Power system adjusting method and device, electronic equipment, medium and program product

Abstract

The invention discloses an electric power system adjusting method and device, electronic equipment, a medium and a program product, and the method comprises the steps: predicting a target demand electric quantity according to historical electricity utilization information, target weather data and a target electricity utilization abnormal condition, and obtaining a predicted demand electric quantity; obtaining the operation state of the power system, and predicting the power output of the power system according to the historical weather data, the historical power output data, the historical operation state, the target weather data and the operation state of the power system to obtain predicted power output; determining a power regulation strategy of the power system according to the predicted demand electric quantity and the predicted power output; and adjusting operation parameters of the power system according to the power adjustment strategy of the power system. According to the scheme of the invention, the demand electric quantity and the power output are predicted, and the distribution of the power system is adjusted according to the prediction result, so that the condition of delay of power grid resource distribution is avoided, and the use experience of power grid users is improved.

Description

Technical Field

[0001] The present application relates to the field of resource management technology, and in particular to a power system regulation method, device, electronic equipment, medium and program product. Background Art

[0002] User-side resources refer to power generation, power consumption, and energy storage equipment installed on the power consumption side, owned by the user, and capable of interacting with the power grid. They are flexible resources that can participate in scheduling. With the development of energy Internet and smart grid, electricity, as a high-availability energy source, is becoming increasingly important to manage. Therefore, user-side resource management has gradually become an important part of energy management.

[0003] At present, distributed energy resources are mainly configured based on the power load caused by actual electricity consumption on the user side.

[0004] However, adjusting the configuration of distributed energy resources according to the power load caused by actual electricity consumption on the user side, such as increasing the power configuration of a certain area after the electricity consumption in that area increases sharply in a short period of time, will cause delays in the grid's allocation of resources, thus affecting the user experience. Summary of the invention

[0005] The present application provides a power system regulation method, device, electronic device, medium and program product to solve the problem in the prior art that adjusting the configuration of distributed energy resources according to the power load caused by the actual power consumption on the user side will cause delays in the allocation of resources by the power grid, thereby affecting the user experience.

[0006] In a first aspect, the present application provides a power system regulation method, the method comprising:

[0007] The target power demand is predicted based on historical power consumption information, target weather data, and target power consumption anomalies to obtain the predicted power demand;

[0008] Acquiring the operating state of the power system, and predicting the power output of the power system according to historical weather data, historical power output data, historical operating state, the target weather data, and the operating state of the power system to obtain predicted power output;

[0009] Determining a power regulation strategy of the power system according to the predicted power demand and the predicted power output; wherein the power regulation strategy of the power system is used to indicate that the power cost of the power system is less than a preset cost and the energy utilization rate of the power system is greater than a preset utilization rate;

[0010] The operating parameters of the power system are adjusted according to the power regulation strategy of the power system.

[0011] In a second aspect, the present application provides a power system regulation device, the device comprising:

[0012] The demand forecasting module is used to forecast the target power demand based on historical power consumption information, target weather data and target power consumption anomalies to obtain the forecast power demand;

[0013] an output prediction module, used to obtain the operating status of the power system, and predict the power output of the power system according to historical weather data, historical power output data, historical operating status, the target weather data and the operating status of the power system to obtain predicted power output;

[0014] A strategy determination module, configured to determine a power regulation strategy of the power system according to the predicted power demand and the predicted power output; wherein the power regulation strategy of the power system is configured to indicate that the power cost of the power system is less than a preset cost and the energy utilization rate of the power system is greater than a preset utilization rate;

[0015] A parameter adjustment module is used to adjust the operating parameters of the power system according to the power adjustment strategy of the power system.

[0016] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the power system regulation method as described in any embodiment of the present application is implemented.

[0017] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the power system regulation method as described in any embodiment of the present application.

[0018] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the power system regulation method as described in any embodiment of the present application.

[0019] The scheme of the present application predicts the target demand electricity according to the historical electricity consumption information, the target weather data and the target electricity consumption anomaly to obtain the predicted demand electricity; obtains the operating status of the power system, and predicts the power output of the power system according to the historical weather data, the historical power output data, the historical operating status, the target weather data and the operating status of the power system to obtain the predicted power output; determines the power regulation strategy of the power system according to the predicted demand electricity and the predicted power output; wherein the power regulation strategy of the power system is used to indicate that the power consumption cost of the power system is less than the preset cost and the energy utilization rate of the power system is greater than the preset utilization rate; adjusts the operating parameters of the power system according to the power regulation strategy of the power system. That is, the scheme of the present application predicts the demand electricity and power output, and adjusts the power system according to the predicted results of the demand electricity and power output, thereby adjusting the power distribution to avoid the situation where there is a delay in the allocation of resources by the power grid, thereby improving the user experience of the power grid users. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 It is a flow chart of the power system regulation method provided by the present application;

[0022] Figure 2 is another flow chart of the power system regulation method provided by the present application;

[0023] Figure 3 It is a structural schematic diagram of the power system regulating device provided by the present application;

[0024] Figure 4 It is a structural schematic diagram of the electronic device provided by this application. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] Figure 1 The present invention provides a flow chart of a method for regulating a power system, which can be performed by a power system regulating device, which can be implemented in software and / or hardware. In a specific embodiment, the device can be applied to an electronic device, which can be a computer capable of controlling a power system. The following embodiments will be described by taking the application of the device in an electronic device as an example, referring to Figure 1 , the method may specifically include the following steps:

[0028] Step 101 , predicting the target power demand according to historical power consumption information, target weather data and target power consumption abnormality to obtain the predicted power demand.

[0029] Specifically, historical power consumption information refers to the power load consumption information and the information that affects the power load consumption during the historical power consumption process. For example, the power load consumption information can be multiple power loads within a certain period of time in history. Information that affects power load consumption can be historical weather information, such as the need to turn on the air conditioner when the weather is hot, which causes a significant increase in power load. Information that affects power load consumption can also be historical power consumption anomalies. For example, a steel plant needs to complete a large amount of steel processing in a short period of time, which will cause a significant increase in power load. The target power demand is predicted based on the historical power consumption information, the target weather data, and the target power consumption anomaly. The predicted power demand can be based on the target weather data and the target power consumption anomaly. Find the same or similar historical power consumption in the record of the historical power consumption information, and use the power load corresponding to the historical power consumption as the predicted power demand. Similar historical power consumption can be that the historical power consumption anomaly is the same as the target power consumption anomaly, and the difference between the historical weather data and the target weather data is less than the preset difference, which can be 2°C.

[0030] Optionally, the historical electricity usage information includes historical power load, historical weather data and historical abnormal electricity usage, and step 101 can be implemented through steps 1011 to 1012.

[0031] Step 1011, training the demand forecasting model to be trained according to historical power load, historical weather data and historical power consumption anomalies to obtain a demand forecasting model.

[0032] Specifically, the historical power load is a data set of the power consumption measured at a certain interval within a historical period. For example, the historical power load of an air conditioner in three years is a data set of the power consumption (kwh) of the air conditioner every 15 minutes every day within three years, so 96 power load data can be obtained in one day. Historical weather data is a weather data set such as temperature and humidity measured at a certain interval within a historical period. For example, the historical weather data of the area where an air conditioner is located in three years is a weather temperature data set and a weather humidity data set for each day in the area where the air conditioner is located within three years. The historical power consumption abnormality is a situation where the power consumption change amplitude is greater than the preset amplitude in a historical period. For example, the work of a steel plant is divided into off-season work and peak season work, and the historical power consumption abnormality of the steel plant is that the market demand is large and the power consumption is high in summer. The historical weather data and the historical power consumption abnormality are input into the demand forecasting model to be trained, and the output result of the demand forecasting model to be trained is trained according to the historical power load until the model training termination condition is reached, and the demand forecasting model can be obtained. Among them, the model training termination condition can be that the number of training rounds reaches the preset number of rounds, the training loss is lower than a certain value, etc.

[0033] Step 1012, inputting the target weather data and the target power consumption abnormality into the demand forecasting model to obtain the predicted power demand output by the demand forecasting model.

[0034] Specifically, after obtaining the demand forecasting model, the target weather data and the target power consumption abnormality are input into the demand forecasting model to obtain the predicted power demand output by the demand forecasting model. Depending on the target weather data and the target power consumption abnormality, the predicted power demand obtained is also different. If the target weather data and the target power consumption abnormality are data within a certain period of time, the predicted power demand is time-divided data. If the target weather data and the target power consumption abnormality are data within a long period of time, the predicted power demand is data that can indicate the total load within the time period.

[0035] Optionally, before step 1011, steps 11 and 12 may also be performed.

[0036] Step 11, collecting original power load, original weather data and original power consumption anomalies.

[0037] Step 12, performing data missing value processing and data standardization processing on the original power load, original weather data and original power consumption anomaly to obtain historical power load, historical weather data and historical power consumption anomaly.

[0038] Specifically, after collecting the original power load, original weather data and original power consumption anomaly, the original power load, original weather data and original power consumption anomaly are processed for missing values ​​and data standardization, and the missing values ​​are supplemented, such as taking adjacent values ​​and performing normalization processing, etc. This makes it easier to calculate the processed original power load, original weather data and original power consumption anomaly, and at this time, the historical power load, historical weather data and historical power consumption anomaly are obtained.

[0039] Step 102, obtaining the operating status of the power system, and predicting the power output of the power system based on historical weather data, historical power output data, historical operating status, target weather data and the operating status of the power system to obtain predicted power output.

[0040] Specifically, the operating state of the power system refers to the current operating state of multiple devices in the power system. For example, the operating state of the power system can be the working state of the inverter, the angle state of the photovoltaic panel, the solar irradiance, etc. Obtaining the operating state of the power system can be sending status acquisition information to each device in the power system to obtain the operating state of each device in the power system, or the staff can directly send the state of each device in the power system to the electronic device executing this embodiment, so that the electronic device obtains the operating state of the power system. This scheme does not limit this. The historical power output data is a group of power output data measured at intervals of a certain length of time in a historical period. The historical operating state is the operating state of the power system determined at intervals of a certain length of time in a historical period. The power output of the power system is predicted according to the historical weather data, the historical power output data, the historical operating state, the target weather data and the operating state of the power system. The predicted power output can be obtained by finding the same information in the records of the historical weather data and the historical operating state according to the target weather data and the operating state of the power system, and taking the historical power output data corresponding to the historical weather data and the historical operating state as the predicted power output.

[0041] Optionally, step 102 may be implemented through steps 1021 to 1022 .

[0042] Step 1021 , training the power output prediction model to be trained according to historical weather data, historical operating status and historical power output data to obtain a power output prediction model.

[0043] Specifically, historical weather data and historical operating status are input into the power output prediction model to be trained, and the output result of the power output prediction model to be trained is trained according to the historical power output data until the model training termination condition is met, and the power output prediction model can be obtained. The model training termination condition may be that the number of training rounds reaches a preset number of rounds, the training loss is lower than a certain value, etc.

[0044] Step 1022, input the target weather data and the operating status of the power system into the power output prediction model to obtain the predicted power output output by the power output prediction model.

[0045] Specifically, after the power output prediction model is obtained, the target weather data and the operating status of the power system are input into the power output prediction model to obtain the predicted power output outputted by the power output prediction model.

[0046] Optionally, before step 1021, steps 21 to 22 may also be performed.

[0047] Step 21, collecting original weather data, original operating status and original power output data.

[0048] Step 22, performing data cleaning and feature extraction on the original weather data, original operating status and original power output data to obtain historical weather data, historical operating status and historical power output data.

[0049] Specifically, during the collection of the original power output data, since the data collected by the photovoltaic power generation part will change due to changes in sunshine, it is necessary to perform feature extraction to make the data points easier to calculate. After collecting the original weather data, original operating status, and original power output data, the original weather data, original operating status, and original power output data are cleaned and feature extracted to make the processed original weather data, original operating status, and original power output data easier to calculate, and at this time, historical weather data, historical operating status, and historical power output data are obtained.

[0050] Step 103: Determine a power regulation strategy for the power system according to the predicted power demand and the predicted power output.

[0051] The power regulation strategy of the power system is used to indicate that the electricity cost of the power system is less than a preset cost and the energy utilization rate of the power system is greater than a preset utilization rate.

[0052] Specifically, the preset cost is the preset power generation cost, the preset utilization rate is the preset energy utilization rate, and the power regulation strategy is practical only when the power distribution cost is less than the preset cost and the energy utilization rate of the power system is greater than the preset utilization rate. Therefore, according to the predicted power demand and the predicted power output, the power output of the power system is allocated, for example, the predicted power output is allocated on the predicted power demand side through a particle swarm optimization algorithm, so that the power regulation strategy is practical only when the power distribution cost is less than the preset cost and the energy utilization rate of the power system is greater than the preset utilization rate, thereby determining the power regulation strategy of the power system.

[0053] Step 104: Adjust operating parameters of the power system according to the power regulation strategy of the power system.

[0054] Specifically, the operating parameters of the power system are adjusted according to the power regulation strategy of the power system so that the adjusted operating parameters of the power system can realize the power regulation strategy of the power system. For example, if the power regulation strategy is to store the power that cannot be consumed in area A, it is determined that the power that cannot be consumed in area A is transmitted to the energy storage area.

[0055] Optionally, the operating parameters of the power system include at least one of the following: the regional power generation of the power system, the number of photovoltaic modules of the power system, the DC return cabinet switch of the power system, the AC return cabinet switch of the power system, the angle of the photovoltaic panels of the power system, and the switching line switch of the inverter of the power system.

[0056] Specifically, the operating parameters of the power system are adjustable parameters in the power system. There are multiple power generation areas in the power system, and each power generation area includes multiple photovoltaic modules, DC return cabinets, AC return cabinets, photovoltaic panels and inverters. When adjusting the regional power generation of the power system, the regional power generation of the power system can be adjusted by adjusting the power generation devices turned on or off in the area. When adjusting the number of photovoltaic modules in the power system, the power generation of the area is adjusted by reducing or increasing the number of photovoltaic modules in the power system in a certain area. Adjusting the switch of the DC return cabinet and the switch of the AC return cabinet in a certain area of ​​the power system can adjust the power generation of the area. Adjusting the angle of the photovoltaic panel in a certain area of ​​the power system can adjust the power generation of the area. Adjusting the switching line switch of the inverter in a certain area of ​​the power system can adjust the power generation of the area. By adjusting the power generation of multiple areas, power regulation of the entire power system is achieved.

[0057] The scheme of the present application predicts the target demand electricity according to the historical electricity consumption information, the target weather data and the target electricity consumption anomaly to obtain the predicted demand electricity; obtains the operating status of the power system, and predicts the power output of the power system according to the historical weather data, the historical power output data, the historical operating status, the target weather data and the operating status of the power system to obtain the predicted power output; determines the power regulation strategy of the power system according to the predicted demand electricity and the predicted power output; wherein the power regulation strategy of the power system is used to indicate that the power consumption cost of the power system is less than the preset cost and the energy utilization rate of the power system is greater than the preset utilization rate; adjusts the operating parameters of the power system according to the power regulation strategy of the power system. That is, the scheme of the present application predicts the demand electricity and power output, and adjusts the power system according to the predicted results of the demand electricity and power output, thereby adjusting the power distribution to avoid the situation where there is a delay in the allocation of resources by the power grid, thereby improving the user experience of the power grid users.

[0058] Figure 2 is another flow chart of the power system regulation method provided by the present application. Figure 1 Based on the illustrated embodiment and various optional implementation schemes, the steps of determining the power regulation strategy of the power system according to the predicted power demand and the predicted power output are described in detail. Figure 2 As shown, the method may include the following steps:

[0059] Step 201 , predicting the target power demand according to the historical power consumption information, the target weather data and the target power consumption abnormality, and obtaining the predicted power demand.

[0060] Step 202, obtaining the operating status of the power system, and predicting the power output of the power system based on historical weather data, historical power output data, historical operating status, target weather data and the operating status of the power system to obtain predicted power output.

[0061] Step 203: Obtain power costs of multiple regions of the power system.

[0062] Specifically, the regional power cost is the cost of supplying power from the target power generation area of ​​the power system to the power demand area, such as the power generation cost and the power transportation cost. For example, the cost of supplying power from photovoltaic power generation area A to power demand area C includes the power generation cost of photovoltaic power generation area A and the cost of photovoltaic power generation area A transporting power to power demand area C. Taking photovoltaic power generation as an example, the more abundant the sunlight, the lower the power generation cost. The farther the target power generation area is from the power demand area, the higher the power generation cost.

[0063] For example, the power system has photovoltaic power generation area A and photovoltaic power generation area B with the same power generation cost, power demand area C has power demand, and the distance between photovoltaic power generation area A and power demand area C is farther than the distance between photovoltaic power generation area B and power demand area C. Therefore, the cost of photovoltaic power generation area A is greater than that of photovoltaic power generation area B.

[0064] Step 204, determining a power regulation strategy of the power system according to a preset optimization algorithm based on the predicted power demand, the predicted outputs of the multiple regions, and the power costs of the multiple regions.

[0065] Specifically, the preset optimization algorithm is an algorithm that can calculate the optimal power regulation strategy based on the predicted power demand, the predicted output of multiple regions, and the power costs of multiple regions. For example, the preset optimization algorithm can be a genetic algorithm or a particle swarm optimization algorithm, etc. The predicted power demand, the predicted output of multiple regions, and the power costs of multiple regions are calculated according to the preset optimization algorithm to obtain a power regulation strategy for the power system that can make the power cost of the power system less than the preset cost and the energy utilization rate of the power system greater than the preset utilization rate.

[0066] Exemplarily, the power system has photovoltaic power generation area A and photovoltaic power generation area B, and the power generation cost of photovoltaic power generation area A is lower than that of photovoltaic power generation area B. Power demand area C is predicted to have a power demand of 500,000 kWh, the predicted output of photovoltaic power generation area A is 600,000 kWh, the predicted output of photovoltaic power generation area B is 300,000 kWh, and the distance between photovoltaic power generation area B and power demand area C is smaller than the distance between photovoltaic power generation area A and power demand area C. According to the preset optimization algorithm, the predicted demand power of power demand area C, the predicted output of photovoltaic power generation area A and photovoltaic power generation area B, and the power cost of photovoltaic power generation area A and photovoltaic power generation area B supplying power to power demand area C are calculated, and the power regulation strategy is that the output of photovoltaic power generation area B is fully supplied to power demand area C, and at the same time, photovoltaic power generation area A outputs 200,000 kWh to power demand area C.

[0067] Step 205: Adjust the operating parameters of the power system according to the power regulation strategy of the power system.

[0068] The solution of the present application determines the power regulation strategy of the power system through a preset optimization algorithm based on the power output prediction results of different regions, refines the distribution of the predicted power output, makes the power regulation strategy more suitable for the predicted power demand, further avoids delays in the allocation of power grid resources, and thus improves the user experience of power grid users.

[0069] Figure 3 is a structural diagram of a power system regulation device provided in this application, and the device is suitable for executing the power system regulation method provided in this application. Figure 3 As shown, the device may specifically include:

[0070] The demand prediction module 301 is used to predict the target power demand according to the historical power consumption information, the target weather data and the target power consumption abnormality to obtain the predicted power demand.

[0071] The output prediction module 302 is used to obtain the operating status of the power system, and predict the power output of the power system based on historical weather data, historical power output data, historical operating status, the target weather data and the operating status of the power system to obtain the predicted power output.

[0072] The strategy determination module 303 is used to determine the power regulation strategy of the power system based on the predicted demand power and the predicted power output; wherein the power regulation strategy of the power system is used to indicate that the electricity cost of the power system is less than the preset cost and the energy utilization rate of the power system is greater than the preset utilization rate.

[0073] The parameter adjustment module 304 is used to adjust the operating parameters of the power system according to the power adjustment strategy of the power system.

[0074] In one embodiment, the historical electricity usage information of the demand forecasting module 301 includes historical power load, historical weather data and historical abnormal electricity usage. The demand forecasting module 301 is specifically used to: train the demand forecasting model to be trained according to the historical power load, the historical weather data and the historical abnormal electricity usage to obtain a demand forecasting model; input the target weather data and the target abnormal electricity usage into the demand forecasting model to obtain the predicted demand electricity output by the demand forecasting model.

[0075] In one embodiment, the demand forecasting module 301 is used to: collect the original power load, the original weather data, and the original power consumption anomaly; perform data missing value processing and data standardization on the original power load, the original weather data, and the original power consumption anomaly, before training the demand forecasting model to be trained based on the historical power load, the historical weather data, and the historical power consumption anomaly to obtain the demand forecasting model.

[0076] In one embodiment, the output prediction module 302 predicts the power output of the power system based on historical weather data, historical power output data, historical operating status and the operating status of the power system to obtain the predicted power output. Specifically, it is used to: train the power output prediction model to be trained based on the historical weather data, the historical operating status and the historical power output data to obtain the power output prediction model; input the target weather data and the operating status of the power system into the power output prediction model to obtain the predicted power output output by the power output prediction model.

[0077] In one embodiment, the output prediction module 302 is also used to: collect original weather data, original operating status and original power output data; perform data cleaning and feature extraction on the original weather data, the original operating status and the original power output data to obtain the historical weather data, the historical operating status and the historical power output data before training the power output prediction model to be trained based on the historical weather data, the historical operating status and the historical power output data.

[0078] In one embodiment, the predicted power output includes multiple regional predicted outputs, and the strategy determination module 303 is specifically used to: obtain multiple regional power costs of the power system; determine the power regulation strategy of the power system according to a preset optimization algorithm based on the predicted demand power, the multiple regional predicted outputs and the multiple regional power costs.

[0079] In one embodiment, the operating parameters of the power system of the parameter adjustment module 304 include at least one of the following: the regional power generation of the power system, the number of photovoltaic modules of the power system, the DC return cabinet switch of the power system, the AC return cabinet switch of the power system, the angle of the photovoltaic panel of the power system, and the switching line switch of the inverter of the power system.

[0080] The device of the present application predicts the target demand power according to the historical power consumption information, the target weather data and the target power consumption anomaly to obtain the predicted demand power; obtains the operating status of the power system, and predicts the power output of the power system according to the historical weather data, the historical power output data, the historical operating status, the target weather data and the operating status of the power system to obtain the predicted power output; determines the power regulation strategy of the power system according to the predicted demand power and the predicted power output; wherein the power regulation strategy of the power system is used to indicate that the power consumption cost of the power system is less than the preset cost and the energy utilization rate of the power system is greater than the preset utilization rate; adjusts the operating parameters of the power system according to the power regulation strategy of the power system. That is, the scheme of the present application predicts the demand power and power output, and adjusts the power system according to the predicted results of the demand power and power output, thereby adjusting the power distribution to avoid the situation where there is a delay in the allocation of resources by the power grid, thereby improving the user experience of the power grid users.

[0081] The present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the power system regulation method provided in any of the above embodiments is implemented.

[0082] The present application also provides a computer-readable medium having a computer program stored thereon, and when the program is executed by a processor, the power system regulation method provided in any of the above embodiments is implemented.

[0083] Reference below Figure 4 , which shows a structural schematic diagram of an electronic device 400 suitable for implementing the present application. Figure 4 The electronic device shown is only an example and should not bring any limitation to the function and scope of use of the present application.

[0084] like Figure 4 As shown, the electronic device 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage part 408 into a random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 are also stored. The CPU 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0085] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.

[0086] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit (CPU) 401, the above-mentioned functions defined in the system of the present application are executed.

[0087] It should be noted that the computer-readable medium shown in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0088] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0089] The modules and / or units described in this application may be implemented in software or hardware. The modules and / or units described may also be set in a processor. For example, they may be described as: a processor includes a demand forecasting module, an output forecasting module, a strategy determination module, and a parameter adjustment module. The names of these modules do not, in some cases, constitute limitations on the modules themselves.

[0090] As another aspect, the present application also provides a computer-readable medium, which may be included in the device described in the above embodiment; or may exist independently without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by a device, the device performs the following operations:

[0091] The target power demand is predicted based on historical power consumption information, target weather data and target power consumption anomalies to obtain the predicted power demand; the operating status of the power system is acquired, and the power output of the power system is predicted based on historical weather data, historical power output data, historical operating status, target weather data and the operating status of the power system to obtain the predicted power output; the power regulation strategy of the power system is determined based on the predicted power demand and the predicted power output; wherein the power regulation strategy of the power system is used to indicate that the power consumption cost of the power system is less than a preset cost and the energy utilization rate of the power system is greater than a preset utilization rate; the operating parameters of the power system are adjusted according to the power regulation strategy of the power system.

[0092] According to the technical solution of the present application, the target power demand is predicted according to the historical power consumption information, the target weather data and the target power consumption anomaly to obtain the predicted power demand; the operation status of the power system is obtained, and the power output of the power system is predicted according to the historical weather data, the historical power output data, the historical operation status, the target weather data and the operation status of the power system to obtain the predicted power output; the power regulation strategy of the power system is determined according to the predicted power demand and the predicted power output; wherein the power regulation strategy of the power system is used to indicate that the power cost of the power system is less than the preset cost and the energy utilization rate of the power system is greater than the preset utilization rate; the operation parameters of the power system are adjusted according to the power regulation strategy of the power system. That is, the solution of the present application predicts the power demand and power output, and adjusts the power system according to the predicted results of the power demand and power output, thereby adjusting the power distribution to avoid the situation where there is a delay in the allocation of resources by the power grid, thereby improving the user experience of the power grid users.

[0093] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the power system regulation method provided in any embodiment of the present application.

[0094] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present application, and the programming language includes an object-oriented programming language, such as Java, Smalltalk, C++, and also includes a conventional procedural programming language, such as "C" language or similar programming language. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0095] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution of this application can be achieved, and this document is not limited here.

[0096] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for regulating a power system, characterized in that: The method comprises: The target power demand is predicted based on historical power consumption information, target weather data, and target power consumption anomalies to obtain the predicted power demand; Acquiring the operating state of the power system, and predicting the power output of the power system according to historical weather data, historical power output data, historical operating state, the target weather data, and the operating state of the power system to obtain predicted power output; Determining a power regulation strategy of the power system according to the predicted power demand and the predicted power output; wherein the power regulation strategy of the power system is used to indicate that the power cost of the power system is less than a preset cost and the energy utilization rate of the power system is greater than a preset utilization rate; The operating parameters of the power system are adjusted according to the power regulation strategy of the power system.

2. The method according to claim 1, characterized in that The historical power consumption information includes historical power load, historical weather data and historical power consumption anomalies. The target power demand is predicted based on the historical power consumption information, target weather data and target power consumption anomalies to obtain the predicted power demand, including: Training the demand forecasting model to be trained according to the historical power load, the historical weather data, and the historical power consumption anomalies to obtain a demand forecasting model; The target weather data and target power consumption abnormality are input into the demand forecasting model to obtain the predicted power demand output by the demand forecasting model.

3. The method according to claim 2, characterized in that Before the demand forecasting model to be trained is trained according to the historical power load, the historical weather data and the historical power consumption anomaly to obtain the demand forecasting model, the method further includes: Collect original power load, original weather data and original power consumption anomalies; Data missing value processing and data standardization processing are performed on the original power load, the original weather data, and the original power consumption abnormality to obtain the historical power load, the historical weather data, and the historical power consumption abnormality.

4. The method according to claim 1, characterized in that: The predicting the power output of the power system according to the historical weather data, the historical power output data, the historical operating status, the target weather data and the operating status of the power system to obtain the predicted power output includes: Training the power output prediction model to be trained according to the historical weather data, the historical operating status and the historical power output data to obtain a power output prediction model; The target weather data and the operating status of the power system are input into the power output prediction model to obtain the predicted power output output by the power output prediction model.

5. The method according to claim 4, characterized in that Before training the power output prediction model to be trained according to the historical weather data, the historical operating status and the historical power output data, the method further includes: Collect original weather data, original operating status and original power output data; The original weather data, the original operating status and the original power output data are cleaned and feature extracted to obtain the historical weather data, the historical operating status and the historical power output data.

6. The method according to claim 1, characterized in that The predicted power output includes a plurality of regional predicted outputs, and determining the power regulation strategy of the power system according to the predicted power demand and the predicted power output includes: Obtaining power costs for multiple regions of the power system; According to the predicted demand power, the predicted outputs of the multiple regions and the power costs of the multiple regions, a power regulation strategy of the power system is determined according to a preset optimization algorithm.

7. The method according to claim 1, characterized in that The operating parameters of the power system include at least one of the following: the regional power generation of the power system, the number of photovoltaic modules of the power system, the DC return cabinet switch of the power system, the AC return cabinet switch of the power system, the angle of the photovoltaic panel of the power system, and the switching line switch of the inverter of the power system.

8. A power system regulating device, characterized in that: The device comprises: The demand forecasting module is used to forecast the target power demand based on historical power consumption information, target weather data and target power consumption anomalies to obtain the forecast power demand; an output prediction module, used to obtain the operating status of the power system, and predict the power output of the power system according to historical weather data, historical power output data, historical operating status, the target weather data and the operating status of the power system to obtain predicted power output; A strategy determination module, configured to determine a power regulation strategy of the power system according to the predicted power demand and the predicted power output; wherein the power regulation strategy of the power system is configured to indicate that the power cost of the power system is less than a preset cost and the energy utilization rate of the power system is greater than a preset utilization rate; A parameter adjustment module is used to adjust the operating parameters of the power system according to the power adjustment strategy of the power system.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the power system regulation method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the power system regulation method as described in any one of claims 1 to 7 is implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the power system regulation method according to any one of claims 1 to 7.

Images