Load control evaluation method of power system and related device

Abstract

The invention discloses a load control evaluation method of a power system and a related device. The method comprises the following steps: acquiring a plurality of load control evaluation indexes of the power system; obtaining an evaluation score based on the plurality of load control evaluation indexes; and evaluating the load control evaluation capability of the power system based on the evaluation score. By counting at least one of the system file acceptance rate, the terminal online rate, the branch load acquisition integrity rate, the branch load acquisition timeliness rate, the action success rate and the load response capacity qualification rate, multi-dimensional counting is realized, and the reliability and effectiveness of each user load control device can be known in real time; it is ensured that a response power supply department can remotely carry out load control on user equipment during peak load regulation control in a power utilization peak period or in an emergency state, the power grid risk is reduced, a large amount of manual field operation is reduced, meanwhile, a large amount of time is saved, the load control response speed of a power system is increased, and the power grid risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of load control evaluation of electric power systems, and in particular to a load control evaluation method and related devices for electric power systems. Background Art

[0002] The load control device of the power system can remotely monitor the power consumption of users in real time, control the overload operation of users, and limit the load operation of users who use electricity at off-peak times, etc., which can not only ensure the stable operation of the distribution network, but also achieve the development requirements of relatively balanced power consumption in the distribution network during peak, valley and normal periods. Load control is the most widely used form of application and has been widely implemented among industrial and commercial users in most regions. Large users or load integrators sign interruptible load contracts with power companies. During peak power consumption periods or emergency situations, users complete load reductions of a given period and capacity according to the response instructions pre-issued by the relevant power supply stations in the power system based on their own power supply status, and perform corresponding load interruption control to respond to the peak load control of the power system during peak power consumption periods or emergency situations.

[0003] In the past, during peak hours of electricity consumption or in emergency situations, the user load could only be controlled by the power supply personnel who arrived at the user's address and manually operated the switch to complete the load reduction for a specified period of time and capacity. This method requires a lot of manpower time and requires on-site verification one by one. Therefore, the existing technology cannot remotely reduce the operating load on the user side through the power load management terminal, and users cannot consciously cooperate with the peak-shaving control of the power system during peak hours of electricity consumption or in emergency situations, and cannot automatically evaluate the load control of the power system. Summary of the invention

[0004] The present invention aims to at least solve the technical problems existing in the prior art that users cannot consciously cooperate with the peak load control of the power system during peak power consumption periods or in emergency situations, and cannot automatically evaluate the load control of the power system.

[0005] To this end, an object of the present invention is to provide a load control evaluation method for an electric power system, the load control evaluation method for an electric power system comprising:

[0006] Obtain multiple load control evaluation indicators of the power system;

[0007] Obtaining an evaluation score based on the plurality of load control evaluation indicators;

[0008] Based on the evaluation score, evaluating the load control evaluation capability of the power system;

[0009] Among them, the load control evaluation index of the power system includes at least one of the system file acceptance rate, terminal online rate, branch load collection completeness rate, branch load collection timeliness rate, action success rate, and load response capacity qualification rate.

[0010] In some embodiments, the evaluation scores are obtained by weighted scoring of the plurality of load control evaluation indicators.

[0011] In some embodiments, based on the evaluation score, evaluating the load control evaluation capability of the power system includes:

[0012] Determining the size of the evaluation score and a preset score, and grading the load control evaluation capability of the power system;

[0013] If it is determined that the evaluation score is greater than a first preset score, the load control evaluation capability of the power system is evaluated as a first level;

[0014] If it is determined that the evaluation score is less than a second preset score, the load control evaluation capability of the power system is evaluated as a second level;

[0015] If it is determined that the evaluation score is between the first preset score and the second preset score, the load control evaluation capability of the power system is evaluated as the second level.

[0016] In some embodiments, the terminal online rate is determined based on real-time online data of a specific user's intelligent measurement terminal.

[0017] In some embodiments, the branch load collection completeness rate is determined based on the number of collection points of the branch load within a specified time.

[0018] In some embodiments, the branch load collection timeliness rate is determined based on the deviation between the time point when the branch load is collected and the time point when the master station receives the data.

[0019] In some embodiments, the load response capacity qualification rate is determined based on a ratio of an expected control capacity of the load device to a construction target capacity.

[0020] An object of the present invention is to provide a load control evaluation device for a power system, comprising:

[0021] An evaluation index acquisition module, used to acquire multiple load control evaluation indexes of the power system;

[0022] An evaluation score acquisition module, used to acquire an evaluation score based on a plurality of load control evaluation indicators;

[0023] An evaluation capability analysis module is used to evaluate the load control evaluation capability of the power system based on the evaluation score.

[0024] An object of the present invention is to provide a storage medium storing a computer program, wherein the computer program implements the steps of the above method when executed by a processor.

[0025] An object of the present invention is to provide an electronic device, comprising at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program on the memory.

[0026] The load control evaluation method and related device of a power system provided by the embodiment of the present invention have the following beneficial effects:

[0027] By collecting statistics on at least one of the system file acceptance rate, terminal online rate, branch load collection completeness rate, branch load collection timeliness rate, action success rate and load response capacity qualification rate, multi-dimensional statistics can be achieved, which can provide real-time information on the reliability and effectiveness of each user's load control device, ensuring that during peak power consumption periods or peak load control in emergency situations, the responding power supply department can remotely carry out load control on each user's equipment, reduce power grid risks, reduce a large amount of manpower on-site operations, save a lot of time, and improve the load control response speed of the power system, thereby reducing power grid risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0029] Figure 1 It is a schematic diagram of the steps of a load control evaluation method for a power system in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] Various aspects and features of the present invention are described herein with reference to the accompanying drawings.

[0031] It should be understood that various modifications may be made to the embodiments of the present application. Therefore, the above description should not be considered as limiting, but only as an example of the embodiments. Other modifications within the scope and spirit of the present invention will occur to those skilled in the art.

[0032] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, together with the general description of the invention given above and the detailed description of the embodiments given below, serve to explain the principles of the invention.

[0033] These and other characteristics of the invention will become apparent from the following description of a preferred form of embodiment given as a non-limiting example, with reference to the accompanying drawings.

[0034] It should also be understood that, although the invention has been described with reference to some specific examples, those skilled in the art will be able to realize many other equivalent forms of the invention that have the characteristics recited in the claims and are therefore within the scope of protection defined thereby.

[0035] The above and other aspects, features and advantages of the present invention will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings.

[0036] Specific embodiments of the present invention are described hereinafter with reference to the accompanying drawings; however, it should be understood that the embodiments claimed are merely examples of the present invention, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid obscuring the present invention with unnecessary or redundant details. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present invention in a variety of ways with substantially any suitable detailed structure.

[0037] Power load control is a modern technical management method for orderly power consumption. Each load control terminal controls the power equipment on a power supply line of the power system. Each load control terminal is equipped with a comparator and a trigger. The timer, trigger and comparator are used to control each load control terminal to perform interruption operations. The controller receives the interruption load information sent by the power supply station, calculates the interruption duration and response capacity of each load control terminal.

[0038] A first embodiment of the present invention provides a load control evaluation method for a power system, such as Figure 1 As shown, the load control evaluation method of the power system includes:

[0039] S1: Obtain multiple load control evaluation indicators of the power system.

[0040] Among them, the load control evaluation indicators of the power system include at least one of the system file acceptance rate, terminal online rate, branch load collection completeness rate, branch load collection timeliness rate, action success rate, and load response capacity qualification rate.

[0041] System archives refer to the power user archives of the marketing management system. Specific user information can be reflected in the power user archives, including: user number, user name, intelligent measurement terminal and load management branch. The system archives require that except for temporary users and some users involved in public infrastructure (such as water conservancy, etc.), all new users of special transformers that meet the requirements must be connected to the power system. The system archive acceptance rate reflects whether all users are connected, that is, if the system archive acceptance rate is 100%, it means that all users are connected. If the system archive acceptance rate is lower than 100%, it means that there are users who are not connected to the power system. For the list of users who are not connected, the management department needs to verify the situation and complete the rectification and connect them.

[0042] Specifically, the system profile acceptance rate is determined based on the number of users recorded in the power user profile of the marketing management system and the number of users actually connected to the power system.

[0043] For example, if there are 50 newly installed dedicated transformer users who meet the access requirements in a certain area within a certain period of time, and the system file data check finds that 49 users are actually connected, then the system file acceptance rate is 98%.

[0044] The terminal online rate is determined based on the real-time online data of the intelligent measurement terminal of a specific user. Specifically, the terminal online rate is obtained based on the user profile of the metering automation system, where the user profile information is derived from the marketing system profile, and mainly includes a series of information such as user number, user name, user address and electrical equipment. The main function of the metering automation system is to communicate with the equipment installed on site, monitor the online status of the equipment, collect and upload data for statistics, and issue instructions (such as restarting the equipment and issuing monitoring tasks). When calculating the terminal online rate, the real-time online data of the intelligent measurement terminal of a specific user is obtained based on the user profile of the metering automation system, and the terminal online rate is determined based on the ratio of the theoretical collection points to the actual collection points. The acceptance standard for the terminal online rate is not less than 95%.

[0045] For example, if the theoretical number of collection points of the intelligent measurement terminal is 96 per day and the actual number of collection points is 90, the terminal online rate is determined to be 94% based on the ratio of the theoretical number of collection points to the actual number of collection points, and the terminal online rate does not meet the acceptance criteria.

[0046] After determining that the terminal is online, the branch load collection completeness rate and the branch load collection timeliness rate can be further determined based on the determination that the terminal is online.

[0047] The branch load collection completeness rate is determined based on the number of collection points of the branch load within the specified time. Among them, the branch load collection completeness rate is the ratio of the actual number of collection points of the branch load to the theoretical number of collection points of the branch load, which reflects the completeness of the branch load collection, that is, the branch load collection completeness rate. The acceptance standard is that the total number of collection points in 7 days is greater than 95%. For example, in theory, the branch load collects data every 15 minutes and reports it, 96 data are collected every day, and a total of 672 time data points need to be collected in 7 days. In fact, the total number of collection points in 7 days may be less than 672. The branch load collection completeness rate is calculated by the ratio of the actual number of collection points to the theoretical number of collection points.

[0048] The branch load collection timeliness rate is determined based on the deviation between the branch load collection time point and the master station reception time point. The collection time point of each branch collection point is analyzed with the master station reception time point. If the deviation between the two is less than the preset deviation value, it is judged that the collection is timely and the data timeliness is good; if the deviation between the two is greater than the preset deviation value, it means that the collection is not timely and the data timeliness is poor, and it will affect the upload of the next branch load data collection time point. Each collection point is analyzed, and the ratio of the timely collection point to the actual collection point is the branch load collection timeliness rate.

[0049] Exemplarily, the branch load collects a data point every 15 minutes starting from the hour (such as 0:15, 0:30, 0:45, 1:00, etc.), and the data collected by the branch load needs to be uploaded to the main station. The time point of branch load collection must not be greater than 15 minutes from the time point when the main station receives the data (that is, the preset deviation value is 15 minutes. For example, the branch load collects data at 0:15, and the time when the main station receives the data is 0:18. The time difference between the two is 3 minutes, indicating that the data collection is received in time). Otherwise, the data timeliness is poor and affects the upload of data at the next branch load data time point.

[0050] The action success rate refers to the success rate of the on-site load control equipment's action response by issuing the switch-on and switch-off commands. The master station issues operation commands to the on-site equipment, and the equipment accurately completes the corresponding commands, such as switch tripping and switch closing. The action completion rate reaches 95% or more, indicating that the system action is reliable, accurate and qualified.

[0051] The qualified rate of load response capacity is determined based on the ratio of the expected control capacity of the load equipment and the construction target capacity. Specifically, the qualified rate of load response capacity is determined based on the data of the new load management system, load control equipment, and load change data before and after the switch is opened and closed. Each region has a new load system construction target, that is, the expected control capacity of the new load equipment. The qualified standard is that the ratio between the expected control capacity and the construction target capacity is not less than 100%. The expected control capacity is based on the cumulative sum of the maximum loads of user equipment collected by all branch loads in a certain period of time in the near future. For example, if the construction target of a certain area is 5 megawatts, there are 10 households connected to the new load system in this area, with a total of 10 sets of branch load control devices. The maximum load of users collected by the 10 sets of branch load devices is not less than 5 megawatts, which indicates that the load response capacity is qualified.

[0052] S2: Obtaining evaluation scores based on multiple load control evaluation indicators;

[0053] Specifically, multiple load control evaluation indicators are weighted to obtain evaluation scores, wherein the weighting coefficients can be adjusted by themselves, and the total of each weighting coefficient is 1.

[0054] Exemplarily, the load control evaluation indexes of the power system include the system file acceptance rate, the terminal online rate, the branch load collection complete rate, the branch load collection timely rate, the action success rate and the load response capacity qualified rate, each with a weight of 0.1, 0.1, 0.2, 0.2, 0.1 and 0.3, and each evaluation index is 100%, 95%, 80%, 90%, 80% and 75%. The evaluation score is calculated according to the following formula, specifically:

[0055] 0.1×1+0.1×0.95+0.2×0.8+0.2×0.9+0.1×0.8+0.3×0.75=0.74, so the evaluation score can be recorded as 74 points.

[0056] S3: Based on the evaluation score, evaluate the load control evaluation capability of the power system.

[0057] The specific evaluation methods include:

[0058] If it is judged that the evaluation score is greater than the first preset score, the load control evaluation capability of the power system is evaluated as the first level;

[0059] If it is determined that the evaluation score is less than the second preset score, the load control evaluation capability of the power system is evaluated as the second level;

[0060] If it is judged that the evaluation score is between the first preset score and the second preset score, the load control evaluation capability of the power system is evaluated as the second level.

[0061] Among them, the first preset score is greater than the second preset score, the first level is better than the second level, and the second level is better than the third level.

[0062] The level of the load control evaluation capability of the power system can be determined based on the difference in the evaluation score values, and the determination method is simple and effective.

[0063] Exemplarily, the first preset score is 95 points, the first level is excellent, the second preset score is 80 points, the second level is qualified, and the third level is unqualified. That is, the evaluation score of 95 points and above is excellent, the evaluation score between 80-95 points is qualified, and the evaluation score less than 80 points is unqualified.

[0064] A second embodiment of the present invention provides a load control evaluation device for a power system, comprising:

[0065] An evaluation index acquisition module, used to acquire multiple load control evaluation indexes of the power system;

[0066] An evaluation score acquisition module, used to acquire evaluation scores based on multiple load control evaluation indicators;

[0067] The evaluation capability analysis module is used to evaluate the load control evaluation capability of the power system based on the evaluation score.

[0068] Furthermore, the evaluation index acquisition module includes determining the evaluation scores to classify the load control evaluation capability of the power system.

[0069] Furthermore, the evaluation index acquisition module includes at least one of a system file acceptance rate acquisition unit, a terminal online rate acquisition unit, a branch load collection complete rate acquisition unit, a branch load collection timeliness rate acquisition unit, an action success rate acquisition unit and a load response capacity qualified rate acquisition unit.

[0070] A third embodiment of the present disclosure provides a storage medium storing a computer program. When the computer program is executed by a processor, the steps of implementing the above method include:

[0071] S11: obtaining multiple load control evaluation indicators of the power system;

[0072] S12: Obtaining an evaluation score based on multiple load control evaluation indicators;

[0073] S13: Based on the evaluation score, evaluate the load control evaluation capability of the power system;

[0074] Among them, the load control evaluation indicators of the power system include at least one of the system file acceptance rate, terminal online rate, branch load collection completeness rate, branch load collection timeliness rate, action success rate, and load response capacity qualification rate.

[0075] Of course, other steps of the control method can also be used to implement the above embodiment.

[0076] In this embodiment, by statistically analyzing at least one of the system file acceptance rate, terminal online rate, branch load collection completeness rate, branch load collection timeliness rate, action success rate and load response capacity qualification rate, multi-dimensional statistics are achieved, which can understand the reliability and effectiveness of each user's load control device in real time, and ensure that when peak load control occurs during peak power consumption periods or in emergency situations, the responding power supply department can remotely carry out load control on each user's equipment, reduce power grid risks, reduce a large amount of manpower on-site operations, save a lot of time, and improve the load control response speed of the power system, and reduce power grid risks.

[0077] A fourth embodiment of the present disclosure provides an electronic device, the electronic device including at least a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the above method when executing the computer program in the memory, specifically including:

[0078] S21: obtaining multiple load control evaluation indicators of the power system;

[0079] S22: Obtaining an evaluation score based on multiple load control evaluation indicators;

[0080] S23: Based on the evaluation score, evaluate the load control evaluation capability of the power system;

[0081] Among them, the load control evaluation indicators of the power system include at least one of the system file acceptance rate, terminal online rate, branch load collection completeness rate, branch load collection timeliness rate, action success rate, and load response capacity qualification rate.

[0082] Of course, other steps of the control method can also be used to implement the above embodiment.

[0083] In this embodiment, by statistically analyzing at least one of the system file acceptance rate, terminal online rate, branch load collection completeness rate, branch load collection timeliness rate, action success rate and load response capacity qualification rate, multi-dimensional statistics are achieved, which can understand the reliability and effectiveness of each user's load control device in real time, and ensure that when peak load control occurs during peak power consumption periods or in emergency situations, the responding power supply department can remotely carry out load control on each user's equipment, reduce power grid risks, reduce a large amount of manpower on-site operations, save a lot of time, and improve the load control response speed of the power system, and reduce power grid risks.

[0084] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0085] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0086] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0087] In the embodiments provided in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0088] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0089] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0090] If the integrated module is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned motor torque control method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0091] In addition, the features of the embodiments shown in the drawings of the present application or the various embodiments mentioned in this specification are not necessarily understood as independent embodiments. Instead, each feature described in one example of an embodiment can be combined with one or more other desired features from other embodiments to produce other embodiments not described in words or with reference to the drawings.

[0092] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A load control evaluation method for a power system, characterized in that: include: Obtain multiple load control evaluation indicators of the power system; Obtaining an evaluation score based on the plurality of load control evaluation indicators; Based on the evaluation score, evaluating the load control evaluation capability of the power system; Among them, the load control evaluation index of the power system includes at least one of the system file acceptance rate, terminal online rate, branch load collection completeness rate, branch load collection timeliness rate, action success rate, and load response capacity qualification rate.

2. The load control evaluation method for a power system according to claim 1, characterized in that: The evaluation score is obtained by weighting the multiple load control evaluation indicators.

3. The load control evaluation method for a power system according to claim 1, characterized in that: Based on the evaluation score, evaluating the load control evaluation capability of the power system includes: Determining the size of the evaluation score and a preset score, and grading the load control evaluation capability of the power system; If it is determined that the evaluation score is greater than a first preset score, the load control evaluation capability of the power system is evaluated as a first level; If it is determined that the evaluation score is less than a second preset score, the load control evaluation capability of the power system is evaluated as a second level; If it is determined that the evaluation score is between the first preset score and the second preset score, the load control evaluation capability of the power system is evaluated as the second level.

4. The load control evaluation method for a power system according to claim 1, characterized in that: The terminal online rate is determined based on real-time online data of a specific user's intelligent measurement terminal.

5. The load control evaluation method for a power system according to claim 1, characterized in that: The branch load collection completeness rate is determined based on the number of collection points of the branch load within a specified time.

6. The load control evaluation method for a power system according to claim 1, characterized in that: The branch load collection timeliness rate is determined based on the deviation between the time point of branch load collection and the time point of reception at the master station.

7. The load control evaluation method for a power system according to claim 1, characterized in that: The load response capacity qualification rate is determined based on the ratio of the expected control capacity of the load equipment to the construction target capacity.

8. A load control evaluation device for an electric power system, characterized in that: include: An evaluation index acquisition module, used to acquire multiple load control evaluation indexes of the power system; An evaluation score acquisition module, used to acquire an evaluation score based on a plurality of load control evaluation indicators; An evaluation capability analysis module is used to evaluate the load control evaluation capability of the power system based on the evaluation score.

9. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. An electronic device, comprising at least a memory and a processor, wherein a computer program is stored in the memory, wherein: The processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program on the memory.

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