A baseline calculation and dispatching method and terminal for power system

Abstract

The present invention discloses a baseline calculation and scheduling method and terminal for an electric power system, which obtains sampling point data of power collected regularly in station equipment; screens out sampling point data with characteristic indicators and calculates the baseline of each station; and distributes the baseline to each station according to a preset splitting method. The present invention uses the power collected regularly in the daily operation process of the station equipment as sampling point data, and after eliminating the characteristic data, calculates the virtual baseline of each station, and splits each baseline according to the preset splitting method and then redistributes it to each station, so as to be compatible with external needs while maintaining daily operation.

Description

Technical Field

[0001] The present invention relates to the field of intelligent computing, and in particular to a baseline computing and dispatching method and a terminal for an electric power system. Background Art

[0002] With the transformation of the global energy structure and the rapid development of renewable energy technology, the traditional centralized power system is gradually transforming into a distributed energy system. As an emerging power system operation mode, virtual power plants (VPPs) are increasingly playing an important role in this transformation. Virtual power plants integrate advanced control, communication and energy management technologies to aggregate distributed energy resources (DERs), such as solar photovoltaics, wind power, energy storage systems, controllable loads and microgrids, to form a unified, coordinated and dispatchable energy management system. This integration not only breaks through the limitations of physical space, but also breaks the boundaries of traditional energy production and consumption, and realizes a high degree of integration of energy flow and information flow.

[0003] In the power system, virtual power plants not only enhance the ability to participate in the power market by efficiently integrating distributed energy resources, but also improve the flexibility and stability of power grid operation through accurate load forecasting and dispatch optimization. Especially in the context of the gradual increase in the proportion of renewable energy, virtual power plants can effectively deal with the volatility of intermittent energy such as wind power and photovoltaics, provide auxiliary services and frequency and peak regulation capabilities for the power grid, and reduce dependence on traditional fossil energy power plants. At the same time, virtual power plants have also promoted the development of energy Internet and provided technical support for regional and even cross-border energy interconnection.

[0004] However, the effective operation of virtual power plants is inseparable from accurate baseline calculations. In the scheduling of virtual power plants, the baseline is an important reference for measuring the normal power generation or load level of each station equipment without scheduling intervention. Through the baseline, the system can calculate the contribution of each participating station in demand response or load regulation, and provide corresponding economic compensation for it. The setting of the baseline usually requires comprehensive consideration of historical load data, weather factors, holiday effects, etc. to ensure that the normal operation of each station is reflected. However, when facing different types of external demands, the baseline calculation method in the existing power system often finds it difficult to take into account the actual operation of each station and the precise matching of external demands, which makes the baseline calculation process complicated and difficult to meet the scheduling needs in different scenarios. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a baseline calculation and scheduling method and terminal for an electric power system, so as to solve the problem that the baseline generated by the electric power system cannot meet external demand.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0007] A baseline calculation and dispatching method for a power system, comprising the steps of:

[0008] S1. Obtain the sampling point data of the power collected regularly in the station equipment;

[0009] S2, filtering out the sampling point data with characteristic indicators and calculating the baseline of each station;

[0010] S3. Allocate the baseline to each station according to a preset splitting method.

[0011] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0012] A baseline calculation and dispatching terminal for an electric power system includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are performed:

[0013] S1. Obtain the sampling point data of the power collected regularly in the station equipment;

[0014] S2, filtering out the sampling point data with characteristic indicators and calculating the baseline of each station;

[0015] S3. Allocate the baseline to each station according to a preset splitting method.

[0016] The beneficial effects of the present invention are: providing a baseline calculation and scheduling method and terminal for an electric power system, using the power regularly collected during daily operation of the station equipment as sampling point data, and after eliminating the characteristic data, calculating the virtual baseline of each station, and splitting each baseline according to a preset splitting method and then redistributing it to each station, so as to be compatible with external demands while maintaining daily operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of a baseline calculation and scheduling method for a power system in an embodiment of the present invention;

[0018] Figure 2 A schematic diagram of a baseline calculation and dispatching terminal for a power system in an embodiment of the present invention;

[0019] Description of labels:

[0020] 1. A baseline calculation and dispatching terminal for a power system; 2. A memory; 3. A processor. DETAILED DESCRIPTION

[0021] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in combination with the implementation modes and the accompanying drawings.

[0022] Please refer to Figure 1 , a baseline calculation and dispatching method for a power system, comprising the steps of:

[0023] S1. Obtain the sampling point data of the power collected regularly in the station equipment;

[0024] S2, filtering out the sampling point data with characteristic indicators and calculating the baseline of each station;

[0025] S3. Allocate the baseline to each station according to a preset splitting method.

[0026] It is understandable that the above baseline refers to the virtual power plant baseline, which is used to measure and determine the basic reference value of load regulation or power generation contribution when implementing the virtual power plant management strategy. Simply put, it represents the user's normal electricity consumption level or the expected output level of the power generation facility without the intervention of the virtual power plant. The setting of the baseline is crucial to calculating the actual response of the virtual power plant participants (such as the load reduction or the increase in power generation) and the corresponding economic compensation.

[0027] Specifically at the operational level, baseline calculations usually take into account historical load data, weather conditions, holiday effects, special events and other factors to ensure that the baseline reflects a relatively normal energy use or production scenario. For example, in a demand response project, if the user's actual load is lower than the baseline load, the difference can be regarded as the load reduction contributed by the user through the virtual power plant, and economic incentives may be obtained accordingly.

[0028] From the above description, it can be seen that the beneficial effects of the present invention are: providing a baseline calculation and scheduling method and terminal for an electric power system, using the power regularly collected during daily operation in the station equipment as sampling point data, and after eliminating the characteristic data, calculating the virtual baseline of each station, and splitting each baseline according to a preset splitting method and then redistributing it to each station, so as to be compatible with external needs while maintaining daily operation.

[0029] In an embodiment of the present invention, the step S3 further includes a step S4:

[0030] If it is detected that the site baseline cannot be calculated, the external demand baseline will be split according to the site characteristics and allocated to each site.

[0031] From the above description, it can be seen that since data with large deviations will be removed during the sampling process, when a large amount of data is continuously filtered and removed, the baseline cannot be calculated. By introducing the splitting and allocation of the external demand baseline, when the baseline cannot be calculated, the system can use the external demand baseline instead, thereby ensuring that the power dispatching task can proceed smoothly and avoiding dispatching interruptions caused by baseline calculation failure.

[0032] In an embodiment of the present invention, the step S4 further comprises the steps of:

[0033] If it is detected that the sampling point data is missing, the sampling point data will be supplemented based on historical data.

[0034] From the above description, we can see that when sampling data is missing, the system can use historical data to supplement the missing sampling points to avoid the generation of baselines due to incomplete data, thereby ensuring the continuity and accuracy of scheduling. For example, if the baseline at 09:30:00 on August 18 cannot be calculated, the baseline point at 09:30:00 on August 17 / 16 / 15 can be selected for completion, because the operation of the station does not change much in other time periods except for special date types without the influence of other factors.

[0035] In an embodiment of the present invention, the sampling point data with characteristic indicators are data obtained by sampling when the site operates according to external customized rules.

[0036] From the above description, it can be seen that since the station needs to adjust its own power according to external demand or rules from time to time during operation, the adjusted power is not its actual operating data. Therefore, the sampling point data obtained when the station operates according to external demand cannot reflect the actual operating status, so it is screened out as a characteristic indicator. Specifically, the scheduling of the station baseline takes into account whether working days, non-working days and holidays are the types of invitation execution days (external demand). The baseline calculation is based on three types: working days, non-working days and holidays (working days only count working day baselines, and so on). However, the invitation execution days are also checked at the same time. That is, if the station receives and executes the demand invitation form every day, then the baseline indicator of this day is considered to be a characteristic indicator and is not included in the calculation data range.

[0037] In an embodiment of the present invention, the preset splitting method specifically includes the steps of:

[0038] Obtain the number of stations, evenly divide the external demand baseline according to the number of stations, and distribute it to each station; or obtain the installed capacity of the energy storage inverter of each station, split the external demand baseline in proportion based on the installed capacity, and distribute it to the corresponding station.

[0039] From the above description, it can be seen that by providing two baseline splitting methods (equally divided by the number of stations or split according to the installed capacity ratio of the energy storage inverter), the system can flexibly respond to the actual conditions of different stations, ensure that each station obtains a reasonable baseline allocation, and improve the execution effect of the scheduling task.

[0040] A baseline calculation and dispatching terminal for an electric power system comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the baseline calculation and dispatching method for the electric power system are completed.

[0041] From the above description, it can be seen that an execution carrier of a baseline calculation and scheduling method for an electric power system is provided. In the process of executing the above method, the power regularly collected during the daily operation of the station equipment is used as the sampling point data. After eliminating the characteristic data, the virtual baseline of each station is calculated, and the baselines are split according to the preset splitting method and then redistributed to each station, so as to be compatible with external needs while maintaining daily operation.

[0042] A baseline calculation and scheduling method and terminal for an electric power system are mainly used for baseline calculation and scheduling of a virtual power grid, which will be specifically described below in conjunction with an embodiment.

[0043] Please refer to Figure 1 , Embodiment 1 of the present invention is:

[0044] A baseline calculation and dispatching method for a power system, comprising the steps of:

[0045] S1. Obtain the sampling point data of the power collected regularly in the station equipment;

[0046] S2. Filter out the sampling point data with characteristic indicators and calculate the baseline of each station; the sampling point data with characteristic indicators are the data obtained by sampling when the station operates according to external customized rules;

[0047] S3. Allocate the baseline to each site according to the preset splitting method.

[0048] That is, in this embodiment, the power collected regularly during the daily operation of the station equipment is used as the sampling point data, and after eliminating the characteristic data, the virtual baseline of each station is calculated, and the baselines are split and redistributed to each station according to the preset splitting method, so as to maintain daily operation while being compatible with external needs.

[0049] Please refer to Figure 1 , Embodiment 2 of the present invention is:

[0050] Based on Example 1, the preset splitting method specifically includes the steps of: obtaining the number of stations, equally dividing the external demand baseline according to the number of stations, and allocating it to each station; or, obtaining the installed capacity of the energy storage inverter of each station, splitting the external demand baseline in proportion based on the installed capacity, and allocating it to the corresponding stations.

[0051] For example, the external demand baseline point is one point every 15 minutes, for example: [35, 23, 35, 23, 35, 23], so there are 5 points, but these 5 points are for the entire power system.

[0052] Assume that there are three stations [A, B, C] under the power system.

[0053] Method 1: Connect the total power of all stations that have signed contracts to participate in the dispatch of the power system at the time point. After the number is evenly divided, the power sent to each station at the corresponding time is [(35 / 3), (23 / 3), (35 / 3), (23 / 3), (35 / 3), (23 / 3)]

[0054] Method 2: The capacity scheduling upper limit of the station depends on the capacity (installed capacity) of the PCS. For example, the installed capacities of the PCSs of the three stations are:

[0055] A: 100; B: 200; C: 200;

[0056] Split the external demand baseline proportionally according to installed capacity

[0057] A is 35*0.2, 23*0.2...

[0058] B is 35*0.4, 23*0.4...

[0059] C is 35*0.4, 23*0.4...

[0060] Preferably, the scheduling of the baseline calculation is based on the dolphin scheduler. If the scheduling task fails to execute, it will be retried. If it fails after three retries, an alarm will be triggered. When the operator receives the alarm, he will intervene and investigate to ensure that each point of the baseline can be successfully generated.

[0061] Please refer to Figure 1 , Embodiment 3 of the present invention is:

[0062] Based on the first embodiment, step S3 further includes step S4:

[0063] If it is detected that the baseline cannot be calculated, it will be split according to the external demand baseline and allocated to each station. Since data with large deviations will be removed during the sampling process, when a large amount of data is continuously filtered and removed, the baseline cannot be calculated. By introducing the splitting and allocation of the external demand baseline, when the baseline cannot be calculated, the system can use the external demand baseline instead, thereby ensuring that the power dispatch task can proceed smoothly and avoiding dispatch interruptions caused by baseline calculation failures.

[0064] If it is detected that the sampling point data is missing, the sampling point data will be supplemented according to the historical data. When the sampling data is missing, the system can use the historical data to supplement the missing sampling points to avoid affecting the generation of the baseline due to incomplete data, thereby ensuring the continuity and accuracy of scheduling. For example, if the baseline at 09:30:00 on August 18 cannot be calculated, the baseline point at 09:30:00 on August 17 / 16 / 15 can be selected for completion, because the operation of the station does not change much in other time periods except for special date types without the influence of other factors.

[0065] Please refer to Figure 2 , Embodiment 4 of the present invention is: a baseline calculation and dispatching terminal 1 for an electric power system, comprising a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3, wherein the processor 3 completes the steps in the baseline calculation and dispatching method for the electric power system when executing the computer program.

[0066] In summary, the present invention provides a baseline calculation and scheduling method and terminal for an electric power system. Based on the power regularly collected during daily operation of the station equipment as sampling point data, after eliminating the characteristic data, a virtual baseline for each station is calculated, and each baseline is split according to a preset splitting method and then redistributed to each station, thereby being compatible with external demands while maintaining daily operation.

[0067] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A baseline calculation and dispatching method for a power system, characterized in that: Includes steps: S1. Obtain the sampling point data of the power collected regularly in the station equipment; S2, filtering out the sampling point data with characteristic indicators and calculating the baseline of each station; the sampling point data with characteristic indicators are data obtained by sampling when the station operates according to external customized rules; The baseline calculation is based on three types: working days, non-working days and holidays. For each type, the invitation execution day is also checked. The baseline indicator of the invitation execution day is considered as the characteristic indicator; S3. Allocate the baseline to each station according to a preset splitting method; the preset splitting method specifically comprises the steps of: Obtain the number of stations, divide the external demand baseline equally according to the number of stations, and allocate it to each station; or, Obtain the installed capacity of the energy storage converter of each station, split the external demand baseline in proportion based on the installed capacity, and allocate it to the corresponding station; The scheduling of the calculation baseline is based on Dolphin scheduling. If the scheduling task fails to execute, it will be retried. If it fails after three retries, an alarm will be triggered. The step S3 further includes a step S4: If it is detected that the station baseline cannot be calculated, the external demand baseline will be split according to the station characteristics and allocated to each station; If it is detected that the sampling point data is missing, the sampling point data will be supplemented based on historical data.

2. A baseline calculation and dispatching terminal for a power system, characterized in that: The invention comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are performed: S1. Obtain the sampling point data of the power collected regularly in the station equipment; S2, filtering out the sampling point data with characteristic indicators and calculating the baseline of each station; the sampling point data with characteristic indicators are data obtained by sampling when the station operates according to external customized rules; The baseline calculation is based on three types: working days, non-working days and holidays. For each type, the invitation execution day is also checked. The baseline indicator of the invitation execution day is considered as the characteristic indicator; S3. Allocate the baseline to each station according to a preset splitting method; the preset splitting method specifically comprises the steps of: Obtain the number of stations, divide the external demand baseline equally according to the number of stations, and allocate it to each station; or, Obtain the installed capacity of the energy storage converter of each station, split the external demand baseline in proportion based on the installed capacity, and allocate it to the corresponding station; The scheduling of the calculation baseline is based on Dolphin scheduling. If the scheduling task fails to execute, it will be retried. If it fails after three retries, an alarm will be triggered. The step S3 further includes a step S4: If it is detected that the station baseline cannot be calculated, the external demand baseline will be split according to the station characteristics and allocated to each station; If it is detected that the sampling point data is missing, the sampling point data will be supplemented based on historical data.

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