An intelligent group control and regulation system for oil well platforms powered by a multi-source microgrid

Abstract

The present invention relates to the technical field of optimized control of pumping units, and specifically discloses an intelligent group control and regulation system for oil well platforms powered by a multi-source microgrid. The system includes a power supply unit, a load unit, a data acquisition unit, an access unit, a data storage unit, and an intelligent control unit; the access unit is connected to the power supply unit and the load unit to control the number of connected load units; the power supply unit, the load unit, the data acquisition unit, the access unit are communicatively connected to the intelligent control unit. The intelligent control unit intelligently adjusts the load parameters by analyzing the power supply parameters and load parameters, and controls the access unit to adjust the number of connected load units according to the selected control mode. The intelligent group control and regulation system for oil well platforms powered by a multi-source microgrid of the present invention integrates multiple operation modes, and by intelligently controlling the load parameters, it can reduce energy consumption and save energy while ensuring production, and at the same time has an intermittent pumping function.

Description

Technical Field

[0001] The present invention relates to the technical field of optimized control of pumping units, and particularly to an intelligent group control and regulation system for oil well platforms powered by a multi-source microgrid. Background Art

[0002] In recent years, with the development of the oil and gas field, people have higher and higher requirements for oil well platforms. An oil well platform is a system with high automation and safety, and the stability of its power system and the reliability of power supply are the basis for ensuring the continuous operation of the platform. As one of the most widely used oil extraction equipment, the power consumption of pumping units accounts for about 40% of the total power consumption of the oil field; and since the starting torque of the motor required for the starting state of the pumping unit is not the same as the actual load of the pumping unit, it is about 3-4 times, or even more, of the actual load of the pumping unit; and applying a starting torque that is suitable means a poor match with the load, resulting in an increase in the power consumption of oil well pumping units during exploitation and serious power loss. The common DC bus group control technology connects multiple pumping units in series through a common DC bus. While meeting the technological parameters of oil field enterprises, it can make multiple pumping units generate electricity in reverse and share and recycle the generated electric energy, achieving cost reduction and efficiency increase in oil field production, having good economic effects, and at the same time improving the reliability of power supply.

[0003] At present, some research has been carried out on intelligent power supply systems and group control and regulation systems for oil well platforms. However, when dealing with multi-source microgrid power supply, these current systems have insufficient intelligence, a single operation mode, lack an intermittent pumping function, and the original control method of pumping units can no longer meet the carbon emission requirements under the new situation, and the energy-saving effect is poor. Therefore, it is urgent for those in this field to find a new technical solution to solve the above problems. Summary of the Invention

[0004] Aiming at the technical problems in the prior art, the present invention provides an intelligent group control and regulation system for oil well platforms powered by a multi-source microgrid, which integrates multiple operation modes to meet the production needs of the well site. By intelligently controlling the load parameters, it can reduce energy consumption and save energy while ensuring the output, and at the same time has an intermittent pumping function to solve problems such as stuck wells and wax deposition caused by long-term shut-in wells.

[0005] An intelligent group control and regulation system for oil well platforms powered by a multi - source micro - grid. The system includes a power supply unit, a load unit, a data acquisition unit, an access unit, a data storage unit, and an intelligent control unit. The power supply unit is used to supply power to the load unit. The data acquisition unit is connected to the power supply unit and the load unit, and is used to periodically collect the power supply parameters of the power supply unit, the load parameters of the load unit, the power generation amount, the power consumption amount, and the oil production amount. The access unit is connected to the power supply unit and the load unit, and is used to control the number of loads connected in the load unit. The power supply unit, the load unit, the data acquisition unit, and the access unit are communicatively connected to the intelligent control unit. The intelligent control unit is used to receive the power supply parameters and load parameters from the data acquisition unit. The data storage unit is used to store the power supply parameters, load parameters, power generation amount, power consumption amount, and oil production amount data. The intelligent control unit intelligently adjusts the load parameters by analyzing the power supply parameters and load parameters, and controls the access unit to adjust the number of loads connected to the load unit according to the selected control mode.

[0006] Furthermore, the control modes include an oil production optimization mode, an energy consumption optimization mode, and an intermittent pumping mode. Among them, in the oil production optimization mode, by analyzing the load parameters, power consumption amount, and oil production amount collected by the data acquisition unit, the optimal oil production parameters of the load unit are found, and the load parameters of the load unit are automatically adjusted according to the optimal oil production parameters to increase the oil production amount per unit cycle. In the energy consumption optimization mode, while maintaining a certain oil production amount, the optimal energy - saving parameters of the load unit are found to reduce the power consumption of the load unit. In the intermittent pumping mode, by analyzing the power supply parameters and power generation amount of the power supply unit, and according to the optimal oil production parameters and energy - saving parameters, the balance point of the oil production amount, power consumption amount, and power generation amount is found, and the pumping units in the load unit are controlled to operate intermittently.

[0007] Furthermore, the power supply unit includes a high - voltage branch line, a DC bus, a photovoltaic array, a wind power generation array, and an energy storage system. The photovoltaic array, the wind power generation array, and the energy storage system are respectively connected to a multi - energy complementary controller and then merged into the DC bus. The high - voltage branch line is connected to the municipal power supply. The high - voltage branch line passes through a transformer, a rectifier device, and an access control device and then merges into the DC bus. The DC bus is connected to the load unit. The intelligent control unit is communicatively connected to several multi - energy complementary controllers, and is used to control the access of the photovoltaic array, the wind power generation array, and the energy storage system and adjust the power supply parameters of the photovoltaic array, the wind power generation array, and the energy storage system.

[0008] Furthermore, the load unit includes an inverter, a number of pumping units, an electric heating device, and a lighting device. One end of the inverter is connected to the DC bus, and the other end is connected to the pumping units, the electric heating device, and the lighting device. The inverter is used for variable - frequency speed control of the pumping units and for flowing the energy generated by the pumping units in reverse into the DC bus.

[0009] Further, the intelligent control unit includes a server, a communication module, a load parameter - oil production and power consumption model and a power supply parameter - power generation model built on the server. The load parameter - oil production and power consumption model analyzes load parameters, oil production, and power consumption data, extracts historical data of load parameters, oil production, and power consumption from the data storage unit, and establishes a linear regression model with load parameters as input features and power consumption and oil production as output labels. The power supply parameter - power generation model analyzes power supply parameters and power generation data, extracts historical data of power supply parameters and power generation from the data storage unit, and establishes a linear regression model with power supply parameters as input features and power generation as output labels. The communication module is used to send server instructions to the power supply unit, load unit, and access unit, and transmit the power supply parameters and load parameters periodically collected by the data acquisition unit to the server. The server is communicatively connected to the data storage unit.

[0010] Further, the operation process of the intelligent control unit in the production increase optimization mode is as follows: record the minimum operating value and rated value of the load parameters. The data storage unit includes a load parameter set and corresponding power consumption data sets and oil production data sets. Input the load parameters in the form of feature vectors into the load parameter - oil production and power consumption model, set the load progression parameter, input the load parameters with the minimum operating value, record the load parameters into the load parameter set, and record the power consumption and oil production output by the load parameter - oil production and power consumption model into the power consumption data set and oil production data set respectively. Update some load parameters through the load progression parameter, use the updated load parameter feature vector as the input of the load parameter - oil production and power consumption model, record the load parameters into the load parameter set, and record the power consumption and oil production output by the load parameter - oil production and power consumption model into the power consumption data set and oil production data set respectively until all load parameters are updated to the rated value and then stop. Extract load parameters, power consumption, and oil production from the load parameter set, power consumption data set, and oil production data set and establish a load energy consumption mathematical model to find the load parameters when the oil production is the maximum, that is, the optimal production increase parameters. The server generates control instructions according to the optimal production increase parameters and sends the control instructions to the load unit and access unit through the communication module.

[0011] Further, the operation process of the intelligent control unit in the energy consumption optimization mode is as follows: extract the maximum oil production M from the self-produced oil volume data set, set the oil production maintenance coefficient μ, and record the oil production in the energy consumption optimization mode as μM; traverse the oil production data set. When the oil production in the oil production data set is close to the value of μM, extract the corresponding load parameters and power consumption from the load parameter set and the power consumption data set respectively, and store the load parameters and power consumption correspondingly in the first comparison set; compare the power consumption in the first comparison set to obtain the load parameters when the power consumption is the smallest, that is, the optimal energy-saving parameters; the server generates a control instruction according to the optimal energy-saving parameters and sends the control instruction to the load unit and the access unit through the communication module.

[0012] Further, the operation process of the intelligent control unit in the intermittent pumping mode is as follows: input the power supply parameters of the next cycle in the form of a feature vector into the power supply parameter - power generation model, and record the power generation of the next cycle output by the power supply parameter - power generation model; input the utilization rate and the energy storage rate, and calculate the predicted power consumption and the predicted energy storage; input the predicted power consumption into the load energy consumption mathematical model, store the oil production and load parameters when using the predicted power consumption in the second comparison set, compare the oil production in the second comparison set to obtain the load parameters when the oil production is the largest, record the load parameters at this time as the intermittent pumping load parameters, and calculate the number of load start and stop; the server generates a control instruction according to the intermittent pumping load parameters, sends the control instruction to the load unit and the access unit through the communication module, and sends the energy storage rate to the power supply unit.

[0013] Further, the intelligent control unit further includes a working condition warning module and an Internet of Things platform. The working condition warning module analyzes the data of the load unit in real time and makes a warning information prompt; the Internet of Things platform is communicatively connected to the server, and the Internet of Things platform provides functions such as real-time data display, human-computer interaction, and working condition warning.

[0014] The intelligent group control and regulation system for oil well platforms powered by a multi-source microgrid of the present invention integrates multiple operation modes. By analyzing the power supply parameters and load parameters through the intelligent control unit, it intelligently adjusts the load parameters according to the selected control mode and controls the access unit to adjust the access number of the load unit, so as to reduce energy consumption and save energy on the premise of ensuring production; at the same time, the intelligent control unit establishes a linear regression model between the power supply parameters and the power generation, obtains the law between the power supply parameters and the power generation, comprehensively adjusts the load parameters, realizes the intermittent pumping function, and solves problems such as stuck wells and wax formation caused by long-term well shutdown. Description of the Drawings

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 It is a structural relationship diagram of the intelligent group control and regulation system for an oil well platform powered by a multi - microgrid in an embodiment of the present invention. Specific embodiments

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.

[0018] The embodiment of the present invention includes an intelligent group control and regulation system for an oil well platform powered by a multi - microgrid. The system includes a power supply unit, a load unit, a data acquisition unit, an access unit, a data storage unit, and an intelligent control unit. The power supply unit is used to supply power to the load unit. The data acquisition unit is connected to the power supply unit and the load unit, and is used to periodically collect the power supply parameters of the power supply unit, the load parameters of the load unit, the power generation amount, the power consumption amount, and the oil production amount. The access unit is connected to the power supply unit and the load unit, and is used to control the number of loads connected in the load unit. The power supply unit, the load unit, the data acquisition unit, and the access unit are communicatively connected to the intelligent control unit. The intelligent control unit is used to receive the power supply parameters and load parameters of the data acquisition unit. The data storage unit is used to store the power supply parameters, load parameters, power generation amount, power consumption amount, and oil production amount data. The intelligent control unit analyzes the power supply parameters and load parameters, and intelligently adjusts the load parameters according to the selected control mode and controls the access unit to adjust the number of loads connected to the load unit. The intelligent control unit analyzes the power supply parameters and load parameters, predicts the oil production amount and power consumption amount in the next acquisition cycle, obtains the optimal load parameters according to the selected control mode by establishing a mathematical model, and adjusts the load unit to reduce energy consumption and save energy on the premise of ensuring production. At the same time, the intelligent control unit establishes a linear regression model between the power supply parameters and the power generation amount, obtains the law between the power supply parameters and the power generation amount, comprehensively adjusts the load parameters, realizes the intermittent pumping function, and solves problems such as stuck wells and wax deposition caused by long - term well shutdown.

[0019] Specifically, the control modes include the production optimization mode, the energy consumption optimization mode, and the intermittent pumping mode. Among them, the production optimization mode analyzes the load parameters, power consumption, and oil production volume collected by the data acquisition unit to find the optimal production-increasing parameters of the load unit, and automatically adjusts the load parameters of the load unit according to the optimal production-increasing parameters to increase the oil production volume per unit cycle. The energy consumption optimization mode finds the optimal energy-saving parameters of the load unit to reduce the power consumption of the load unit while maintaining a certain oil production volume. The intermittent pumping mode analyzes the power supply parameters and power generation volume of the power supply unit, and finds the balance point of oil production volume, power consumption, and power generation volume according to the optimal production-increasing parameters and the optimal energy-saving parameters, and controls the intermittent operation of the pumping unit in the load unit.

[0020] Specifically, the power supply unit includes a high-voltage branch line, a DC bus, a photovoltaic array, a wind power generation array, and an energy storage system. The photovoltaic array, the wind power generation array, and the energy storage system are respectively connected to the multi-energy complementary controller and then merged into the DC bus. The high-voltage branch line is connected to the municipal power supply. The high-voltage branch line is reduced to 380V by a transformer and then merged into the DC bus after passing through a rectifier device and an access control device. The DC bus is connected to the load unit. The intelligent control unit is communicatively connected to a number of multi-energy complementary controllers, and is used to control the access of the photovoltaic array, the wind power generation array, and the energy storage system and adjust the power supply parameters of the photovoltaic array, the wind power generation array, and the energy storage system. The transformer is used to reduce the high-voltage branch line voltage to 380V and then merge it into the DC bus. When the electric energy of the photovoltaic array, the wind power generation array, and the energy storage system is insufficient, the municipal power supply is introduced to maintain the normal operation of the load unit. The photovoltaic array selects 540Wp photovoltaic modules, and the generated electric energy is stabilized by the multi-energy complementary controller in each area and then connected to the DC bus of the platform oil well through a DC meter.

[0021] Specifically, the load unit includes an inverter, a number of pumping units, an electric heating device, and a lighting device. One end of the inverter is connected to the DC bus, and the other end is connected to the pumping unit, the electric heating device, and the lighting device. The inverter is used for variable frequency speed control of the pumping unit and flowing the energy of the pumping unit's reverse power generation into the DC bus.

[0022] Specifically, the intelligent control unit includes a server, a communication module, a load parameter - oil production power consumption model and a power supply parameter - power generation model built on the server. The load parameter - oil production power consumption model analyzes load parameters, oil production, and power consumption data, extracts historical data of load parameters, oil production, and power consumption from the data storage unit, and establishes a linear regression model with input features of load parameters and output labels of power consumption and oil production. The power supply parameter - power generation model analyzes power supply parameters and power generation data, extracts historical data of power supply parameters and power generation from the data storage unit, and establishes a linear regression model with input features of power supply parameters and output label of power generation. The communication module is used to send server instructions to the power supply unit, load unit, and access unit, and transmit the power supply parameters and load parameters periodically collected by the data acquisition unit to the server. The server is communicatively connected to the data storage unit. Among them, the communication module uses an RTU (Remote Terminal Unit) for communication. The RTU has a long communication distance and provides multiple communication ports to adapt to different communication requirements of decentralized applications and local areas. The load parameter - oil production power consumption model and the power supply parameter - power generation model can be trained by SVM and fully convolutional neural networks. The load parameter - oil production power consumption model uses the periodically collected load parameters as feature vectors and oil production and power consumption as labels to train a multiple linear regression model. The power supply parameter - power generation model uses the periodically collected power supply parameters as feature vectors and power generation as labels to train a multiple linear regression model. Both the load parameter - oil production power consumption model and the power supply parameter - power generation model can optimize the model parameters through the gradient descent method and the AdaGrad algorithm to improve the prediction accuracy of the model.

[0023] Specifically, the operation process of the intelligent control unit in the production increase optimization mode is as follows: record the minimum operating value and the rated value of the load parameters. The data storage unit includes a load parameter set and a power consumption data set and an oil production data set corresponding to the load parameter set. Input the load parameters in the form of feature vectors into the load parameter - oil production power consumption model, set the load progression parameter, input the load parameters with the minimum operating value, record the load parameters into the load parameter set, and respectively record the power consumption and oil production output by the load parameter - oil production power consumption model into the power consumption data set and the oil production data set. Update some of the load parameters through the load progression parameter, use the updated load parameter feature vector as the input of the load parameter - oil production power consumption model, record the load parameters into the load parameter set, and respectively record the recorded power consumption and oil production output by the load parameter - oil production power consumption model into the power consumption data set and the oil production data set until all load parameters are updated to the rated value and then stop. Extract the load parameters, power consumption, and oil production from the load parameter set, the power consumption data set, and the oil production data set, and establish a load energy consumption mathematical model to find the load parameters when the oil production is the maximum, that is, the optimal parameters for production increase. The server generates a control instruction according to the optimal parameters for production increase and sends the control instruction to the load unit and the access unit through the communication module. The load parameters may include data such as the number of operating pumping units, the load of the pumping unit, frequency, electrical parameters, temperature, oil pressure, and casing pressure. The data acquisition module includes sensors arranged around the pumping unit for collecting the load of the pumping unit, frequency, electrical parameters, temperature, oil pressure, and casing pressure, and collects data in real time and uploads it to the intelligent group control unit.

[0024] Specifically, the operation process of the intelligent control unit in the energy consumption optimization mode is as follows: extract the maximum oil production M from the oil production data set, set the oil production maintenance coefficient μ, and record the oil production in the energy consumption optimization mode as μM. Traverse the oil production data set. When the oil production in the oil production data set is close to the value of μM, extract the corresponding load parameters and power consumption from the load parameter set and the power consumption data set respectively, and store the load parameters and power consumption correspondingly into the first comparison set. Compare the power consumption in the first comparison set to obtain the load parameters when the power consumption is the minimum, that is, the optimal parameters for energy conservation. The server generates a control instruction according to the optimal parameters for energy conservation and sends the control instruction to the load unit and the access unit through the communication module. Thus, on the premise of ensuring the output, the energy consumption is reduced and energy is saved. It is also possible to further achieve the balance between power supply and production through comprehensive analysis of the power generation data. The power supply parameters may include data such as the collection date, collection period, bus condition, and energy storage capacity.

[0025] Specifically, the operation process of the intelligent control unit in the intermittent pumping mode is as follows: input the power supply parameters of the next cycle in the form of a feature vector into the power supply parameter - power generation model, and record the power generation of the next cycle output by the power supply parameter - power generation model; input the usage rate and energy storage rate, and calculate the expected power consumption and expected energy storage; input the expected power consumption into the load energy consumption mathematical model, store the oil production and load parameters obtained when using the expected power consumption in the second comparison set, compare the oil production in the second comparison set, obtain the load parameters when the oil production is the largest, record the load parameters at this time as the intermittent pumping load parameters, and calculate the number of load start - stops; the server generates a control instruction according to the intermittent pumping load parameters, and sends the control instruction to the load unit, the access unit and the energy storage rate to the power supply unit through the communication module. After receiving the information of the number of load start - stops, the access control unit controls the number of operating pumping units on the oil well platform within a time period, so as to realize the intermittent pumping function.

[0026] Specifically, the intelligent control unit further includes a working condition warning module and an Internet of Things platform. The working condition warning module analyzes the data of the load unit in real time and gives a warning information prompt. The working condition warning module has a built - in load safe operation standard and has the function of identifying the operation status of the load unit. At the same time, it can identify the data in the load data set that does not meet the load safe operation standard, and communicate with the data storage unit to delete the data that does not meet the load safe operation standard, so as to ensure that the load parameters in the load parameter set all meet the safe operation standard and prevent production accidents; the Internet of Things platform is communicatively connected to the server, and the Internet of Things platform provides functions of real - time data display, human - machine interaction and working condition warning. The Internet of Things platform displays the operation status of the whole system, including green power statistics, power consumption statistics, operation status of pumping units and other electrical equipment, casing pressure, indicator diagram and other information.

[0027] An intelligent group control and regulation system for an oil well platform powered by a multi - source micro - grid according to an embodiment of the present invention integrates multiple operation modes. By intelligently controlling the load parameters, it can reduce energy consumption and save energy while ensuring the output, and at the same time has an intermittent pumping function to solve problems such as stuck wells and wax deposition caused by long - term well shutdown.

[0028] The above further describes the present invention with the aid of specific embodiments. However, it should be understood that this specific description should not be construed as a limitation on the essence and scope of the present invention. Various modifications made by those of ordinary skill in the art to the above - mentioned embodiments after reading this specification all fall within the scope protected by the present invention.

Claims

1. An intelligent group control and regulation system for an oil well platform powered by a multi-source microgrid, characterized in that: The system includes a power supply unit, a load unit, a data acquisition unit, an access unit, a data storage unit, and an intelligent control unit; the power supply unit is used to supply power to the load unit, the data acquisition unit is connected to the power supply unit and the load unit, and is used to periodically collect the power supply parameters of the power supply unit, the load parameters of the load unit, the power generation amount, the power consumption amount, and the oil production amount. The access unit is connected to the power supply unit and the load unit and is used to control the number of loads connected in the load unit; the power supply unit, the load unit, the data acquisition unit, and the access unit are communicatively connected to the intelligent control unit. The intelligent control unit is used to receive the power supply parameters and load parameters of the data acquisition unit. The data storage unit is used to store the power supply parameters, load parameters, power generation amount, power consumption amount, and oil production amount data. The intelligent control unit intelligently adjusts the load parameters by analyzing the power supply parameters and load parameters, and controls the access unit to adjust the number of loads connected to the load unit according to the selected control mode; The control modes include an oil production optimization mode, an energy consumption optimization mode, and an intermittent pumping mode; among them, the oil production optimization mode analyzes the load parameters, power consumption amount, and oil production amount collected by the data acquisition unit, finds the optimal oil production parameters of the load unit, and automatically adjusts the load parameters of the load unit according to the optimal oil production parameters to increase the oil production amount per unit cycle; the energy consumption optimization mode finds the optimal energy-saving parameters of the load unit to reduce the power consumption of the load unit while maintaining a certain oil production amount; the intermittent pumping mode analyzes the power supply parameters and power generation amount of the power supply unit, and finds the balance point of the oil production amount, power consumption amount, and power generation amount according to the optimal oil production parameters and the optimal energy-saving parameters, and controls the pumping unit in the load unit to run intermittently; The intelligent control unit includes a server, a communication module, a load parameter - oil production and power consumption model and a power supply parameter - power generation model built on the server. The load parameter - oil production and power consumption model analyzes the load parameters, oil production amount, and power consumption amount data, extracts the historical data of the load parameters, oil production amount, and power consumption amount from the data storage unit, and establishes a linear regression model with the input feature of the load parameters and the output labels of the power consumption amount and the oil production amount; the power supply parameter - power generation model analyzes the power supply parameters and power generation amount data, extracts the historical data of the power supply parameters and the power generation amount from the data storage unit, and establishes a linear regression model with the input feature of the power supply parameters and the output label of the power generation amount. The communication module is used to send server instructions to the power supply unit, the load unit, and the access unit, and transmit the power supply parameters and load parameters periodically collected by the data acquisition unit to the server. The server is communicatively connected to the data storage unit.

2. The intelligent group control and regulation system for an oil well platform powered by a multi-source microgrid according to claim 1, characterized in that: The power supply unit includes a high-voltage branch line, a DC bus, a photovoltaic array, a wind power generation array, and an energy storage system. The photovoltaic array, the wind power generation array, and the energy storage system are respectively connected to a multi-energy complementary controller and then converge into the DC bus. The high-voltage branch line is connected to the mains power supply. The high-voltage branch line is connected to the DC bus after passing through a transformer, a rectifying device, and an access control device. The DC bus is connected to the load unit. The intelligent control unit is communicatively connected to a plurality of multi-energy complementary controllers, and is used to control the access of the photovoltaic array, the wind power generation array, and the energy storage system and adjust the power supply parameters of the photovoltaic array, the wind power generation array, and the energy storage system.

3. The intelligent group control and regulation system for an oil well platform powered by a multi-source microgrid according to claim 2, characterized in that: The load unit includes an inverter, a plurality of pumping units, an electric heating device, and a lighting device. One end of the inverter is connected to the DC bus, and the other end is connected to the pumping units, the electric heating device, and the lighting device. The inverter is used for variable frequency speed control of the pumping units and for allowing the energy generated by the pumping units during reverse power generation to flow into the DC bus.

4. The intelligent group control and regulation system for an oil well platform powered by a multi-source microgrid according to claim 3, characterized in that: The operation process of the intelligent control unit in the production increase optimization mode is as follows: record the minimum operating value and the rated value of the load parameters. The data storage unit includes a load parameter set and a power consumption data set and an oil production data set corresponding to the load parameter set. Input the load parameters in the form of a feature vector into the load parameter - oil production and power consumption model, set the load progression parameter, input the load parameters with the minimum operating value, record the load parameters into the load parameter set, and respectively record the power consumption and oil production output by the load parameter - oil production and power consumption model into the power consumption data set and the oil production data set. Update some of the load parameters through the load progression parameter, use the updated load parameter feature vector as the input of the load parameter - oil production and power consumption model, record the load parameters into the load parameter set, and respectively record the power consumption and oil production output by the load parameter - oil production and power consumption model into the power consumption data set and the oil production data set until all the load parameters are updated to the rated value and then stop. Extract the load parameters, power consumption, and oil production from the load parameter set, the power consumption data set, and the oil production data set, and establish a load energy consumption mathematical model to find the load parameters when the oil production is the maximum, that is, the optimal parameters for production increase. The server generates a control instruction according to the optimal parameters for production increase and issues the control instruction to the load unit and the access unit through the communication module.

5. The intelligent group control and regulation system for an oil well platform powered by a multi-source microgrid according to claim 1, characterized in that: The operation process of the intelligent control unit in the energy consumption optimization mode is as follows: extract the maximum oil production M from the oil production data set, set the oil production maintenance coefficient μ, and record the oil production in the energy consumption optimization mode as μM. Traverse the oil production data set. When the oil production in the oil production data set is close to the value of μM, respectively extract the corresponding load parameters and power consumption from the load parameter set and the power consumption data set, and store the load parameters and power consumption in correspondence in the first comparison set. Compare the power consumption in the first comparison set to obtain the load parameters with the minimum power consumption, that is, the optimal parameters for energy saving. The server generates a control instruction according to the optimal parameters for energy saving and issues the control instruction to the load unit and the access unit through the communication module.

6. The intelligent group control and regulation system for an oil well platform powered by a multi-source microgrid according to claim 1, characterized in that: The operation process of the intelligent control unit in the intermittent pumping mode is as follows: input the power supply parameters of the next cycle in the form of eigenvectors into the power supply parameter - power generation amount model, and record the power generation amount of the next cycle output by the power supply parameter - power generation amount model; input the usage rate and energy storage rate, and calculate the expected power consumption and expected energy storage amount; input the expected power consumption into the load energy consumption mathematical model, store the oil production amount and load parameters when using the expected power consumption into the second comparison set, compare the oil production amounts in the second comparison set, obtain the load parameters when the oil production amount is the largest, record the load parameters at this time as the intermittent pumping load parameters, and calculate the number of load start - stops; The server generates a control instruction according to the intermittent pumping load parameters, and issues the control instruction to the load unit and the access unit through the communication module, and issues the energy storage rate to the power supply unit.

7. The intelligent group control and regulation system for an oil well platform powered by a multi-source microgrid according to claim 1, characterized in that: The intelligent control unit further includes a working condition warning module and an Internet of Things platform. The working condition warning module analyzes the data of the load unit in real - time and makes a warning information prompt; the Internet of Things platform is communicatively connected to the server, and the Internet of Things platform provides functions of real - time data display, human - machine interaction, and working condition warning.

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