Cooperative control method and device for offshore wind power flexible direct current system

Abstract

The invention discloses an offshore wind power flexible direct current system cooperative control method and device, particularly relates to the technical field of offshore wind power, and comprises an offshore wind power flexible direct current system cooperative control method which comprises a master-slave control cooperative method. A voltage margin control cooperation method; a droop control cooperation method; the hierarchical control cooperation method further comprises an offshore wind power flexible direct current system cooperation control device which comprises a master-slave control module, a master control station control unit and a slave control station control unit, and a communication unit is used for information interaction between the master converter station and the slave converter station. The method deals with the conditions of offshore wind power plant power fluctuation, alternating current power grid disturbance and the like, avoids large voltage fluctuation and power oscillation, guarantees that the system can still operate basically under the fault condition, meanwhile, achieves optimal distribution of power, provides reliable technical support for large-scale development and utilization of offshore wind power, assists in improving the grid-connected capacity and energy utilization efficiency, and has a wide application prospect. The power generation cost is reduced, and sustainable development of the offshore wind power industry is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of offshore wind power, and more specifically, to a coordinated control method and device for an offshore wind power flexible direct current system. Background Art

[0002] As the global demand for clean energy continues to grow, offshore wind power, as a renewable energy source with huge potential, has received widespread attention and development. However, the development and utilization of offshore wind power faces many technical challenges, among which the coordinated control of offshore wind power flexible DC systems is one of the key issues.

[0003] The complex marine environment places high demands on equipment reliability and lifespan, increasing the difficulty of system control. For example, high salinity and strong winds may damage equipment and affect the stable operation of the system. Secondly, the coordinated control of multiple converter stations faces challenges. The complex communication environment can easily lead to delays and interference, affecting the reliability and real-time nature of information interaction. Different converter stations have different control objectives and constraints, making it complex to design a reasonable coordinated control strategy. Furthermore, the output power of offshore wind power is highly intermittent and random, which can easily lead to DC voltage fluctuations and affect system stability. In addition, equipment and communication failures may cause system shutdown, affecting power supply reliability. Therefore, a coordinated control method and device for an offshore wind power flexible DC system are proposed. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a coordinated control method and device for an offshore wind power flexible DC system to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a coordinated control method for an offshore wind power flexible DC system, comprising the following steps: Step 1: Master-slave control coordination method, determine the offshore converter station as the master control station, the onshore converter station as the slave control station, set the DC voltage reference value of the master control station and the initial power reference value of the slave control station, the master control station collects the DC side voltage and the output power of the offshore wind farm, the slave control station collects its own output AC power and receives the command signal of the master control station, the master control station calculates the DC voltage deviation, inputs the deviation to the proportional integral controller to output a control signal to adjust the modulation ratio of the master control station converter to maintain DC voltage stability, the slave control station calculates the power deviation according to the master control station command or the preset power allocation strategy, adjusts the modulation ratio of the slave control station converter through the proportional integral controller to make the output power track the command power, the master and slave converter stations exchange information through a high-speed communication link, and the slave control station switches to a preset safety mode when a communication failure occurs; Step 2: Voltage margin control collaborative method, allocates a DC voltage control margin range to each converter station in the system according to its capacity, location and other factors, and initializes the power reference value and controller parameters; each converter station collects the DC side voltage and its own output AC power in real time; the converter station determines whether the DC voltage is within its own voltage margin range, if so, it controls it according to the conventional power control strategy, if close to or exceeds it, it adjusts the power output reference value to control the DC voltage back to the normal range; each converter station perceives the control actions of other converter stations through communication or local voltage measurement, and dynamically adjusts its own power output; Step 3: Droop control collaborative method, determine the droop coefficient for each converter station according to factors such as converter station capacity and line impedance, set the rated power and rated voltage, and initialize the control parameters; the converter station collects the DC side voltage and the AC power output by itself and performs filtering processing; calculates the converter station power reference value according to the droop characteristic formula, and adjusts the converter station modulation ratio through the proportional integral controller to achieve power output adjustment; when the output power of the offshore wind farm changes or a disturbance occurs on the AC power grid side, each converter station automatically adjusts the power output according to the droop characteristics to avoid power oscillation; Step 4: Hierarchical control coordination method, the system layer collects offshore wind farm power forecast information, onshore AC power grid load demand information, each converter station operating status information and transmission line parameters, determines the system power allocation strategy through the optimization algorithm, generates the converter station layer control command, the converter station layer receives the system layer control command, parses to obtain its own power reference value and DC voltage control target, collects the DC side voltage and its own output AC power, calculates the power deviation and voltage deviation, and generates control signals through the controller to adjust the power conversion module parameters in the converter station. The equipment layer monitors the operating parameters of the internal equipment of the converter station in real time, starts the protection mechanism, operates the equipment according to the converter station layer control signal and feeds back the operating status information. The system layer, converter station layer and equipment layer exchange information through a high-speed communication network. When a communication failure occurs, each layer adopts a backup strategy.

[0006] Preferably, the proportional-integral controller is used to output a control signal to adjust the modulation ratio of the converter. The high-speed communication link between the master station and the slave station adopts encryption technology and a redundant backup mechanism to ensure the reliability and security of communication. The roles of the master station and the slave station can be dynamically switched according to the system failure situation to improve the reliability and fault tolerance of the system.

[0007] Preferably, the voltage margin range of the converter station can be dynamically adjusted and optimized according to the system operating time and historical data. The determination of the droop coefficient also takes into account the operating life and reliability factors of the converter station to achieve more reasonable power distribution and system stability. The system-level optimization algorithm adopts a genetic algorithm or a particle swarm optimization algorithm to improve the accuracy and efficiency of the system power allocation strategy.

[0008] An offshore wind power flexible DC system coordinated control device includes a master-slave control module, a master control station control unit and a slave control station control unit, and a communication unit for information exchange between the master and slave converter stations; A voltage margin control module, used to implement a voltage margin control collaborative method, including a margin allocation unit, a data acquisition unit, a judgment and control unit, and a coordination unit; A droop control module, used to implement a droop control collaborative method, including a coefficient determination unit, a data processing unit, a control calculation unit, and a dynamic adjustment unit; The hierarchical control module includes a system layer control unit, a converter station layer control unit and an equipment layer control unit, and an inter-layer communication unit for information exchange between layers.

[0009] Preferably, the master control station control unit and the slave control station control unit of the master-slave control module respectively include proportional integral controllers, and the intelligent adaptive controller of the innovative master-slave control module adopts the following algorithm formula to adjust the control parameters: Knew=f(Pwf,Udc,t), where Knew is the adjusted control parameter, Pwf is the output power of the offshore wind farm, Udc is the DC voltage, and t is time.

[0010] Preferably, the judgment and control unit of the voltage margin control module adjusts the power output reference value according to the relationship between the DC voltage and the voltage margin range of the converter station.

[0011] Preferably, the control calculation unit of the droop control module calculates the power reference value according to the droop characteristic formula and adjusts the modulation ratio of the converter station through a proportional-integral controller.

[0012] Preferably, the system layer control unit of the hierarchical control module determines the power allocation strategy through an optimization algorithm, the converter station layer control unit and the equipment layer control unit are used for the specific control of the converter station and the equipment respectively, the inter-layer communication unit ensures the accurate transmission of information between the layers, the deep learning decision unit of the upgraded hierarchical control module adopts a deep neural network model for power prediction and optimization decision-making, and the reinforcement learning control unit adopts a Q-learning algorithm for autonomous control and optimization.

[0013] Preferably, the fuzzy logic adjustment unit of the improved voltage margin control module adopts the following algorithm: the input variables are the wind farm power fluctuation amplitude Pfluctuation and the grid load change rate Lchange, the output is the voltage margin adjustment amount ΔUmargin, and the adjustment amount is determined by the fuzzy rule base and the fuzzy inference engine.

[0014] Preferably, the adaptive droop coefficient adjustment strategy of the optimized droop control module adopts the following formula: kadaptive=g(Pout,dUdc / dt), where kadaptive is the adaptive droop coefficient, Pout is the output power of the converter station, and dUdc / dt is the DC voltage change rate.

[0015] Technical effects and advantages of the present invention: Through the master-slave control coordination method, the responsibilities of the master control station and the slave control station are clarified, so that the DC voltage can be stably controlled. When the output power of the offshore wind farm fluctuates, the master control station can quickly adjust the converter modulation ratio to maintain the DC voltage stability, and the slave control station adjusts the power output according to the instructions to ensure the power balance of the entire system. The voltage margin control coordination method allocates a DC voltage control margin range to each converter station. When the DC voltage is within the normal range, the converter station operates according to the conventional power control strategy. Once it approaches or exceeds the margin range, the converter station can adjust the power output in time to return the DC voltage to the normal range. This method effectively avoids large DC voltage fluctuations. The amplitude fluctuation improves the stability of the system. The droop control coordination method determines the droop coefficient according to the characteristics of the converter station. When the output power of the offshore wind farm changes or disturbances occur on the AC power grid side, each converter station can automatically adjust the power output according to the droop characteristics to avoid power oscillation and further enhance the stability of the system. The hierarchical control coordination method realizes the refined management of the system through the synergy of the system layer, converter station layer and equipment layer. The system layer can formulate a reasonable power allocation strategy based on the power forecast information of the offshore wind farm and the load demand information of the onshore AC power grid. The converter station layer and the equipment layer are responsible for specific control and operation to ensure the stable operation of the system. The high-speed communication link between the master station and the slave station uses encryption technology and redundant backup mechanism to ensure the reliability and security of communication. Even in the event of a communication failure, the slave station can switch to the preset safety mode to ensure the basic operation of the system and improve the fault tolerance of the system. The roles of the master station and the slave station can be dynamically switched according to the system failure situation, avoiding the situation where the entire system is paralyzed due to a single station failure, thereby improving the reliability of the system. The voltage margin range of the converter station can be dynamically adjusted and optimized according to the system operation time and historical data, so that the system can adapt to different operating conditions, thereby improving the reliability and adaptability of the system. The determination of the droop coefficient takes into account the operating life and reliability factors of the converter station, ensuring the stability and reliability of the converter station in long-term operation. In the hierarchical control coordination method, each layer exchanges information through a high-speed communication network, and each layer adopts a backup strategy in the event of a communication failure, ensuring the reliability and stability of the system. The slave control station calculates the power deviation according to the master control station command or the preset power allocation strategy, adjusts the converter modulation ratio to make the output power track the command power, and realizes the reasonable distribution of power. Each converter station perceives the control actions of other converter stations through communication or local voltage measurement, dynamically adjusts its own power output, and realizes the optimal distribution of power. In summary, through the mutual influence of the above-mentioned multiple effects, through the mutual coordination of various control methods and modules in the above-mentioned offshore wind power flexible DC system collaborative control method and device, on the one hand, the system stability is effectively improved, and it can cope with power fluctuations in offshore wind farms, AC power grid disturbances and other situations, and avoid large voltage fluctuations and power oscillations; on the other hand, the system reliability is enhanced. Relying on the encryption of communication links, redundancy mechanisms, dynamic switching of various control roles, backup strategies of various layers, etc., the system can be basically operated under fault conditions. At the same time, the optimal distribution of power is also realized. Various collaborative methods make the power output more reasonable and accurate from different angles, and improve the adaptability and flexibility of the system. It can adapt to different scales and operating conditions, support multiple algorithms and adjustment strategies to combine and adjust on demand. This series of beneficial effects provides reliable technical support for the large-scale development and utilization of offshore wind power, helps to improve grid connection capabilities and energy utilization efficiency, reduce power generation costs, and promote the sustainable development of the offshore wind power industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the overall method structure of the present invention.

[0017] Figure 2 It is a schematic diagram of the structure of the master-slave control coordination method of the present invention.

[0018] Figure 3 It is a schematic diagram of the structure of the voltage margin control collaborative method of the present invention.

[0019] Figure 4It is a structural schematic diagram of the droop control collaborative method of the present invention.

[0020] Figure 5 It is a schematic diagram of the structure of the hierarchical control coordination method of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] As attached Figure 1-5 The offshore wind power flexible DC system coordinated control method shown includes the following steps: Step 1: Master-slave control coordination method, determine the offshore converter station as the master control station, the onshore converter station as the slave control station, set the DC voltage reference value of the master control station and the initial power reference value of the slave control station, the master control station collects the DC side voltage and the output power of the offshore wind farm, the slave control station collects its own output AC power and receives the command signal of the master control station, the master control station calculates the DC voltage deviation, inputs the deviation to the proportional integral controller to output a control signal to adjust the modulation ratio of the master control station converter to maintain DC voltage stability, the slave control station calculates the power deviation according to the master control station command or the preset power allocation strategy, adjusts the modulation ratio of the slave control station converter through the proportional integral controller to make the output power track the command power, the master and slave converter stations exchange information through a high-speed communication link, and the slave control station switches to a preset safety mode when a communication failure occurs; Step 2: Voltage margin control collaborative method, allocates a DC voltage control margin range to each converter station in the system according to its capacity, location and other factors, and initializes the power reference value and controller parameters; each converter station collects the DC side voltage and its own output AC power in real time; the converter station determines whether the DC voltage is within its own voltage margin range, if so, it controls it according to the conventional power control strategy, if close to or exceeds it, it adjusts the power output reference value to control the DC voltage back to the normal range; each converter station perceives the control actions of other converter stations through communication or local voltage measurement, and dynamically adjusts its own power output; Step 3: Droop control collaborative method, determine the droop coefficient for each converter station according to factors such as converter station capacity and line impedance, set the rated power and rated voltage, and initialize the control parameters; the converter station collects the DC side voltage and the AC power output by itself and performs filtering processing; calculates the converter station power reference value according to the droop characteristic formula, and adjusts the converter station modulation ratio through the proportional integral controller to achieve power output adjustment; when the output power of the offshore wind farm changes or a disturbance occurs on the AC power grid side, each converter station automatically adjusts the power output according to the droop characteristics to avoid power oscillation; Step 4: Hierarchical control coordination method, the system layer collects offshore wind farm power forecast information, onshore AC power grid load demand information, each converter station operating status information and transmission line parameters, determines the system power allocation strategy through the optimization algorithm, generates the converter station layer control command, the converter station layer receives the system layer control command, parses to obtain its own power reference value and DC voltage control target, collects the DC side voltage and its own output AC power, calculates the power deviation and voltage deviation, and generates control signals through the controller to adjust the power conversion module parameters in the converter station. The equipment layer monitors the operating parameters of the internal equipment of the converter station in real time, starts the protection mechanism, operates the equipment according to the converter station layer control signal and feeds back the operating status information. The system layer, converter station layer and equipment layer exchange information through a high-speed communication network. When a communication failure occurs, each layer adopts a backup strategy.

[0023] The proportional-integral controller is used to output control signals to adjust the modulation ratio of the converter. The high-speed communication link between the master station and the slave station uses encryption technology and redundant backup mechanism to ensure the reliability and security of communication. The roles of the master station and the slave station can be dynamically switched according to the system fault situation to improve the reliability and fault tolerance of the system.

[0024] The voltage margin range of the converter station can be dynamically adjusted and optimized according to the system operating time and historical data. The determination of the droop coefficient also takes into account the operating life and reliability factors of the converter station to achieve more reasonable power distribution and system stability. The optimization algorithm at the system level adopts genetic algorithm or particle swarm optimization algorithm to improve the accuracy and efficiency of the system power allocation strategy.

[0025] An offshore wind power flexible DC system coordinated control device includes a master-slave control module, a master control station control unit and a slave control station control unit, and a communication unit for information exchange between the master and slave converter stations; A voltage margin control module, used to implement a voltage margin control collaborative method, including a margin allocation unit, a data acquisition unit, a judgment and control unit, and a coordination unit; A droop control module, used to implement a droop control collaborative method, including a coefficient determination unit, a data processing unit, a control calculation unit, and a dynamic adjustment unit; The hierarchical control module includes a system layer control unit, a converter station layer control unit and an equipment layer control unit, and an inter-layer communication unit for information exchange between layers.

[0026] The master control station control unit and the slave control station control unit of the master-slave control module respectively include proportional integral controllers. The intelligent adaptive controller of the innovative master-slave control module adopts the following algorithm formula to adjust the control parameters: Knew=f(Pwf,Udc,t), where Knew is the adjusted control parameter, Pwf is the output power of the offshore wind farm, Udc is the DC voltage, and t is time.

[0027] The judgment and control unit of the voltage margin control module adjusts the power output reference value according to the relationship between the DC voltage and the voltage margin range of the converter station.

[0028] The control calculation unit of the droop control module calculates the power reference value according to the droop characteristic formula and adjusts the modulation ratio of the converter station through a proportional-integral controller.

[0029] The system layer control unit of the hierarchical control module determines the power allocation strategy through an optimization algorithm. The converter station layer control unit and the equipment layer control unit are used for the specific control of the converter station and the equipment respectively. The inter-layer communication unit ensures the accurate transmission of information between layers. The deep learning decision unit of the upgraded hierarchical control module adopts a deep neural network model for power prediction and optimization decision-making. The reinforcement learning control unit adopts the Q-learning algorithm for autonomous control and optimization.

[0030] The fuzzy logic adjustment unit of the improved voltage margin control module adopts the following algorithm: the input variables are the power fluctuation amplitude Pfluctuation of the wind farm and the grid load change rate Lchange, and the output is the voltage margin adjustment amount ΔUmargin, which is determined by the fuzzy rule base and the fuzzy reasoning engine.

[0031] The adaptive droop coefficient adjustment strategy of the optimized droop control module adopts the following formula: kadaptive=g(Pout,dUdc / dt), where kadaptive is the adaptive droop coefficient, Pout is the output power of the converter station, and dUdc / dt is the DC voltage change rate.

[0032] Finally, it should be noted that the drawings of the embodiments disclosed in the present invention only involve structures related to the embodiments disclosed in the present invention, and other structures can refer to common designs. In the absence of conflicts, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A coordinated control method for an offshore wind power flexible DC system, characterized in that: The following steps are involved: Step 1: Master-slave control coordination method, determine the offshore converter station as the master control station, the onshore converter station as the slave control station, set the DC voltage reference value of the master control station and the initial power reference value of the slave control station, the master control station collects the DC side voltage and the output power of the offshore wind farm, the slave control station collects its own output AC power and receives the command signal of the master control station, the master control station calculates the DC voltage deviation, inputs the deviation to the proportional integral controller to output a control signal to adjust the modulation ratio of the master control station converter to maintain DC voltage stability, the slave control station calculates the power deviation according to the master control station command or the preset power allocation strategy, adjusts the modulation ratio of the slave control station converter through the proportional integral controller to make the output power track the command power, the master and slave converter stations exchange information through a high-speed communication link, and the slave control station switches to a preset safety mode when a communication failure occurs; Step 2: Voltage margin control collaborative method, allocates a DC voltage control margin range to each converter station in the system according to its capacity, location and other factors, and initializes the power reference value and controller parameters; each converter station collects the DC side voltage and its own output AC power in real time; the converter station determines whether the DC voltage is within its own voltage margin range, if so, it controls it according to the conventional power control strategy, if close to or exceeds it, it adjusts the power output reference value to control the DC voltage back to the normal range; each converter station perceives the control actions of other converter stations through communication or local voltage measurement, and dynamically adjusts its own power output; Step 3: Droop control collaborative method, determine the droop coefficient for each converter station according to factors such as converter station capacity and line impedance, set the rated power and rated voltage, and initialize the control parameters; the converter station collects the DC side voltage and the AC power output by itself and performs filtering processing; calculates the converter station power reference value according to the droop characteristic formula, and adjusts the converter station modulation ratio through the proportional integral controller to achieve power output adjustment; when the output power of the offshore wind farm changes or a disturbance occurs on the AC power grid side, each converter station automatically adjusts the power output according to the droop characteristics to avoid power oscillation; Step 4: Hierarchical control coordination method, the system layer collects offshore wind farm power forecast information, onshore AC power grid load demand information, each converter station operating status information and transmission line parameters, determines the system power allocation strategy through the optimization algorithm, generates the converter station layer control command, the converter station layer receives the system layer control command, parses to obtain its own power reference value and DC voltage control target, collects the DC side voltage and its own output AC power, calculates the power deviation and voltage deviation, and generates control signals through the controller to adjust the power conversion module parameters in the converter station. The equipment layer monitors the operating parameters of the internal equipment of the converter station in real time, starts the protection mechanism, operates the equipment according to the converter station layer control signal and feeds back the operating status information. The system layer, converter station layer and equipment layer exchange information through a high-speed communication network. When a communication failure occurs, each layer adopts a backup strategy.

2. The coordinated control method of the offshore wind power flexible DC system according to claim 1 is characterized in that: The proportional-integral controller is used to output a control signal to adjust the modulation ratio of the converter. The high-speed communication link between the master control station and the slave control station adopts encryption technology and a redundant backup mechanism to ensure the reliability and security of communication. The roles of the master control station and the slave control station can be dynamically switched according to the system failure situation to improve the reliability and fault tolerance of the system.

3. The coordinated control method of the offshore wind power flexible DC system according to claim 1 is characterized in that: The voltage margin range of the converter station can be dynamically adjusted and optimized according to the system operating time and historical data. The determination of the droop coefficient also takes into account the operating life and reliability factors of the converter station to achieve more reasonable power distribution and system stability. The optimization algorithm at the system level adopts a genetic algorithm or a particle swarm optimization algorithm to improve the accuracy and efficiency of the system power allocation strategy.

4. Offshore wind power flexible DC system coordinated control device, characterized by: It includes a master-slave control module, a master control station control unit and a slave control station control unit, and a communication unit for information exchange between the master and slave converter stations; A voltage margin control module, used to implement a voltage margin control collaborative method, comprising a margin allocation unit, a data acquisition unit, a judgment and control unit, and a coordination unit; A droop control module, used to implement a droop control collaborative method, including a coefficient determination unit, a data processing unit, a control calculation unit, and a dynamic adjustment unit; The hierarchical control module includes a system layer control unit, a converter station layer control unit and an equipment layer control unit, and an inter-layer communication unit for information exchange between layers.

5. The coordinated control device for an offshore wind power flexible DC system according to claim 5 is characterized in that: The master control station control unit and the slave control station control unit of the master-slave control module respectively include proportional integral controllers. The intelligent adaptive controller of the innovative master-slave control module adopts the following algorithm formula to adjust the control parameters: Knew=f(Pwf,Udc,t), where Knew is the adjusted control parameter, Pwf is the output power of the offshore wind farm, Udc is the DC voltage, and t is time.

6. The coordinated control device for an offshore wind power flexible DC system according to claim 5 is characterized in that: The judgment and control unit of the voltage margin control module adjusts the power output reference value according to the relationship between the DC voltage and the voltage margin range of the converter station.

7. The coordinated control device for an offshore wind power flexible DC system according to claim 5 is characterized in that: The control calculation unit of the droop control module calculates the power reference value according to the droop characteristic formula and adjusts the modulation ratio of the converter station through a proportional-integral controller.

8. The coordinated control device for an offshore wind power flexible DC system according to claim 5 is characterized in that: The system layer control unit of the hierarchical control module determines the power allocation strategy through an optimization algorithm. The converter station layer control unit and the equipment layer control unit are used for the specific control of the converter station and the equipment respectively. The inter-layer communication unit ensures the accurate transmission of information between the layers. The deep learning decision unit of the upgraded hierarchical control module adopts a deep neural network model for power prediction and optimization decision-making. The reinforcement learning control unit adopts a Q-learning algorithm for autonomous control and optimization.

9. The coordinated control device for an offshore wind power flexible DC system according to claim 5 is characterized in that: The fuzzy logic adjustment unit of the improved voltage margin control module adopts the following algorithm: the input variables are the wind farm power fluctuation amplitude Pfluctuation and the grid load change rate Lchange, the output is the voltage margin adjustment amount ΔUmargin, and the adjustment amount is determined by the fuzzy rule base and the fuzzy reasoning engine.

10. The coordinated control device for an offshore wind power flexible DC system according to claim 5, characterized in that: The adaptive droop coefficient adjustment strategy of the optimized droop control module adopts the following formula: kadaptive=g(Pout,dUdc / dt), where kadaptive is the adaptive droop coefficient, Pout is the output power of the converter station, and dUdc / dt is the DC voltage change rate.

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