Multi-element micro-grid energy optimization scheduling and management system and method applied to oil field

Abstract

The invention discloses a multi-element micro-grid energy optimization scheduling and management system and method applied to an oil field, and relates to the technical field of energy optimization scheduling and management. The system comprises a micro-grid data acquisition module used for acquiring data of a micro-grid; the data preprocessing module is used for preprocessing data; the micro-grid regulation and control module is used for analyzing and processing the preprocessed data, obtaining an analysis result and regulating and controlling the micro-grid according to the analysis result so as to realize real-time balance of the micro-grid power, and the real-time balance of the micro-grid power is that the analysis result is equal to the total power generation power of the power generation equipment; and the report feedback module is used for generating a report according to the analysis result and the regulation and control mode for regulating and controlling the micro-grid according to the analysis result, and displaying and feeding back the report. Through the system provided by the invention, the micro-grid can be regulated and controlled according to the multi-element micro-grid power transmission power, real-time power balance is realized, and the operation stability and reliability of the micro-grid are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy optimization scheduling and management, and particularly relates to a multi-source microgrid energy optimization scheduling and management system and method for oilfield applications. Background Art

[0002] An oilfield is a typical distributed energy system, and its production equipment requires a large amount of power supply. However, due to the remote location of the oilfield, the power supply from the main grid is unstable, and problems such as voltage fluctuations and power outages are likely to occur, affecting the normal production and safe operation of the oilfield. To solve the problem of unstable power supply from the main grid, diesel generators are usually used as backup power sources in oilfields. However, diesel generators have disadvantages such as high cost, high noise, and serious pollution, which are not conducive to energy conservation, emission reduction, and sustainable development of oilfields.

[0003] Existing intelligent centralized control systems mainly target microgrids of single or a few types of energy, lacking comprehensive consideration and adaptability to multi-source microgrids, and cannot effectively solve problems such as energy complementarity, energy storage configuration, and load distribution in multi-source microgrids. Nor can they make full use of renewable energy resources in multi-source microgrids, reducing the operating efficiency and benefits of multi-source microgrids. Summary of the Invention

[0004] In view of the above problems, embodiments of the present invention provide a multi-source microgrid energy optimization scheduling and management system and method for oilfield applications, so as to overcome or at least partially solve the above problems.

[0005] In a first aspect, embodiments of the present invention propose a multi-source microgrid energy optimization scheduling and management system for oilfield applications, and the system includes:

[0006] A microgrid data acquisition module for acquiring data of the microgrid;

[0007] A data preprocessing module for preprocessing the data;

[0008] A microgrid regulation and control module for analyzing and processing the data after the preprocessing is completed, obtaining an analysis result, and regulating and controlling the microgrid according to the analysis result to achieve real-time power balance of the microgrid, where the real-time power balance of the microgrid means that the analysis result is equal to the total power generation of the power generation equipment;

[0009] A report feedback module for generating a report on the analysis result and the regulation and control method for regulating and controlling the microgrid according to the analysis result, and displaying and feeding back the report.

[0010] Optionally, the microgrid data acquisition module includes:

[0011] A sensor unit for monitoring system parameters of the microgrid, where the system parameters include voltage, current, power, operating time, and temperature;

[0012] A data collector for collecting the data according to the system parameters;

[0013] A communication unit for communicating with a remote monitoring system using wireless communication technology to achieve real-time monitoring of the data, where the wireless communication technology includes one or more of WIFI, Bluetooth, 4G, 5G, and Zigbee.

[0014] Optionally, the data preprocessing module includes:

[0015] A data cleaning unit for cleaning the data;

[0016] A data integration and conversion unit for storing the cleaned data and performing normalization processing on the cleaned data;

[0017] A data reduction unit for reducing the data after normalization processing and determining the data after completion of the reduction as the data after completion of the preprocessing.

[0018] Optionally, the microgrid regulation module includes:

[0019] A data analysis unit for analyzing and processing the data after completion of the preprocessing and obtaining an analysis result;

[0020] An equilibrium regulation unit for regulating the microgrid according to the analysis result to achieve real-time power balance.

[0021] Optionally, the report feedback module includes:

[0022] A report generation unit for generating the report from the analysis result and the regulation method;

[0023] A feedback unit for displaying and feeding back the report.

[0024] In a second aspect, an embodiment of the present invention proposes a method for optimizing the scheduling and management of a multi-source microgrid energy for oilfield applications, which is applied to the multi-source microgrid energy optimization scheduling and management system for oilfield applications according to any one of the first aspects of the embodiments of the present invention. The method includes:

[0025] Collecting data of the microgrid;

[0026] Preprocessing the data;

[0027] Analyzing and processing the data after completion of the preprocessing and obtaining an analysis result;

[0028] Adjust the microgrid according to the analysis result to achieve real-time power balance of the microgrid, where the real-time power balance of the microgrid means that the analysis result is equal to the total power generation of the power generation equipment;

[0029] Generate a report on the analysis result and the control method for adjusting the microgrid according to the analysis result, and display and feedback the report.

[0030] Optionally, collecting data of the microgrid includes:

[0031] Monitoring system parameters of the microgrid, where the system parameters include voltage, current, power, operating time, and temperature;

[0032] Collect the data according to the system parameters.

[0033] Optionally, preprocessing the data includes:

[0034] Clean the data;

[0035] Store the cleaned data and normalize the cleaned data;

[0036] Standardize the data after normalization, and determine the data after completing the standardization as the data after completing the preprocessing.

[0037] Optionally, the method further includes:

[0038] Communicate with a remote monitoring system using wireless communication technology to achieve real-time monitoring of the data.

[0039] Optionally, the wireless communication technology includes:

[0040] One or more of WIFI, Bluetooth, 4G, 5G, and Zigbee.

[0041] Advantages of the present invention:

[0042] The multi - microgrid energy optimization scheduling and management system for oilfield applications provided by the present invention collects data of the microgrid, pre - processes the data, analyzes and processes the pre - processed data to obtain an analysis result, and controls the microgrid according to the analysis result to achieve real - time power balance of the microgrid. It generates a report on the analysis result and the control method for controlling the microgrid according to the analysis result, and displays and feeds back the report. Through the system provided by the present invention, the microgrid can be controlled according to the transmission power of the multi - microgrid, real - time power balance can be achieved, thereby improving the operation stability and reliability of the microgrid. At the same time, the usage time and mode of energy can be reasonably arranged, energy waste can be reduced, and energy consumption costs can be lowered. By controlling the microgrid, it can be flexibly configured according to different production requirements, meet the diversification of energy supply for oilfield production, and enhance the flexibility of the microgrid. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the modules of a multi - microgrid energy optimization scheduling and management system proposed in an embodiment of the present invention;

[0044] Figure 2 It is a schematic diagram of the modules of a multi - microgrid energy optimization scheduling and management system proposed in another embodiment of the present invention;

[0045] Figure 3 It is a flowchart of the steps of a multi - microgrid energy optimization scheduling and management method proposed in an embodiment of the present invention;

[0046] Figure 4 It is a flowchart of the steps of a multi - microgrid energy optimization scheduling and management method proposed in another embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] The following will illustrate the embodiments of the present invention with reference to the drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, rather than for limiting the protection scope of the present invention.

[0048] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and proportion of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0049] In a first aspect, an embodiment of the present invention provides a multi - microgrid energy optimization scheduling and management system for oilfield applications, as Figure 1 shown Figure 1 is a schematic diagram of the modules of a multi - microgrid energy optimization scheduling and management system proposed in an embodiment of the present invention. The system includes:

[0050] A microgrid data acquisition module for acquiring data of the microgrid.

[0051] In this embodiment, the data of the microgrid includes voltage, current, power, working time, and temperature parameters. The data acquired by the microgrid data acquisition module can be used for data analysis or communicated with a remote monitoring system through wireless communication technology to transmit data, so that the staff can monitor the load situation of the microgrid in real time and can discover and adjust the energy supply and storage situation in a timely manner.

[0052] A data pre - processing module for pre - processing the data.

[0053] In this embodiment, after the data of the microgrid is acquired, the data pre - processing module is required to pre - process the acquired data.

[0054] Specifically, the pre - processing can be carried out in the following ways and steps:

[0055] Data cleaning: The purpose of data cleaning is to remove incomplete, inaccurate, or abnormal data, such as missing values, duplicate values, error values, etc. These data may have a negative impact on the accuracy of data analysis;

[0056] Data formatting: Since the acquired data may come from different devices or sensors and their formats may vary, data pre - processing is required to convert these different - formatted data into a unified format for subsequent data analysis and processing;

[0057] Data normalization: The data of the microgrid is usually affected by dimensions. Data with different dimensions may need to be normalized to eliminate the influence of dimensions on data analysis;

[0058] Data interpolation: For some missing data points, interpolation methods can be used to fill them, making the data more continuous and complete;

[0059] Data classification or grouping: According to the characteristics of the data, the data can be classified or grouped. For example, the data can be grouped according to voltage levels for subsequent data analysis and processing;

[0060] Data compression: For some redundant data, compression can be carried out to save storage space and improve data processing efficiency;

[0061] Data feature extraction: As needed, useful features can be extracted from the original data, such as the maximum value, minimum value, average value, variance, etc. These features can better reflect the essence of the data.

[0062] The microgrid regulation module is used to analyze and process the data after the preprocessing is completed, and obtain an analysis result. According to the analysis result, the microgrid is regulated to achieve real-time power balance of the microgrid. The real-time power balance of the microgrid means that the analysis result is equal to the total power generation of the power generation equipment.

[0063] In this embodiment, after the preprocessing of the data is completed, the microgrid regulation module analyzes the data after the preprocessing is completed.

[0064] Specifically, the microgrid regulation module will first conduct in-depth analysis and processing on the data after the preprocessing is completed. In this process, various algorithms and models can be used, such as time series analysis, machine learning, neural networks, etc., in order to extract useful information from the data; after the analysis and processing are completed, the microgrid regulation module will obtain an analysis result, which can be a description of the operating state of the microgrid, such as the total power generation of the power generation equipment, the operating states of each device, the power demand, etc. In this embodiment, considering that there will be losses in the power transmission process of the microgrid, the analysis result obtained by the microgrid regulation module is the analysis result of the actual output power of the microgrid, that is, the output electric power of the microgrid.

[0065] Then, the microgrid regulation module will regulate the microgrid according to this analysis result. This can include the control of power generation equipment, the control of energy storage equipment, and the control of power consumption equipment, etc. For example, if the analysis result shows that the total power generation of the microgrid is greater than the power demand, then the regulation module may reduce the power output of some power generation equipment to achieve the real-time power balance of the microgrid. In this process, the goal of the microgrid regulation module is to ensure the stable operation of the microgrid as much as possible, while avoiding the situation of excess or insufficient electric energy. In this way, the microgrid can operate more efficiently and reliably, thereby providing better power services for users.

[0066] The report feedback module is used to generate a report on the analysis result and the regulation method for regulating the microgrid according to the analysis result, and display and feedback the report.

[0067] In this embodiment, the main function of the report feedback module is to generate a report on the analysis result and the regulation method for regulating the microgrid according to the analysis result, and display and feedback this report.

[0068] Specifically, first, the report feedback module generates a detailed report based on the analysis results and control methods of the microgrid control module. This report includes information such as the current operating status of the microgrid, the total power generation of the power generation equipment, the operating status of each device, the power demand, etc., as well as the control methods and results based on this information; then, the report feedback module displays this report so that users can intuitively understand the operating status and control situation of the microgrid. Usually, this report is presented in the form of charts, data, etc., making it easier for users to understand; in addition, the report feedback module also feeds back the report to the microgrid control module so that the control module can make adjustments and optimizations based on the feedback information. For example, if the report shows that the total power generation of the microgrid is greater than the power demand, then the control module may further reduce the power output of some power generation equipment according to the feedback information to achieve real-time power balance of the microgrid; in this way, the report feedback module can help users better understand the operating status and control situation of the microgrid, and at the same time help the control module make adjustments and optimizations based on the feedback information, further improving the operating efficiency and stability of the microgrid.

[0069] Through the system provided by this embodiment, the voltage, current, power, working time and temperature parameters of the microgrid can be monitored in real time. According to the multi-source microgrid transmission power, the microgrid is regulated to achieve real-time power balance. By monitoring the load situation of the microgrid in real time, the supply and storage of energy can be discovered and adjusted in time, so that the energy utilization efficiency in the microgrid is maximally improved, and the energy utilization rate is increased. By regulating the microgrid, real-time power balance can be achieved, thereby improving the operating stability and reliability of the microgrid. By monitoring the working time and temperature parameters of the microgrid in real time, the use time and mode of energy can be reasonably arranged, energy waste can be reduced, and the energy consumption cost can be lowered. By regulating the microgrid, flexible configuration can be carried out according to different production requirements, meeting the diversification of energy supply for oilfield production and enhancing the flexibility of the microgrid.

[0070] Optionally, as Figure 2 shown, Figure 2 is a schematic diagram of the modules of a multi-source microgrid energy optimization scheduling and management system proposed in another embodiment of the present invention. The microgrid data acquisition module includes:

[0071] A sensor unit for monitoring the system parameters of the microgrid, and the system parameters include voltage, current, power, operating time and temperature.

[0072] In this embodiment, by using the sensor unit to detect the system parameters of the microgrid in real time, problems occurring in the microgrid system can be discovered in time, ensuring the stable operation of the system.

[0073] A data collector for collecting the data according to the system parameters.

[0074] In this embodiment, through the data collector, the system parameters of the microgrid detected by the sensor can be collected in real time and data can be formed. This data includes voltage, current, power, working time, and temperature parameters. The collected data can be used for data analysis or communicated with the remote monitoring system through wireless communication technology to transmit the data.

[0075] A communication unit for communicating with the remote monitoring system using wireless communication technology to achieve real-time monitoring of the data, where the wireless communication technology includes one or more of WIFI, Bluetooth, 4G, 5G, and Zigbee.

[0076] In this embodiment, communication can be carried out with the remote monitoring system through the communication unit, and the wireless communication technology used by the communication unit includes one or more of WIFI, Bluetooth, 4G, 5G, and Zigbee.

[0077] Specifically, in this embodiment, by real-time monitoring the data situation of the microgrid, the supply and storage of energy can be discovered and adjusted in a timely manner, so that the energy utilization efficiency in the microgrid is maximally improved, the energy utilization rate is increased, and real-time monitoring of the data and wireless communication can be used to more flexibly monitor the microgrid and improve communication security.

[0078] Optionally, as Figure 2 shown, the data preprocessing module includes:

[0079] A data cleaning unit for cleaning the data.

[0080] In this embodiment, the purpose of data cleaning is to remove incomplete, inaccurate, or abnormal data, such as missing values, duplicate values, error values, etc. These data may have a negative impact on the accuracy of data analysis.

[0081] A data integration and conversion unit for storing the cleaned data and performing normalization processing on the cleaned data.

[0082] In this embodiment, the data of the microgrid is usually affected by dimensions, and data with different dimensions may need to be normalized to eliminate the influence of dimensions on data analysis.

[0083] Specifically, normalization generally maps the data to a specified range to remove the dimensions and dimension units of different-dimensional data. Common mapping ranges are [0,1] and [-1,1], and the most common normalization method is Min-Max normalization, also known as deviation standardization, which is a linear transformation of the original data to map the result value to between [0-1]. The conversion function is as follows:

[0084]

[0085] Among them, X new is the normalized data, X is the data before normalization, X max is the maximum value of the data before normalization, X min is the minimum value of the data before normalization.

[0086] The data reduction unit is used to reduce the data after normalization processing and determine the data after the reduction as the data after the preprocessing.

[0087] In this embodiment, reduction refers to reducing the complexity of data by reducing the amount of data or reducing the dimension. By using Classical Multidimensional Scaling, the data in the high-dimensional space coordinates is projected into the low-dimensional space while keeping the similarity between the data as unchanged as possible.

[0088] Specifically, the data preprocessing module includes a data cleaning unit, a data integration and conversion unit, and a data reduction unit. The data cleaning unit is used to clean the collected data. The data integration and conversion unit is used to merge data from different sources into a unified data storage and perform normalization processing on the data. The data reduction unit is used to reduce the complexity of data by reducing the amount of data or reducing the dimension.

[0089] In this embodiment, the data is cleaned, transformed, and normalized, removing outliers and error data, improving the accuracy of the data, handling missing values of the data, making the data more complete, standardizing the data, helping to maintain the consistency of the data, transforming the data, converting the data into a unified format, making data analysis more convenient. Preprocessing the data can remove error data, missing values, and noise data. Standardizing the data and converting the data format help to improve the accuracy and precision of data analysis.

[0090] Optionally, as Figure 2 shown, the microgrid regulation module includes:

[0091] The data analysis unit is used to analyze and process the data after the preprocessing and obtain an analysis result.

[0092] In this embodiment, the data analysis unit is used to analyze the microgrid data and calculate the output electric power of the microgrid:

[0093] P 输出 = UIcosθ - kAΔT / d

[0094] Among them, P 输出 is the output electric power, U is the voltage of the microgrid, I is the current of the microgrid, cosθ is the power factor of the microgrid and is a fixed value, k is the thermal conductivity of the microgrid material, A is the heat transfer area of the collected microgrid, ΔT is the working temperature difference of the microgrid, and d is the material thickness of the microgrid.

[0095] The balance control unit is used to control the microgrid according to the analysis result to achieve real-time power balance.

[0096] In this embodiment, the balance control unit is used to control the microgrid according to the analysis result to achieve real-time power balance, that is, P 输出 = P 微电网 Among them, P 输出 is the output electric power, and P 微电网 is the total power generation of the connected power generation equipment.

[0097] Specifically, the control method may include:

[0098] (1) Control based on the energy manager: The energy manager centrally controls all devices in the microgrid and achieves power balance through accurate load prediction, maximum power point tracking of power generation equipment, and charge and discharge control of energy storage devices.

[0099] (2) Distributed control: The control function is decentralized to each device in the microgrid to form a distributed control system. In this control mode, each device can make decisions based on its own status and surrounding environmental information, thereby achieving power balance of the microgrid.

[0100] In this control mode, calculate the adjustment factor according to the formula , where R is the adjustment factor of the device, ΔT is the temperature difference between the device temperature and the environment, t is the preset temperature influence factor, and the underpower of all devices P 总 = P 微电网 - P 输出 ;

[0101] Further calculate the power of the device after adjustment: Let the control system adjust the power of the device so that the total device power matches the microgrid power;

[0102] (3) PID control: Realize the real-time power balance of the microgrid by adjusting the power generation equipment, energy storage device, and load of the microgrid.

[0103] In the embodiments of the present invention, by analyzing the data of the microgrid and regulating the microgrid according to the output electric power and the electric power of the microgrid, real-time power balance can be achieved, thereby improving the operation stability and reliability of the microgrid. The control based on the energy manager is adopted: the energy manager centrally controls all devices in the microgrid and realizes power balance through accurate load prediction, maximum power point tracking of power generation devices, and charge and discharge control of energy storage devices; the distributed control is adopted: the control functions are dispersed to each device in the microgrid to form a distributed control system. In this control mode, each device can make decisions according to its own state and surrounding environmental information, so as to achieve the power balance of the microgrid; the PID control is adopted: the real-time power balance of the microgrid is achieved by adjusting the power generation devices, energy storage devices and loads of the microgrid.

[0104] Optionally, as Figure 2 shown, the report feedback module includes:

[0105] A report generation unit, configured to generate the report from the analysis result and the regulation method.

[0106] A feedback unit, configured to display and feedback the report.

[0107] In the embodiments of the present invention, the analysis results and the balance regulation methods are reported and displayed and feedback to the staff. Through the analysis of data, the essence and reasons of the problems can be understood more quickly, and the corresponding regulation methods can be determined. In this way, the decision-making process can be accelerated and the decision-making efficiency can be improved. The analysis results can help enterprises or organizations better understand their internal operations, so as to optimize resource allocation. By regularly analyzing the results and taking corresponding regulation methods, enterprises or organizations can continuously improve their business and processes and continuously enhance their competitiveness. Displaying the analysis results and regulation methods to employees and management can clarify the responsibilities and goals of each person and promote teamwork and cooperation.

[0108] Based on the same inventive concept, the embodiments of the present invention propose a method for optimizing the energy scheduling and management of a multi-source microgrid for oilfield applications, which is applied to the multi-source microgrid energy optimization scheduling and management system for oilfield applications according to any one of the first aspects of the embodiments of the present invention. As Figure 3 shown, Figure 3 is a step flow chart of a method for optimizing the energy scheduling and management of a multi-source microgrid proposed in an embodiment of the present invention. The method includes the following steps:

[0109] Step S1: Collect data of the microgrid.

[0110] In this embodiment, the data of the microgrid includes the voltage, current, power, working hours, and temperature parameters of each electrical device. The data collected by the microgrid data acquisition module can be used for data analysis or communicated with the remote monitoring system through wireless communication technology to transmit data, enabling staff to monitor the load situation of the microgrid in real time and promptly discover and adjust the energy supply and storage situation.

[0111] Step S2: Preprocess the data.

[0112] In this embodiment, after the data of the microgrid is collected, the data preprocessing module needs to preprocess the collected data.

[0113] Step S3: Analyze and process the data after the preprocessing is completed, and obtain the analysis result.

[0114] In this embodiment, analyze the microgrid data and calculate the output electric power of the microgrid:

[0115] P 输出 = UIcosθ - kAΔT / d

[0116] where, P 输出 is the output electric power, U is the voltage of the microgrid, I is the current of the microgrid, cosθ is the power factor of the microgrid and is a fixed value, k is the thermal conductivity of the microgrid material, A is the heat transfer area of the collected microgrid, ΔT is the working temperature difference of the microgrid, and d is the material thickness of the microgrid.

[0117] For example, if the collected voltage U of the microgrid is 360V, the current I of the microgrid is 20A, the power factor cosθ of the microgrid is 0.8, the thermal conductivity k of the microgrid material is 0.05, the collected heat transfer area A of the microgrid is 50, the working temperature difference ΔT of the microgrid is 40, and the material thickness d of the microgrid is 0.2, then:

[0118] P 输出 = UIcosθ - kAΔT / d = 360 * 20 * 0.8 - 0.05 * 50 * 40 / 0.2 = 5260.

[0119] Step S4: Regulate the microgrid according to the analysis result to achieve real-time power balance of the microgrid, and the real-time power balance of the microgrid means that the analysis result is equal to the total power generation of the power generation equipment.

[0120] In this embodiment, regulate the microgrid according to the analysis result to achieve the real-time power balance, that is, P 输出 = P 微电网 where, P 输出 is the output electric power, P 微电网The total power generation of the connected power generation equipment.

[0121] Specifically, the regulation method may include:

[0122] (1) Control based on the energy manager: The energy manager centrally controls all devices in the microgrid to achieve power balance through accurate load prediction, maximum power point tracking of power generation equipment, and charge and discharge control of energy storage devices.

[0123] (2) Distributed control: The control function is decentralized to each device in the microgrid to form a distributed control system. In this control mode, each device can make decisions based on its own status and surrounding environmental information, thereby achieving power balance in the microgrid.

[0124] In this regulation method, calculate the regulation factor according to the formula where R is the regulation factor of the device, ΔT is the temperature difference between the device temperature and the environment, t is the preset temperature influence factor, and the underpower of all devices P 总 = P 微电网 - P 输出 ;

[0125] Further calculate the power of the device after regulation: Let the control system adjust the power of the device so that the total device power matches the microgrid power.

[0126] For example: A microgrid contains 5 devices. A distributed control module is installed in each device. At a certain moment, the output powers of the 5 devices are measured to be 800W, 600W, 1000W, 1100W, and 500W respectively, the operating temperatures are 30°C, 40°C, 25°C, 30°C, and 45°C respectively, the temperature influence factors are all 10W / °C, the ambient temperature is 20°C, and the output electric power of the microgrid is 3000W. The control modules in the 5 devices simultaneously determine that the devices are in an underpower state and adjust their output powers according to their own output powers and ambient temperatures. According to the formula Obtain the underpower of all devices P 总 =(700 + 400 + 950 + 1000 + 350) / R = 3400 / R = 1000W, solve for the regulation factor R = 3.4. Through the distributed control system, according to the formula The output powers of the 5 devices after regulation are obtained as: 587.7W, 523.5W, 705.9W, 776.5W, and 452.9W respectively. By adjusting the output powers of the devices, P input = P microgrid can be achieved.

[0127] (3) PID control: Achieve real-time power balance in the microgrid by adjusting the power generation equipment, energy storage devices, and loads in the microgrid.

[0128] Step S5: Generate a report on the analysis result and the control method for controlling the microgrid according to the analysis result, and display and feedback the report.

[0129] In this embodiment, the analysis result and the balance control method are reported and displayed and fed back to the staff. By analyzing the data, the essence and cause of the problem can be understood more quickly, and the corresponding control method can be determined. This can speed up the decision-making process and improve the decision-making efficiency. The analysis result can help an enterprise or organization better understand its internal operations, so as to optimize resource allocation. By regularly analyzing the result and adopting the corresponding control method, the enterprise or organization can continuously improve its business and processes and continuously enhance its competitiveness. Displaying the analysis result and the control method to employees and management can clarify everyone's responsibilities and goals and promote teamwork and cooperation.

[0130] Optionally, the step S1 includes:

[0131] Step S11: Monitor the system parameters of the microgrid, where the system parameters include voltage, current, power, operating time, and temperature.

[0132] In this embodiment, by detecting the system parameters of the microgrid in real time, problems occurring in the microgrid system can be discovered in time to ensure the stable operation of the system.

[0133] Step S12: Collect the data according to the system parameters.

[0134] In this embodiment, the system parameters of the microgrid detected by the sensor can be collected in real time and form data. This data includes voltage, current, power, working time, and temperature parameters. The collected data can be used for data analysis or communicated with a remote monitoring system through wireless communication technology to transmit the data.

[0135] Specifically, in the embodiment of the present invention, by monitoring the voltage, current, power, working time, and temperature parameters of the microgrid in real time, and according to the multi-source microgrid transmission power, the microgrid is controlled to achieve real-time power balance. By monitoring the load condition of the microgrid in real time, the supply and storage of energy can be discovered and adjusted in time, so that the energy utilization efficiency in the microgrid is maximally improved, and the energy utilization rate is increased. By controlling the microgrid, real-time power balance can be achieved, thereby improving the operation stability and reliability of the microgrid. By monitoring the working time and temperature parameters of the microgrid in real time, the use time and mode of energy can be reasonably arranged to reduce energy waste and reduce energy consumption costs. By controlling the microgrid, it can be flexibly configured according to different production requirements to meet the diversification of energy supply for oilfield production and enhance the flexibility of the microgrid.

[0136] Optionally, the step S2 includes:

[0137] Step S21: Clean the data.

[0138] In this embodiment, the purpose of data cleaning is to remove incomplete, inaccurate or abnormal data, such as missing values, duplicate values, erroneous values, etc. These data may have a negative impact on the accuracy of data analysis.

[0139] Step S22: storing the cleaned data and normalizing the cleaned data.

[0140] In this embodiment, the data of the microgrid is usually affected by the dimension, and data of different dimensions may need to be normalized to eliminate the impact of the dimension on data analysis.

[0141] Specifically, normalization generally maps data to a specified range to remove the dimensions and dimensional units of data of different dimensions. Common mapping ranges are [0,1] and [-1,1]. The most common normalization method is Min-Max normalization, also known as deviation normalization, which is a linear transformation of the original data so that the resulting value is mapped to between [0-1]. The conversion function is as follows:

[0142]

[0143] Among them, X new is the normalized data, X is the data before normalization, and X max is the maximum value of the data before normalization, X min is the minimum value of the data before normalization.

[0144] Step S23: normalize the data after the normalization process, and determine the data after the normalization process as the data after the preprocessing process.

[0145] In this embodiment, reduction refers to reducing the complexity of data by reducing the amount of data or reducing the dimension, and classical multidimensional scaling is used to project data in high-dimensional space coordinates into low-dimensional space by keeping the similarity between data as unchanged as possible.

[0146] Specifically, by cleaning, transforming, and normalizing the data, outliers and incorrect data are removed, improving the accuracy of the data. Handling missing values in the data can make the data more complete. Standardizing the data helps maintain data consistency. Transforming the data can convert it into a unified format, making data analysis more convenient. Preprocessing the data can clear incorrect data, missing values, and noisy data. Standardizing the data and converting the data format help improve the accuracy and precision of data analysis.

[0147] Optionally, the method further includes:

[0148] Step S6: Communicate using wireless communication technology and a remote monitoring system to achieve real-time monitoring of the data.

[0149] In this embodiment, by real-time monitoring the data situation of the microgrid, the supply and storage of energy can be discovered and adjusted in a timely manner, thereby maximizing the energy utilization efficiency in the microgrid, improving energy utilization rate. Real-time monitoring of the data and wireless communication enable more flexible monitoring of the microgrid and enhance communication security.

[0150] Optionally, the wireless communication technology includes:

[0151] One or more of WIFI, Bluetooth, 4G, 5G, and Zigbee.

[0152] In this embodiment, the wireless communication technology for communicating with the remote monitoring system can be one or more of WIFI, Bluetooth, 4G, 5G, and Zigbee.

[0153] Specifically, wireless communication technology is a communication method that uses the characteristics of electromagnetic wave signals propagating in free space for information exchange. Common wireless communication technologies include short-distance wireless communication technology and long-distance wireless communication technology. Short-distance wireless communication technology includes Zigbee, which is a short-distance, low-power wireless communication technology based on the IEEE802.15.4 standard, usually with a transmission distance of 10 - 100m; long-distance wireless communication technology includes various wireless communication technologies based on communication protocols, such as Bluetooth, Wi-Fi, Zigbee, 4G, 5G, etc. These technologies are usually used for long-distance information transmission, for example, within the scope of homes, offices, cities, etc.

[0154] In another implementation, as Figure 4 shown, Figure 4 is the flowchart of the steps of a method for optimizing energy scheduling and management of a multi-source microgrid proposed in another embodiment of the present invention. The method includes the following steps:

[0155] Step S100: The microgrid data acquisition module collects the data information set of the microgrid. The data information set includes the voltage, current, grid power, operation time, and temperature of the microgrid, and wirelessly communicates with the remote monitoring system.

[0156] Step S200: Clean the collected data information set, merge data from different sources into a unified data storage, and perform normalization processing. Use the data reduction unit to reduce the data volume or dimensionality to reduce the data complexity.

[0157] Step S300: Analyze the collected microgrid data and regulate the microgrid according to the analysis results to achieve real-time power balance.

[0158] Step S400: Generate and display a report on the analysis results and regulation methods, and provide feedback to the staff.

[0159] Optionally, in another implementation, step S100 includes:

[0160] Step S101: Collect the data of the microgrid in real time. The microgrid data includes the voltage, current, grid power, operation time, and temperature of the microgrid.

[0161] Step S102: Connect the data acquisition module to the wireless communication module to achieve wireless communication. The wireless communication technologies used include WIFI, Bluetooth, 4G, 5G, and Zigbee.

[0162] Optionally, in another implementation, step S300 includes:

[0163] Step S301: Analyze the microgrid data and calculate the output electric power of the microgrid.

[0164] Step S302: Regulate the microgrid to achieve real-time power balance, that is, P 输出 = P 微电网 .

[0165] In this embodiment, by monitoring the voltage, current, power, working time, and temperature parameters of the microgrid in real time, and regulating the microgrid according to the transmission power of the multi-source microgrid, real-time power balance is achieved. By monitoring the load condition of the microgrid in real time, the supply and storage of energy can be discovered and adjusted in a timely manner, so that the energy utilization efficiency in the microgrid is maximally improved, and the energy utilization rate is increased. By regulating the microgrid, real-time power balance can be achieved, thereby improving the operation stability and reliability of the microgrid. By monitoring the working time and temperature parameters of the microgrid in real time, the usage time and mode of energy can be reasonably arranged, energy waste can be reduced, and the energy consumption cost can be lowered. By regulating the microgrid, flexible configuration can be performed according to different production requirements, the diversification of energy supply for oilfield production can be met, and the flexibility of the microgrid can be enhanced.

[0166] The embodiments in this specification are all described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other.

[0167] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the claims and their equivalents.

[0168] Finally, it should also be noted that in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or terminal device including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article, or terminal device. Without further limitation, an element defined by the statement "including an..." does not exclude the existence of additional identical elements in the process, method, article, or terminal device including the said element.

[0169] The above has introduced in detail the multi - source micro - grid energy optimization scheduling and management system and method for oilfield applications provided by the present invention. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application. The above embodiments are only preferred embodiments cited to fully illustrate the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or transformations made by those skilled in the art in this technical field on the basis of the present invention are within the protection scope of the present invention.

Claims

1. A multi - source micro - grid energy optimization scheduling and management system for oilfield applications, characterized in that, the system includes: A micro - grid data acquisition module for collecting data of the micro - grid; A data pre - processing module for pre - processing the data; A micro - grid regulation module for analyzing and processing the data after the pre - processing, obtaining an analysis result, and regulating the micro - grid according to the analysis result to achieve real - time power balance of the micro - grid, where the real - time power balance of the micro - grid means that the analysis result is equal to the total power generation of the power generation equipment; A report feedback module for generating a report on the analysis result and the regulation method for regulating the micro - grid according to the analysis result, and displaying and feeding back the report.

2. The system according to claim 1, characterized in that, the micro - grid data acquisition module includes: A sensor unit for monitoring system parameters of the micro - grid, where the system parameters include voltage, current, power, operation time, and temperature; A data collector for collecting the data according to the system parameters; A communication unit for communicating with a remote monitoring system using wireless communication technology to achieve real - time monitoring of the data, and the wireless communication technology includes one or more of WIFI, Bluetooth, 4G, 5G, and Zigbee.

3. The system according to claim 1, characterized in that, the data pre - processing module includes: A data cleaning unit for cleaning the data; A data integration and conversion unit for storing the cleaned data and normalizing the cleaned data; A data reduction unit for reducing the data after the normalization process and determining the data after the reduction as the data after the pre - processing.

4. The system according to claim 1, characterized in that, the micro - grid regulation module includes: A data analysis unit for analyzing and processing the data after the pre - processing and obtaining an analysis result; The analysis result is obtained through the formula P 输出 = UI cosθ - kAΔT / d; Among them, P 输出 is the output electric power, U is the voltage of the microgrid, I is the current of the microgrid, cosθ is the power factor of the microgrid and is a fixed value, k is the thermal conductivity of the microgrid material, A is the heat transfer area of the collected microgrid, ΔT is the working temperature difference of the microgrid, and d is the material thickness of the microgrid; A balance regulation unit for regulating the micro - grid according to the analysis result to achieve the real - time power balance; The regulation method is as follows: according to the formula calculate the adjustment factor, where R is the adjustment factor of the device, ΔT is the temperature difference between the device temperature and the environment, t is the preset temperature influence factor, and the underelectric power P of all devices 总 = P 微电网 - P 输出 ; Further calculate the adjusted power of the device: Let the control system adjust the power of the device so that the total power of the device matches the power of the microgrid.

5. The system according to claim 1, characterized in that, the report feedback module includes: A report generation unit for generating the report on the analysis result and the regulation method; A feedback unit for displaying and feeding back the report.

6. A multi - source micro - grid energy optimization scheduling and management method for oilfield applications, characterized in that, applied to the multi - source micro - grid energy optimization scheduling and management system for oilfield applications according to any one of claims 1 - 5, the method includes: Collecting data of the micro - grid; Pre - processing the data; Analyzing and processing the data after the pre - processing and obtaining an analysis result; The analysis result is obtained through the formula P 输出 = UI cosθ - kAΔT / d; Among them, P 输出 is the output electric power, U is the voltage of the microgrid, I is the current of the microgrid, cosθ is the power factor of the microgrid and is a fixed value, k is the thermal conductivity of the microgrid material, A is the heat transfer area of the collected microgrid, ΔT is the working temperature difference of the microgrid, and d is the material thickness of the microgrid; Regulating the micro - grid according to the analysis result to achieve real - time power balance of the micro - grid, where the real - time power balance of the micro - grid means that the analysis result is equal to the total power generation of the power generation equipment; The regulation method is as follows: According to the formula calculate the adjustment factor, where R is the adjustment factor of the device, ΔT is the temperature difference between the device temperature and the environment, t is the preset temperature influence factor, and the under-power of all devices P 总 = P 微电网 - P 输出 ; Further calculate the adjusted power of the device: Let the control system adjust the power of the device so that the total power of the device matches the power of the microgrid; Generating a report on the analysis result and the regulation method for regulating the micro - grid according to the analysis result, and displaying and feeding back the report.

7. The method according to claim 6, characterized in that, Collecting data of the microgrid, including: Monitoring system parameters of the microgrid, where the system parameters include voltage, current, power, operating time, and temperature; Collecting the data according to the system parameters.

8. The method according to claim 6, wherein, Preprocessing the data, including: Cleaning the data; Storing the cleaned data and performing normalization processing on the cleaned data; Regularizing the data after normalization processing and determining the data after completion of the regularization as the data after completion of the preprocessing.

9. The method according to claim 6, wherein, The method further includes: Communicating with a remote monitoring system using wireless communication technology to achieve real-time monitoring of the data.

10. The method according to claim 9, wherein, The wireless communication technology includes: One or more of WIFI, Bluetooth, 4G, 5G, and Zigbee.

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