CN116961061A

CN116961061A - Control method and device of energy storage equipment and electronic equipment

Info

Publication number: CN116961061A
Application number: CN202310930482.XA
Authority: CN
Inventors: 孙韵琳; 吴淼; 王钰
Original assignee: Guangdong Huaju Detection Technology Co ltd; Guangdong Yongguang New Energy Design Consulting Co ltd
Current assignee: Guangdong Huaju Detection Technology Co ltd; Guangdong Yongguang New Energy Design Consulting Co ltd
Priority date: 2023-07-26
Filing date: 2023-07-26
Publication date: 2023-10-27
Anticipated expiration: 2043-07-26
Also published as: CN116961061B

Abstract

The application provides a control method and device of energy storage equipment and electronic equipment, wherein the method is applied to a server and comprises the following steps: acquiring a first electric quantity of energy storage equipment; determining a second electric quantity required to be used by electric equipment in the first time period, wherein the electric equipment is connected with energy storage equipment; judging whether the first electric quantity is smaller than the second electric quantity, if the first electric quantity is smaller than the second electric quantity, determining a first predicted power supply quantity of the first power generation group; judging whether the first predicted power supply quantity is larger than or equal to a power storage difference value, wherein the power storage difference value is the difference value between the first electric quantity and the second electric quantity; and if the first predicted power supply quantity is greater than or equal to the power storage difference value, sending a first power supply instruction to the first power generation group so that the first power generation group supplies power to the energy storage equipment. The intelligent management system has the effect of being capable of intelligently managing the power supply of the energy storage equipment.

Description

Control method and device of energy storage equipment and electronic equipment

Technical Field

The application relates to the technical field of power systems, in particular to a control method and device of energy storage equipment and electronic equipment.

Background

An energy storage device of an electrical power system refers to a device for converting electrical energy into other forms of energy and reconverting it into electrical energy for supply to the electrical power system when required. The energy storage device plays an important role in the power system, and can provide various functions, including balancing the supply and demand relationship of the power system, adjusting the fluctuation of the power load, providing standby power, improving the utilization efficiency of renewable energy sources and the like.

A battery management system (Battery Management System, BMS for short) is a system for monitoring, controlling and protecting a battery pack in an energy storage device. The method plays a key role in the energy storage equipment, ensures the safe operation of the battery, prolongs the service life and improves the performance.

The BMS mainly realizes the management of the charge and discharge of the energy storage device in a fixed time by controlling the positive and negative contactors of the energy storage device. However, the management mode is not intelligent enough, and the condition that the electricity storage capacity of the energy storage device cannot meet the electricity supply capacity easily occurs, so that a user can lack sufficient electric energy to use the energy storage device. There is therefore a need for a method that allows for intelligent management of the power supplied to an energy storage device.

Disclosure of Invention

The application provides a control method and device of energy storage equipment and electronic equipment, which have the effect of being capable of intelligently managing power supply of the energy storage equipment.

In a first aspect of the present application, there is provided a method for controlling an energy storage device, the method being applied to a server, including:

acquiring a first electric quantity of energy storage equipment;

determining a second electric quantity required to be used by electric equipment in a first time period, wherein the electric equipment is connected with the energy storage equipment;

Judging whether the first electric quantity is smaller than the second electric quantity, if so, determining a first predicted power supply quantity of a first power generation group;

judging whether the first predicted power supply quantity is larger than or equal to a power storage difference value, wherein the power storage difference value is a difference value between the first electric quantity and the second electric quantity;

and if the first predicted power supply quantity is larger than or equal to the power storage difference value, a first power supply instruction is sent to the first power generation group so that the first power generation group supplies power to the energy storage equipment.

Through adopting above-mentioned technical scheme, the server judges whether the electric quantity that stores up electric equipment can provide the consumer and use according to the actual electric quantity of energy storage equipment, first electric quantity promptly to and the required electric quantity of consumer, second electric quantity promptly. Under the condition of insufficient reserved electric quantity, the server judges whether the electric quantity provided by the first power generation group is sufficient to supplement the electric storage difference value according to the electric storage difference value of the first electric quantity and the second electric quantity. And if the first power generation group is determined to be capable of providing enough electric quantity to supplement the electric storage difference value, sending a first power supply instruction to the first power generation group so that the first power generation group supplies power to the electric storage equipment. The system automatically decides whether power supply of the power generation group and adjustment of the power supply amount are needed or not by judging the relation between the first electric quantity and the second electric quantity. The automatic judging and controlling capability enables the energy storage equipment to make an intelligent decision according to actual conditions and respond to the change of the demand of the electric equipment in real time, so that the effect of intelligent management on the power supply of the energy storage equipment is achieved.

Optionally, the determining the first predicted power supply amount of the first power generation group specifically includes:

acquiring weather data of a second time period, wherein the second time period is a time period from the current moment to the moment when the first time period starts;

and determining the first predicted power supply amount in the second time period according to the weather data based on the corresponding relation between the historical weather data and the historical power supply amount.

By adopting the technical scheme, the first predicted power supply quantity corresponding to the weather data in the second time period is determined by acquiring the weather data and based on the relation of the historical data, so that the prediction accuracy of the power supply quantity can be improved, and the operation of the power generation group can be flexibly scheduled.

Optionally, the determining the first predicted power supply amount in the second period according to the weather data specifically includes:

calculating the similarity between the weather data and target weather data, wherein the target weather data is any one of a plurality of historical weather data;

judging whether the similarity is larger than a preset threshold value or not;

if the similarity is larger than the preset threshold, acquiring a target power supply amount corresponding to the target weather data, wherein the target power supply amount is a historical power supply amount corresponding to the target weather data in a plurality of historical power supply amounts;

And determining the first predicted power supply amount according to the second time period and the power supply duration corresponding to the target power supply amount.

By adopting the technical scheme, the corresponding target power supply quantity can be obtained according to the target weather data which is most similar to the current weather data in the historical weather data by considering the similarity of the weather data. This may improve the accuracy of the prediction of the amount of power supplied during the second time period, especially in case of seasonal, weather-related variations. By selecting the historical power supply amount corresponding to the target weather data most similar to the current weather data, the power supply amount for the first period can be estimated more accurately.

Optionally, the determining the second electric quantity required to be used by the electric equipment in the first time period specifically includes:

acquiring prestored historical electricity utilization data, wherein the historical electricity utilization data are data of the historical electricity consumption of the electric equipment;

acquiring historical electricity utilization time length data corresponding to each piece of historical electricity utilization data;

determining the electricity consumption of the electric equipment in unit time based on a plurality of historical electricity consumption data and the historical electricity consumption duration data;

the second power amount is predicted based on the power consumption amount per unit time and the first period.

By adopting the technical scheme, the unit time electricity consumption of the electric equipment can be calculated by analyzing a plurality of historical electricity consumption data and electricity consumption duration data. The power consumption per unit time reflects the average power consumption level of the electric equipment in the historical data, and can provide more accurate power consumption estimation of the electric equipment. By predicting based on historical data, the electricity demand of the electric equipment in the first time period can be reflected to a certain extent.

Optionally, the predicting the second electric quantity based on the electric quantity used in unit time and the first time period specifically includes:

determining an electricity consumption prediction amount of the first time period according to the electricity consumption amount of the unit time and the first time period;

acquiring weather data of the first time period;

determining the increment of the electricity consumption corresponding to the weather data according to the corresponding relation between a plurality of prestored historical weather data and the increment of the electricity consumption;

and determining the second electric quantity according to the electricity consumption pre-measurement and the electricity consumption increment.

Through adopting above-mentioned technical scheme, through obtaining the weather data of first time quantum, consider the influence of weather to the power consumption, can predict the power consumption of second time quantum more accurately. Under different weather conditions, the energy consumption of the electric equipment may have difference, and the electric consumption can be corrected and predicted according to the weather data by combining the electric consumption increment corresponding to the actual weather data and the historical weather data.

Optionally, after the determining whether the first predicted power supply amount is greater than or equal to the power storage difference value, the method further includes:

if the first predicted power supply quantity is smaller than the power storage difference value, determining a power supply difference value according to the first predicted power supply quantity and the power storage difference value;

and sending a second power supply instruction to a second power generation group according to the power supply difference value, so that the second power supply group provides a second predicted power supply amount for the energy storage equipment, and the second predicted power supply amount is larger than or equal to the power supply difference value.

Through adopting above-mentioned technical scheme, through comparing first prediction power supply volume and electric storage difference, can judge whether energy storage equipment can satisfy the demand of consumer. If the first predicted power supply amount is smaller than the power storage difference value, a power supply gap exists, and additional power supply amount needs to be acquired from the second power generation group to supplement. Therefore, the electric quantity stored by the energy storage equipment can be ensured to meet the actual requirements of electric equipment.

Optionally, the first power generation group is a clean energy power generation group and comprises a solar power generation group and a wind power generation group;

the second power generation group is a conventional power generation group and comprises a thermal power generation group.

Through adopting above-mentioned technical scheme, when the electricity storage capacity of electricity storage equipment is not enough the consumer use, the preferential power supply through first generating set adopts clean energy generating set can reduce the pollution to the environment. And when the power supply quantity of the first power generation group cannot meet the use requirement of the electric equipment, the second power generation group supplies power, so that the power utilization requirement of the electric equipment is met.

In a second aspect of the present application, a control device for an energy storage device is provided, where the device is a server, and includes an acquisition module, a calculation module, a judgment module, and a sending module, where:

the acquisition module is used for acquiring the first electric quantity of the energy storage device;

the computing module is used for determining second electric quantity required to be used by electric equipment in the first time period, and the electric equipment is connected with the energy storage equipment;

the judging module is used for judging whether the first electric quantity is smaller than the second electric quantity, and if the first electric quantity is smaller than the second electric quantity, determining a first predicted power supply quantity of a first power generation group;

the judging module is used for judging whether the first predicted power supply quantity is larger than or equal to a power storage difference value, wherein the power storage difference value is a difference value between the first electric quantity and the second electric quantity;

and the sending module is used for sending a first power supply instruction to the first power generation group if the first predicted power supply amount is greater than or equal to the power storage difference value so that the first power generation group supplies power to the energy storage equipment.

In a third aspect the application provides an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface, both for communicating with other devices, the processor being for executing instructions stored in the memory to cause the electronic device to perform a method as claimed in any one of the preceding claims.

In a fourth aspect of the application there is provided a computer readable storage medium storing instructions which, when executed, perform a method as claimed in any one of the preceding claims.

In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:

1. the server judges whether the electric quantity stored by the power storage equipment can be used by the electric equipment or not according to the actual electric quantity of the energy storage equipment, namely the first electric quantity, and the electric quantity required by the electric equipment, namely the second electric quantity. Under the condition of insufficient reserved electric quantity, the server judges whether the electric quantity provided by the first power generation group is sufficient to supplement the electric storage difference value according to the electric storage difference value of the first electric quantity and the second electric quantity. And if the first power generation group is determined to be capable of providing enough electric quantity to supplement the electric storage difference value, sending a first power supply instruction to the first power generation group so that the first power generation group supplies power to the electric storage equipment.

2. The system automatically decides whether power supply of the power generation group and adjustment of the power supply amount are needed or not by judging the relation between the first electric quantity and the second electric quantity. The automatic judging and controlling capability enables the energy storage equipment to make an intelligent decision according to actual conditions and respond to the change of the demand of the electric equipment in real time, so that the effect of intelligent management on the power supply of the energy storage equipment is achieved.

3. By comparing the first predicted power supply amount with the power storage difference value, whether the energy storage device can meet the requirements of electric equipment can be judged. If the first predicted power supply amount is smaller than the power storage difference value, a power supply gap exists, and additional power supply amount needs to be acquired from the second power generation group to supplement. Therefore, the electric quantity stored by the energy storage equipment can be ensured to meet the actual requirements of electric equipment.

Drawings

Fig. 1 is a schematic flow chart of a control method of an energy storage device according to an embodiment of the present application;

FIG. 2 is a flow chart of a method for predicting a second electric quantity according to an embodiment of the present application;

FIG. 3 is a schematic flow chart of a method for predicting a second electric quantity by combining weather data according to an embodiment of the application

Fig. 4 is a schematic structural diagram of a control device of an energy storage device according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Reference numerals illustrate: 401. an acquisition module; 402. a computing module; 403. a judging module; 404. a transmitting module; 501. a processor; 502. a communication bus; 503. a user interface; 504. a network interface; 505. a memory.

Detailed Description

In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.

In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.

In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

The BMS mainly realizes the management of the charge and discharge of the energy storage device in a fixed time by controlling the positive and negative contactors of the energy storage device. However, the management mode is not intelligent enough, and the condition that the electricity storage capacity of the energy storage device cannot meet the electricity supply capacity easily occurs, so that a user can lack sufficient electric energy to use the energy storage device. There is therefore a need for a method to intelligently manage energy storage devices.

The embodiment discloses a control method of energy storage equipment, referring to fig. 1, comprising the following steps:

S110, acquiring first electric quantity of the energy storage device.

Specifically, the control method of the energy storage device disclosed in the embodiment is applied to a server, including but not limited to electronic devices such as a mobile phone, a tablet computer, a wearable device, a PC (Personal Computer, a personal computer) and the like, and may also be a background server running the control method of the energy storage device. The server may be implemented as a stand-alone server or as a server cluster composed of a plurality of servers.

The server acquires the actual electricity storage quantity of the energy storage device, namely the first electricity quantity in real time. The actual power storage capacity of the different energy storage devices of the different power systems is different, and in general, the power storage capacity of the energy storage devices is expressed in kilowatt-hours (kWh), and in order to facilitate explanation of the embodiment of the present solution, the power storage capacity units are expressed in percentage. Under the condition that the energy storage equipment is full of electricity, the actual electric quantity is 100%.

S120, determining second electric quantity needed to be used by the electric equipment in the first time period.

The electric equipment is daily household electric equipment connected with the energy storage equipment, such as electric equipment of a water heater, an air conditioner, a refrigerator, a television, a dust collector, a computer and the like. The electric equipment of every family passes through the different power supply circuit of family's circuit connection, and different power supply circuit passes through the power supply bus again and is connected with energy storage equipment, and then energy storage equipment is connected with the electric equipment introduction.

The household electric equipment at different moments has different working conditions, so that the electricity consumption at different time periods is different. However, by analyzing historical data, including power consumption of the powered device, seasonal changes, day of the week changes, special events, etc., certain laws and trends may be identified. Based on the analysis of the historical data, the approximate power consumption of the powered device over a period of time in the future may be predicted. Referring to fig. 2, a method for predicting a second electric quantity required to be used by a powered device in a first period of time includes the following steps S210-S240:

s210, acquiring a plurality of prestored historical electricity utilization data.

When the electric equipment consumes the electric quantity of the energy storage equipment, the server records the power supply condition of the energy storage equipment in real time, records the power supply quantity of the energy storage equipment as historical power utilization data of the electric equipment, and stores the historical power utilization data in a database. And when the electricity consumption of the electric equipment is predicted, a plurality of prestored historical electricity consumption data can be directly called from the database.

S220, historical electricity duration data corresponding to each piece of historical electricity data is obtained.

In order to reduce the data storage amount, when the historical electricity data is stored, the historical electricity data in different time periods is combined, the combined data and the corresponding time length are marked, and then the historical electricity data is stored. For example, the power consumption is 1.2% in the first hour of a certain day, 1.3% in the second hour, and 1.7% in the third hour. The three hours of electricity consumption are combined to obtain 4.2% of electricity consumption. The historical electricity consumption data is stored in the database to be 4.2%, and the corresponding historical electricity consumption time length data is stored to be 3 hours.

S230, determining the electricity consumption amount of the electric equipment in unit time based on the historical electricity consumption data and the historical electricity consumption duration data.

And after the server acquires a large amount of historical electricity utilization data of the electric equipment and the historical electricity utilization time length data corresponding to the historical electricity utilization data, carrying out statistical analysis on the data. Firstly, ensuring the quality and the integrity of data, and carrying out preset processing on a large amount of data, wherein the preset processing comprises checking missing values, abnormal values, repeated values and the like. And then exploratory analysis is carried out on the collected historical electricity utilization data and the historical electricity utilization time length data corresponding to the collected historical electricity utilization data, wherein the exploratory analysis comprises data distribution, trend, periodicity and the like. Features and trends of the data are presented using charts, statistical indicators, and visualization tools (e.g., line graphs, bar graphs, box graphs, etc.). And analyzing the long-term trend and periodicity of the data according to the trend change of the historical electricity consumption data of a plurality of months. Statistical methods (e.g., linear regression, moving averages, trend decomposition, etc.) may be used to identify and analyze trends and periodic components of the data. And then selecting a proper prediction model for modeling according to the trend and the periodical analysis result. Common predictive models include time series analysis methods (e.g., ARIMA) and machine learning methods (e.g., regression models, neural networks). And selecting a proper model for training and fitting according to the characteristics of the historical data.

A portion of the historical data may also be used as a training set, with the trained model being used to predict the remaining data. And comparing the prediction error with actual data, and evaluating the accuracy of the model. And optimizing model parameters and structures according to the evaluation result, and improving the prediction precision. And finally, predicting the electricity consumption data of the first time period by using the verified and optimized model. Based on the prediction result, the electricity consumption per unit time, such as the electricity consumption per hour, day or month, is calculated.

And S240, predicting the second electric quantity based on the electric quantity used in the unit time and the first time period.

The unit-time electricity consumption of the electric equipment can be calculated by analyzing a plurality of historical electricity consumption data and electricity consumption duration data. The power consumption per unit time reflects the average power consumption level of the electric equipment in the historical data, and can provide more accurate power consumption estimation of the electric equipment. By predicting based on historical data, the electricity demand of the electric equipment in the first time period can be reflected to a certain extent.

In order to further improve the accuracy of the prediction when predicting the electricity consumption, the electricity consumption is generally predicted in combination with weather conditions, referring to fig. 3, including the following steps S310-S340:

And S310, determining the electricity consumption predicted amount of the first time period according to the electricity consumption amount of the unit time and the first time period.

The electricity consumption in the unit time of the first time is obtained, and then the electricity consumption in the first time period and the data in the first time period are combined to be multiplied, so that the electricity consumption and the measurement in the first time period can be calculated.

S320, weather data of a first time period is acquired.

Weather data of a first time period, including weather parameters related to electricity consumption such as temperature, humidity, rainfall and the like, are acquired from a suitable weather data source, and accuracy and timeliness of the weather data are ensured.

S330, determining the electricity consumption increment corresponding to the weather data according to the corresponding relation between the prestored plurality of historical weather data and the prestored electricity consumption increment.

Pre-stored historical weather data and corresponding electricity consumption increment data are prepared. And analyzing the data, and establishing a relation model between the weather data and the electricity consumption increment, wherein methods such as regression analysis, correlation analysis and the like can be adopted. And according to the weather data of the first time period acquired in the step S220, determining the power consumption increment corresponding to the weather data by matching with the pre-stored historical weather data. Interpolation or extrapolation is performed by using the relation model, and the electricity consumption increment is determined according to the characteristics of the actual weather data.

S340, determining a second electric quantity according to the electricity consumption pre-measurement and the electricity consumption increment.

According to the electricity consumption prediction amount in the first time period and the determined electricity consumption increment, the predicted electricity consumption in the first time period and the electricity consumption increment are added or subtracted, a calculation mode is determined according to specific conditions, and then the second electricity consumption is obtained. In the implementation process, the quality and reliability of the data are ensured, a proper statistical and analysis method is selected to establish a relation model, and the prediction result is reasonably verified according to the actual situation. In addition, it is also necessary to continuously monitor the change of weather data and electricity consumption data, and update and optimize the model according to new data, so as to improve the accuracy and adaptability of the prediction.

By acquiring the weather data of the first time period and considering the influence of weather on the electricity consumption, the electricity consumption of the second time period can be predicted more accurately. Under different weather conditions, the energy consumption of the electric equipment may have difference, and the electric consumption can be corrected and predicted according to the weather data by combining the electric consumption increment corresponding to the actual weather data and the historical weather data.

S130, judging whether the first electric quantity is smaller than the second electric quantity, and if the first electric quantity is smaller than the second electric quantity, determining a first predicted power supply quantity of the first power generation group.

When the first electric quantity is smaller than the second electric quantity, the stored electric quantity of the energy storage device is indicated to be smaller than the required electric quantity of electric equipment connected with the energy storage device, and the first power generation group is required to supply power to the energy storage device so as to meet the power consumption requirement of the electric equipment. In this embodiment, the first power generation group is preferably a solar power generation group or a wind power generation group, which generates power by using clean energy, and the first power generation group is hereinafter exemplified as a solar power generation group.

First, historical weather data and power supply amount data relating to solar power generation are collected. Such data may include the intensity of sunlight, temperature, wind speed, etc. weather parameters per hour or day, and the actual power supply of the corresponding solar power generation group. And then cleaning and preprocessing the collected data. This may include removing outliers, filling in missing values, smoothing the data, etc. Ensuring that the data quality is accurate and consistent. Useful features are then extracted from the historical weather data. For example, the average sunlight intensity per day, the temperature variation range, the variance of wind speed, etc. may be calculated. Time-dependent features such as season, sunrise and sunset time, etc. may also be considered. The data set is divided into a training set and a test set. Most of the data can typically be used to train the model, leaving a portion of the data available for evaluating the performance of the model. A predictive model is then selected that is appropriate for the problem. Common models include linear regression, support vector regression, decision trees, random forests, neural networks, and the like. And selecting a proper model according to the characteristics and the scale of the data, and performing model training by using a training set. The performance of the model was evaluated using the test set. Common evaluation criteria include Root Mean Square Error (RMSE), mean Absolute Error (MAE), etc. Evaluating the performance of the model can help you know the accuracy and reliability of the predictions. And establishing a corresponding relation between the historical weather data and the historical power supply quantity by using the trained model pair.

And in actual application, according to the weather data in the second time period, historical weather data with highest similarity is selected from the database. Since the weather data includes weather parameters such as sunlight intensity, temperature, wind speed, etc., the historical weather data also includes a plurality of historical weather parameters. Therefore, different weather parameters can be converted into vectors with different dimensions, and the specific different weather parameters are worth of the vectors with different sizes. When the similarity of the weather data and the historical weather data is calculated, the similarity of different weather parameters and the historical weather parameters is calculated first, and the cosine similarity between the weather parameters of the same type and the historical weather parameters is calculated. The cosine similarity is the cosine value of the included angle between the two vectors, which is between-1 and 1, and the closer the cosine similarity is to 1, the higher the similarity between the weather parameter and the historical weather parameter is. For example, after converting the temperature data and the historical temperature data into vectors, if the temperature values of the two temperature data are closer, the corresponding cosine similarity is closer to 1, and the similarity is higher.

Further, after the similarity of the weather parameters of different types and the historical weather parameters is obtained, the similarity of the weather parameters is weighted according to the weight set in advance, and an average value is obtained, so that the similarity of the weather data and the historical weather data is obtained. In this embodiment, the specific calculation process of the similarity of the weather data is only a conventional technical means in the related technical field, and will not be further described herein.

By considering the similarity of the weather data, the corresponding target power supply amount can be obtained according to the target weather data which is most similar to the current weather data in the historical weather data. This may improve the accuracy of the prediction of the amount of power supplied during the second time period, especially in case of seasonal, weather-related variations. By selecting the historical power supply amount corresponding to the target weather data most similar to the current weather data, the power supply amount for the first period can be estimated more accurately.

After the similarity between the weather data and the target weather data is calculated according to the method, whether the similarity is larger than a preset threshold value is judged, wherein the target weather data is any one of a plurality of historical weather data. If the similarity is larger than a preset threshold, the weather data is higher in similarity with the target weather data, and the target power supply quantity corresponding to the target weather data is obtained. However, the power supply duration of the target power supply amount may be different from the duration of the second time period, and when the power supply amount in unit time is required to be calculated according to the power supply duration corresponding to the target power supply amount, and then the power supply amount in unit time is multiplied by the duration of the second time period, the predicted power supply amount in the second time period, that is, the first predicted power supply amount, can be obtained.

And determining a first predicted power supply quantity corresponding to the weather data in the second time period by acquiring the weather data and based on the relation of the historical data, so that the prediction accuracy of the power supply quantity can be improved, and the operation of the power generation group can be flexibly scheduled.

S140, judging whether the first predicted power supply quantity is larger than or equal to the power storage difference value.

The electricity storage difference value is the difference value between the first electric quantity and the second electric quantity, the first electric quantity is the current actual electricity storage quantity of the energy storage device, and the second electric quantity is the electricity quantity which is needed to be used by the electric equipment connected with the energy storage device in the predicted first time period. If the first electric quantity is larger than or equal to the second electric quantity, the electric quantity reserved by the energy storage device is enough to be used by the electric equipment in the first time period, and power supply equipment is not needed to supply power. If the first electric quantity is smaller than the second electric quantity, the electric quantity reserved by the energy storage device is indicated to be insufficient for the electric equipment to be used in the first time period, and the power supply device is required to supply power. And subtracting the first electric quantity from the second electric quantity to obtain a power storage difference value.

And S150, if the first predicted power supply quantity is greater than or equal to the power storage difference value, a power supply instruction is sent to the first power generation group so that the first power generation group supplies power to the energy storage equipment.

In the above step, a first predicted power supply amount, which is the total amount of power that the first power generation group can supply in the second period of time, is calculated. If the first predicted power supply quantity is larger than the power storage difference value, the first predicted power supply quantity plus the first power quantity is larger than or equal to the second power quantity, which indicates that the actual power storage quantity of the power storage equipment and the first power generation group provide power in the second time period, and enough power utilization equipment is used in the first time period, and only the first power generation group is required to work. And the server sends a first power supply instruction to the first power generation resistor so that the first power generation group supplies power to the power storage equipment. Where instructions are instructions and commands directing the operation of the power plant, it is understood that code specifying certain controls to perform certain operations or functional implementations is provided.

The server judges whether the electric quantity stored by the power storage equipment can be used by the electric equipment or not according to the actual electric quantity of the energy storage equipment, namely the first electric quantity, and the electric quantity required by the electric equipment, namely the second electric quantity. Under the condition of insufficient reserved electric quantity, the server judges whether the electric quantity provided by the first power generation group is sufficient to supplement the electric storage difference value according to the electric storage difference value of the first electric quantity and the second electric quantity. And if the first power generation group is determined to be capable of providing enough electric quantity to supplement the electric storage difference value, sending a first power supply instruction to the first power generation group so that the first power generation group supplies power to the electric storage equipment. The system automatically decides whether power supply of the power generation group and adjustment of the power supply amount are needed or not by judging the relation between the first electric quantity and the second electric quantity. The automatic judging and controlling capability enables the energy storage equipment to make an intelligent decision according to actual conditions and respond to the change of the demand of the electric equipment in real time, so that the effect of intelligent management on the power supply of the energy storage equipment is achieved.

Further, if the first predicted power supply amount is smaller than the power storage difference value, other power generation groups are required to further supply power to the power storage equipment so as to meet the power utilization requirement of the electric equipment. Firstly, calculating a power supply difference value according to a first predicted power supply quantity and a power storage difference value. And because the electricity storage difference value is larger than the first predicted power supply quantity, subtracting the first predicted power supply quantity from the electricity storage difference value to obtain a power supply difference value, namely the electric quantity which is at least required to be provided for the electricity storage equipment by other power generation groups.

And if the second power generation group connected with the power storage equipment does not work, the server sends a second power supply instruction to the second power generation group. The second power generation group is a conventional power generation group, typically referred to as a conventional fossil fuel power plant. These power generation groups generally use fossil fuels such as petroleum, coal, natural gas and the like as fuels, generate heat energy through combustion, convert the heat energy into mechanical energy, and finally drive a generator to generate electric energy. And the power generation of the conventional power generation group is not influenced by weather, and the power generation amount can be controlled in detail. The server sends a second power supply instruction to the second power generation group so that the second power generation group provides a second predicted power supply amount, and the second predicted power supply amount is larger than the power supply difference value. And the electric quantity provided by the first power generation group and the second power generation group and the actual electric quantity stored by the energy storage equipment are larger than or equal to the electric quantity required by electric equipment. When the electricity storage quantity of the electricity storage equipment is insufficient for the electric equipment to use, the electricity is preferentially supplied through the first power generation group, and the pollution to the environment can be reduced by adopting the clean energy power generation group. And when the power supply quantity of the first power generation group cannot meet the use requirement of the electric equipment, the second power generation group supplies power, so that the power utilization requirement of the electric equipment is met.

By comparing the first predicted power supply amount with the power storage difference value, whether the energy storage device can meet the requirements of electric equipment can be judged. If the first predicted power supply amount is smaller than the power storage difference value, a power supply gap exists, and additional power supply amount needs to be acquired from the second power generation group to supplement. Therefore, the electric quantity stored by the energy storage equipment can be ensured to meet the actual requirements of electric equipment.

The embodiment also discloses a control device of an energy storage device, where the device is a server, referring to fig. 4, and includes an obtaining module 401, a calculating module 402, a judging module 403, and a sending module 404, where:

the obtaining module 401 is configured to obtain a first electric quantity of the energy storage device.

The calculation module 402 is configured to determine a second amount of power that needs to be used by the electrical device in the first period, where the electrical device is connected to the energy storage device.

The determining module 403 is configured to determine whether the first electric quantity is smaller than the second electric quantity, and if the first electric quantity is smaller than the second electric quantity, determine a first predicted power supply quantity of the first power generation group.

The determining module 403 is configured to determine whether the first predicted power supply amount is greater than or equal to a power storage difference, where the power storage difference is a difference between the first power amount and the second power amount.

And the sending module 404 is configured to send a first power supply instruction to the first power generation group if the first predicted power supply amount is greater than or equal to the power storage difference value, so that the first power generation group supplies power to the energy storage device.

In a possible implementation manner, the obtaining module 401 is configured to obtain weather data of a second period, where the second period is a period from a current time to a time when the first period starts.

The calculating module 402 is configured to determine, according to the weather data, a first predicted power supply amount in a second period of time based on a correspondence between the historical weather data and the historical power supply amount.

In one possible implementation, the calculating module 402 is configured to calculate a similarity between weather data and target weather data, where the target weather data is any one of a plurality of historical weather data.

A determining module 403, configured to determine whether the similarity is greater than a preset threshold.

The obtaining module 401 is configured to obtain a target power supply amount corresponding to the target weather data if the similarity is greater than a preset threshold, where the target power supply amount is a historical power supply amount corresponding to the target weather data in the plurality of historical power supply amounts.

The calculating module 402 is configured to determine a first predicted power supply amount according to the second time period and a power supply duration corresponding to the target power supply amount.

In one possible implementation manner, the obtaining module 401 is configured to obtain a plurality of pre-stored historical electricity consumption data, where the plurality of historical electricity consumption data is data of historical electricity consumption of the electric device.

The acquiring module 401 is configured to acquire historical electricity duration data corresponding to each historical electricity duration data.

The calculating module 402 is configured to determine a power consumption amount per unit time of the electric device based on the plurality of historical power consumption data and the historical power consumption duration data.

The calculation module 402 is configured to predict the second power amount based on the power consumption amount per unit time and the first period.

In one possible implementation, the calculation module 402 is configured to determine the predicted amount of electricity consumption for the first period of time based on the amount of electricity consumption per unit time and the first period of time.

The acquiring module 401 is configured to acquire weather data of a first period.

The calculating module 402 is configured to determine an electricity consumption increment corresponding to the weather data according to a correspondence between a plurality of pre-stored historical weather data and pre-stored electricity consumption increments.

A calculation module 402 is configured to determine a second power level based on the power consumption prediction and the power consumption increment.

In one possible implementation, the calculating module 402 is configured to determine the power supply difference value according to the first predicted power supply amount and the power storage difference value if the first predicted power supply amount is less than the power storage difference value.

And the sending module 404 is configured to send a second power supply instruction to the second power generation group according to the power supply difference value, so that the second power generation group provides a second predicted power supply amount to the energy storage device, where the second predicted power supply amount is greater than or equal to the power supply difference value.

It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.

The embodiment also discloses an electronic device, referring to fig. 5, the electronic device may include: at least one processor 501, at least one communication bus 502, a user interface 503, a network interface 504, at least one memory 505.

Wherein a communication bus 502 is used to enable connected communications between these components.

The user interface 503 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 503 may further include a standard wired interface and a standard wireless interface.

The network interface 504 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.

Wherein the processor 501 may include one or more processing cores. The processor 501 connects various parts throughout the server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 505, and invoking data stored in the memory 505. Alternatively, the processor 501 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 501 may integrate one or a combination of several of a central processor 501 (Central Processing Unit, CPU), an image processor 501 (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 501 and may be implemented by a single chip.

The Memory 505 may include a random access Memory 505 (Random Access Memory, RAM), or may include a Read-Only Memory 505. Optionally, the memory 505 comprises a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 505 may be used to store instructions, programs, code sets, or instruction sets. The memory 505 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described various method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 505 may also optionally be at least one storage device located remotely from the processor 501. As shown, an operating system, a network communication module, a user interface 503 module, and an application program of a control method of an energy storage device may be included in the memory 505 as a computer storage medium.

In the electronic device shown in fig. 5, the user interface 503 is mainly used for providing an input interface for a user, and acquiring data input by the user; and the processor 501 may be used to invoke an application in the memory 505 that stores a method of controlling an energy storage device, which when executed by the one or more processors 501, causes the electronic device to perform the method as in one or more of the embodiments described above.

It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of 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.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory 505. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory 505, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. Whereas the aforementioned memory 505 includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.

The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims

1. A method for controlling an energy storage device, the method being applied to a server and comprising:

acquiring a first electric quantity of energy storage equipment;

2. The method for controlling an energy storage device according to claim 1, wherein determining the first predicted power supply amount of the first power generation group specifically includes:

3. The method for controlling an energy storage device according to claim 2, wherein the determining the first predicted power supply amount in the second period of time according to the weather data specifically includes:

Judging whether the similarity is larger than a preset threshold value or not;

4. The method for controlling an energy storage device according to claim 1, wherein the determining the second amount of power to be used by the consumer in the first period of time specifically includes:

5. The method according to claim 4, wherein predicting the second electric quantity based on the electric quantity used per unit time and the first period of time, specifically comprises:

acquiring weather data of the first time period;

6. The method according to claim 1, wherein after said determining whether the first predicted amount of power is greater than or equal to a power storage difference value, the method further comprises:

7. The method of claim 6, wherein the first power generation group is a clean energy power generation group including a solar power generation group and a wind power generation group;

8. The control device of the energy storage equipment is characterized by being a server and comprising an acquisition module (401), a calculation module (402), a judgment module (403) and a sending module (404), wherein:

the acquisition module (401) is used for acquiring a first electric quantity of the energy storage device;

the computing module (402) is used for determining second electric quantity required to be used by electric equipment in a first time period, and the electric equipment is connected with the energy storage equipment;

the judging module (403) is configured to judge whether the first electric quantity is smaller than the second electric quantity, and if the first electric quantity is smaller than the second electric quantity, determine a first predicted power supply amount of a first power generation group;

the judging module (403) is configured to judge whether the first predicted power supply amount is greater than or equal to a power storage difference value, where the power storage difference value is a difference value between the first power quantity and the second power quantity;

the sending module (404) is configured to send a first power supply instruction to the first power generation group if the first predicted power supply amount is greater than or equal to the power storage difference value, so that the first power generation group supplies power to the energy storage device.

9. An electronic device comprising a processor (501), a memory (505), a user interface (503) and a network interface (504), the memory (505) for storing instructions, the user interface (503) and the network interface (504) each for communicating with other devices, the processor (501) for executing the instructions stored in the memory (505) to cause the electronic device to perform the method of any of claims 1-7.

10. A computer readable storage medium storing instructions which, when executed, perform the method of any one of claims 1-7.