180] 5 rectifiers

[0181] 6 energy storage

[0182] 6a, 6b partial storage

[0183] 7 hydrogen storage

[0184] 8 Power generation facility

[0185] 9 Control device

[0186] 10 Control program

[0187] 11 Machine code

[0188] 12 operators

[0189] 13 Internet

[0190] 14 Energy Exchange

[0191] AI requirements

[0192] B1, B4, B6, B7, B8 first operating modes

[0193] BT, B4', B6', B7', B8' second operating modes

[0194] Ci Conditions

[0195] E1 , E2 temporal courses

[0196] G Descent direction

[0197] G1 , G2 gradient k factor

[0198] K1 , K2 cost functions

[0199] KA, KE, KV, KW costs

[0200] Mi amounts of electrical energy

[0201] NB Side conditions

[0202] Ri Answers

[0203] S1 to S75 steps

[0204] T1 , T2 time horizons tO, t1 , t2 time points

[0205] Z, Z1, Z4, Z6, Z7, Z8 initial states

[0206] Z', ZT, Z4', Z6', Z7', Z8' final states

[0207] ZL charge level

Claims

Claims 1. Operating procedures for an entire system, - wherein the overall system comprises, as a subsystem, an electrical energy storage device (6) and further subsystems (1, 4, 7, 8), - wherein the further subsystems (1, 4, 7, 8) comprise a plant (1) of the metal industry, - wherein the metal industry plant (1) and the electrical energy storage device (6) for transmitting electrical energy are directly or indirectly connected to each other and to an electrical supply network (2), - wherein, before the beginning of a first time horizon (T1), a control device (9) controlling the entire system knows initial states (Z1, Z4, Z6, Z7, Z8) of the subsystems (1, 4, 6, 7, 8) which are to be expected for the subsystems (1, 4, 6, 7, 8) at the beginning of the first time horizon (T1), - wherein the control device (9) knows, before the beginning of the first time horizon (T1), a planned first time profile (E1) of a consumption of electrical energy from the supply network (2) and planned first operating modes (B1, B4, B7, B8) of the further subsystems (1, 4, 7, 8) for the first time horizon (T1), - wherein the control device (9) determines an expected final state (Z6') of the electrical energy storage device (6) for the end of the first time horizon (T1) based on the initial state (Z6) of the electrical energy storage device (6), the planned first time profile (E1) of the electrical energy consumption and the planned first operating modes (B1, B4, B7, B8) of the further subsystems (1, 4, 7, 8), - wherein the control device (9), based on the expected final state (Z6') of the electrical energy storage device (6) and the control device (9) known second operating modes (BT, B4', B7', B8') of the further subsystems (1, 4, 7, 8) for the second time horizon (T2) planned for a second time horizon (T1) immediately following the first time horizon (T1), determines possible second temporal profiles (E2) of the electrical energy consumption for the second time horizon (T2), - wherein the control device (9) determines the possible second temporal profiles (E2) of the electrical energy consumption in such a way that they are each Pareto-optimal with respect to a plurality of respective cost functions (K1, K2) dependent on the respective second temporal profile (E2) of the electrical energy consumption, - whereby the dependencies of the cost functions (K1, K2) on the respective second temporal course (E2) of the purchase of electrical energy differ from cost function (K1, K2) to cost function (K1, K2), - wherein the control device (9) defines one of the determined possible second temporal profiles (E2) of the electrical energy consumption for the second time horizon (T2) as the second temporal profile (E2) of the electrical energy consumption, - wherein the control device (9) determines the second time profile (E2) of the electrical energy consumption before the beginning of the first time horizon (T1), - wherein the control device (9), as far as possible, operates the further subsystems (1, 4, 7, 8) during the first and second time horizons (T1, T2) based on the planned first and second operating modes (B1, B4, B7, B8, BT, B4', B7', B8') and operates the electrical energy store (6) in such a way that the electrical energy drawn from the supply network (2) during the first and second time horizons (T1, T2) results in accordance with the planned first and the defined second time profile (E1, E2) of the electrical energy drawn.

2. Operating method according to claim 1, characterized in that the cost functions (K1, K2) comprise a first cost function (K1) whose value depends on costs of operating the electrical energy storage device (6) during the second time horizon (T2) without taking into account costs (KE) for the purchase of electrical energy.

3. Operating method according to claim 2, characterized in that the control device (9) for determining the second time profile (E2) of the electrical energy consumption - submits a number of requests (Ai) for the purchase of respective quantities (Mi) of electrical energy via the Internet (13) to an energy exchange (14) for a number of sections of the second time horizon (T2), wherein respective conditions (Ci) are assigned to the requests (Ai), - checks whether and, if so, for which of the requirements (Ai) the requested supply of electrical energy is promised by the energy exchange (14) in compliance with the respective associated conditions (Ci), and - then determines the second time profile (E2) of the purchase of electrical energy taking into account those requirements (Ai) for which the desired purchase of electrical energy is promised by the energy exchange (14) subject to compliance with the respectively assigned conditions (Ci).

4. Operating method according to claim 1, characterized in that the cost functions (K1, K2) comprise a first cost function (K1) whose value depends on costs of operating the electrical energy storage device (6) during the second time horizon (T2) and costs (KE) for the purchase of electrical energy.

5. Operating method according to one of the above claims, characterized in that the cost functions (K1, K2) comprise a second cost function (K2) whose value depends on temporal course of a state of charge (ZL) of the electrical energy storage device (6) during the second time horizon (T2).

6. Operating method according to one of the above claims, characterized in that the possible second temporal profiles (E2) of the electrical energy consumption satisfy uniform secondary conditions (NB).

7. Operating method according to one of the above claims, characterized in that the control device (9) for determining a respective possible second time profile (E2) of the electrical energy consumption - for the second time horizon (T2) a second temporal profile (E2) of the electrical energy consumption is set and values ​​of the cost functions (K1, K2) and gradients (G1, G2) of the cost functions (K1, K2) are determined for the set second temporal profile (E2), - based on the totality of the gradients (G1 , G2) decides whether the assigned second temporal course (E2) is Pareto-optimizable or not, - in the event that the assigned second time course (E2) is not Pareto-optimizable, adopts the assigned second time course (E2) as a possible second time course (E2) and - in the event that the assigned second temporal course (E2) is Pareto-optimizable, a direction of descent (G) is determined using the gradients (G1, G2) of the cost functions (K1, K2), the assigned second temporal course (E2) is varied using the direction of descent (G), the assigned second temporal course (E2) is determined using the direction of descent (G), the assigned second temporal course (E2) is determined using the gradients (G1, G2) of the cost functions (K1, K2) and the variation are repeated until the assigned second temporal course (E2) is Pareto-optimal, and the assigned second temporal course (E2) is then adopted as a possible second temporal course (E2).

8. Operating method according to one of the above claims, characterized in that the control device (9) during the second time horizon (T2) - checks whether an operating mode of the other subsystems (1, 4, 7, 8) that differs from the planned second operating modes (BT, B4', B7', B8') is necessary, - in the event that no different operating mode is required, operates the further subsystems (1, 4, 7, 8) in accordance with the planned second operating modes (BT, B4', B7', B8') and operates the electrical energy storage device (6) in such a way that the supply of electrical energy from the supply network (2) during the second time horizon (T2) results in accordance with the specified second time profile (E2) of the supply of electrical energy, - in the event that a different operating mode is required, operates the other subsystems (1, 4, 7, 8) according to the different operating modes and determines in which environment This changes the electrical energy requirements of the other subsystems (1, 4, 7, 8) underlying the determination of the second time profile (E2) of the electrical energy consumption, - checks whether the specified second time profile (E2) of the electrical energy consumption can be maintained by adjusting the operation of the electrical energy storage device (6), - in the event that the specified second time profile (E2) of the electrical energy consumption cannot be maintained, the electrical energy consumption is changed with or without adjusting the operation of the electrical energy storage device (6) in order to enable the different operating mode of the other subsystems (1, 4, 7, 8), and - in the event that the specified second time profile (E2) of the electrical energy consumption can be maintained, decides whether and, if so, to what extent it changes the electrical energy consumption and operates the electrical energy storage device (6) accordingly.

9. Operating method according to claim 8, characterized in that the control device (9) makes its decision based on the type and extent of the change in the demand for electrical energy of the further subsystems (1, 4, 7, 8), a current state of charge (ZL) of the electrical energy storage device (6), a progress in the second time horizon (T2) and / or estimated prices for the purchase of electrical energy during the remaining part of the second time horizon (T2).

10. Operating method according to one of the above claims, characterized in that - that it is executed iteratively again and again, - that the second time horizon (T2) of a respective iteration is at least partially part of the first time horizon (T1) of the subsequent iteration and - that at least one of the cost functions (K1, K2) is determined individually from iteration to iteration.

11. Control program for a control device (9) for an overall system, - wherein the overall system comprises, as a subsystem, an electrical energy storage device (6) and further subsystems (1, 4, 7, 8), - wherein the further subsystems (1, 4, 7, 8) comprise a plant (1) of the metal industry, - wherein the metal industry plant (1) and the electrical energy storage device (6) for transmitting electrical energy are directly or indirectly connected to each other and to an electrical supply network (2), - wherein the control program (9) comprises machine code (11) which can be processed by the control device (9), wherein the processing of the machine code (11) by the control device (9) causes the control device (9) to control the overall system according to an operating method according to one of the above claims.

12. Control device for an entire system, - wherein the overall system comprises, as a subsystem, an electrical energy storage device (6) and further subsystems (1, 4, 7, 8), - wherein the further subsystems (1, 4, 7, 8) comprise a plant (1) of the metal industry, - wherein the metal industry plant (1) and the electrical energy storage device (6) for transmitting electrical energy are directly or indirectly connected to each other and to an electrical supply network (2), - wherein the control device is programmed with a control program (10) according to claim 11, so that when the machine code (11) of the control program (10) is processed, the control device controls the entire system according to an operating method according to one of claims 1 to 10.

13. Overall system, - wherein the overall system comprises, as a subsystem, an electrical energy storage device (6) and further subsystems (1, 4, 7, 8), - wherein the further subsystems (1, 4, 7, 8) comprise a plant (1) of the metal industry, - wherein the metal industry plant (1) and the electrical energy storage device (6) for transmitting electrical energy are directly or indirectly connected to each other and to an electrical supply network (2), - wherein the overall system comprises a control device (9) according to claim 12, which, when the machine code (11) of a control program (10) of claim 11 is executed, controls the overall system according to an operating method according to one of claims 1 to 10.

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