Energy consumption device control method and system suitable for symmetric monopole-bipolar direct current

Abstract

The invention discloses an energy consumption device control method and system suitable for symmetric monopole-bipolar direct current, which are applied to the technical field of direct current control, and the method comprises the steps: obtaining the electrical quantity data of a target direct current system; performing abrupt change analysis on the electrical quantity data, and determining a fault event signal based on an obtained analysis result; based on the fault event signal, determining an energy consumption branch input by the target direct current system; a corresponding energy consumption branch is reconstructed, a reconstruction result is executed, and the voltage of the direct-current bus, the current of the sound pole converter and the temperature of the energy consumption resistor are obtained; processing by utilizing a multivariable decoupling control technology to obtain energy consumption power difference data; and based on the energy consumption power difference data, a cooperative control strategy is generated by adjusting an offshore wind plant in the target direct current system. According to the method provided by the invention, the technical problem that the transient stability of the system is influenced due to control target conflict caused by the fact that the independent action of the traditional energy consumption device is not deeply coordinated with other control structures of the direct current system can be solved.

Description

Technical Field

[0001] This invention relates to the field of DC control technology, and in particular to a control method and system for energy-consuming devices applicable to symmetrical unipolar-bipolar DC. Background Technology

[0002] With the large-scale development and long-distance transmission of renewable energy sources such as offshore wind power, in the hybrid DC topology that combines symmetrical monopole and symmetrical bipole, the DC system faces the problem of DC side overvoltage and power surplus caused by transient processes such as AC side faults, DC line faults, power surges or operation mode switching. If this excess energy cannot be dissipated in a timely and controllable manner, it will cause overvoltage impacts on key equipment such as converter valves, cables, and circuit breakers, threatening the safe and stable operation of the system.

[0003] In existing technologies, energy-consuming devices are often configured on the DC side to quickly engage when there is a power surplus in a symmetrical unipolar-bipolar DC system, consume excess energy, and maintain the DC voltage within a safe range. However, traditional energy-consuming devices often operate independently without deep coordination with other control structures of the DC system. When the system performs power reduction, voltage regulation, or mode switching, control objectives may conflict, affecting the transient stability of the system. Summary of the Invention

[0004] This invention provides a control method and system for energy-consuming devices applicable to symmetrical unipolar-bipolar DC systems. It solves the technical problem that the independent operation of traditional energy-consuming devices, without deep coordination with other control structures in the symmetrical unipolar-bipolar DC system, leads to conflicting control objectives and affects the transient stability of the system. It achieves deep coordination between energy-consuming devices and multiple control links such as offshore wind farms, thereby ensuring timely and controllable dissipation of excess energy, avoiding overvoltage impacts, and improving the transient stability of the system.

[0005] To address the aforementioned technical problems, this invention provides a control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC transmission, the method comprising: Acquire electrical quantity data of the target symmetrical unipolar-bipolar DC system; Abrupt change analysis is performed on the electrical quantity data, and the fault event signal of the target symmetrical unipolar-bipolar DC system is determined based on the analysis results. Based on the fault event signal, determine the energy-consuming branch that is put into the target symmetrical unipolar-bipolar DC system; Reconstruct the corresponding energy-consuming branch, execute the reconstruction result, and obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor; By using multivariable decoupling control technology to process the DC bus voltage, the current of the unipolar converter, and the temperature of the energy-consuming resistor, the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system is obtained. Based on the energy consumption difference data, a collaborative control strategy is generated by adjusting the offshore wind farm in the target symmetrical monopolar-bipolar DC system.

[0006] As one preferred embodiment, the step of performing abrupt change analysis on the electrical quantity data and determining the fault event signal of the target symmetrical unipolar-bipolar DC system based on the obtained analysis results includes: The electrical quantity data includes at least DC line current, DC line voltage, and DC line power; The electrical quantity data is subjected to feature analysis to obtain abrupt change analysis results, which include at least the rate of change of DC line current, the rate of change of DC line voltage, and the rate of change of DC line power. Based on the mutation analysis results and the preset threshold, the fault event signal of the target symmetrical unipolar-bipolar DC system is determined.

[0007] As one preferred embodiment, determining the energy-consuming branch activated by the target symmetrical unipolar-bipolar DC system based on the fault event signal includes: The fault event signal is parsed and processed to obtain the fault type and location identifier; By using topology coordination event-driven decision-making technology to process the fault type and the location identifier, the energy-consuming branch put into the target symmetrical unipolar-bipolar DC system is obtained.

[0008] As one preferred embodiment, the reconstruction corresponds to the energy-consuming branch, and the reconstruction result is obtained to obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor, including: Based on the topology data of the target symmetrical unipolar-bipolar DC system, the energy-consuming branch is reconstructed to obtain the reconstruction result, which includes at least the instantaneous current path. The reconstruction results are acquired and processed in real time to obtain the DC bus voltage, the current of the normal polarity converter, and the temperature of the energy-consuming resistor of the target symmetrical unipolar-bipolar DC system.

[0009] As one preferred embodiment, the process of using multivariable decoupling control technology to process the DC bus voltage, the current of the unipolar converter, and the temperature of the energy-consuming resistor to obtain the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system includes: The DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor are processed using multivariable decoupling control technology to obtain the modulation depth data of the instantaneous current path; Based on the modulation depth data, the power consumption difference data of the target symmetrical unipolar-bipolar DC system is obtained. The power consumption difference data includes at least real-time power surplus data, power change gradient data, and system safety margin data.

[0010] As one preferred embodiment, based on the energy consumption difference data, a cooperative control strategy is generated by adjusting the offshore wind farm in the target symmetrical monopolar-bipolar DC system, including: Based on the energy consumption power difference data, an adjustment instruction set for the offshore wind farm is generated; The adjustment instruction set of the offshore wind farm is dynamically optimized to obtain a collaborative control strategy.

[0011] As one preferred embodiment, after generating the cooperative control strategy, the energy-consuming device control method applicable to symmetrical unipolar-bipolar DC further includes: Acquire continuous monitoring data of the target symmetrical unipolar-bipolar DC system; The continuous monitoring data is input into a digital twin model constructed from the topology data of the target symmetrical unipolar-bipolar DC system for processing to obtain the system resilience data of the target symmetrical unipolar-bipolar DC system. Based on the system resilience data of the target symmetrical unipolar-bipolar DC system, the target symmetrical unipolar-bipolar DC system is optimized in a coordinated manner.

[0012] The present invention also provides a control system for energy-consuming devices suitable for symmetrical unipolar-bipolar DC transmission, comprising: The acquisition module is used to acquire electrical quantity data of the target symmetrical unipolar-bipolar DC system; The analysis module is used to perform abrupt change analysis on the electrical quantity data and determine the fault event signal of the target symmetrical unipolar-bipolar DC system based on the analysis results. The determination module is used to determine the energy-consuming branch that is put into the target symmetrical unipolar-bipolar DC system based on the fault event signal. An execution module is used to reconstruct the corresponding energy-consuming branch, execute the reconstruction result, and obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor. The processing module is used to process the DC bus voltage, the current of the unipolar converter and the temperature of the energy-consuming resistor using multivariable decoupling control technology to obtain the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system. The generation module is used to generate a cooperative control strategy based on the energy consumption power difference data and by adjusting the offshore wind farm in the target symmetrical monopole-bipole DC system.

[0013] The present invention provides a control device for energy-consuming devices suitable for symmetrical unipolar-bipolar DC, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the control method for energy-consuming devices suitable for symmetrical unipolar-bipolar DC as described above.

[0014] The present invention further provides a computer-readable storage medium storing a computer program, wherein when the device containing the computer-readable storage medium executes the computer program, it implements the energy-consuming device control method applicable to symmetrical unipolar-bipolar DC as described above.

[0015] Compared with the prior art, the beneficial effects of the present invention are at least one of the following: Compared with the prior art, the present invention obtains electrical quantity data of the target symmetrical unipolar-bipolar DC system and performs abrupt change analysis to determine the fault event signal. Based on the fault event signal, the appropriate energy-consuming branch is selected and reconstructed. At the same time, the DC bus voltage, unipolar converter current and energy-consuming resistor temperature parameters are collected. Then, the above parameters are processed by multivariable decoupling control technology to obtain energy consumption power difference data. Finally, the power generation collaborative control strategy of the offshore wind farm is adjusted according to the data.

[0016] This closed-loop control system first achieves precise switching of energy-consuming branches, then eliminates multi-parameter coupling interference through decoupling control, avoids conflicts between the control objectives of energy-consuming devices and the sound-pole converter, and finally links the offshore wind farm to form a synergistic force to absorb the power surplus. It completely solves the problem of independent operation of traditional energy-consuming devices and lack of deep coordination with other control structures in the system, realizes timely and controllable dissipation of excess energy, effectively avoids overvoltage impacts on key equipment, and significantly improves the transient stability of the symmetrical unipolar-bipolar DC system. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a control method for an energy-consuming device applicable to symmetrical unipolar-bipolar DC in one embodiment of the present invention. Figure 2 This is a schematic diagram of the current path during a fault at an onshore station in a symmetrical unipolar-bipolar DC system according to one embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a power-consuming device control system applicable to symmetrical unipolar-bipolar DC in one embodiment of the present invention; Figure 4This is a schematic diagram of the structure of a power-consuming device control device applicable to symmetrical unipolar-bipolar DC in one embodiment of the present invention; Figure label: Among them, 11. Acquisition module; 12. Analysis module; 13. Determination module; 14. Execution module; 15. Processing module; 16. Generation module; 21. Processor; 22. Memory. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0019] In the description of this invention, it should be noted that, unless otherwise defined, all technical and scientific terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this specification is for the purpose of describing specific embodiments only and is not intended to limit the invention. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0020] One embodiment of the present invention provides a control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC transmission. For details, please refer to [link to relevant documentation]. Figure 1 , Figure 1 The diagram shown is a flowchart illustrating a control method for a symmetrical unipolar-bipolar DC power consumption device according to one embodiment of the present invention. The method includes: S1: Obtain electrical quantity data of the target symmetrical unipolar-bipolar DC system; S2: Perform abrupt change analysis on the electrical quantity data, and determine the fault event signal of the target symmetrical unipolar-bipolar DC system based on the analysis results; S3: Based on the fault event signal, determine the energy-consuming branch that is put into the target symmetrical unipolar-bipolar DC system; S4: Reconstruct the corresponding energy-consuming branch, execute the reconstruction result, and obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor; S5: Using multivariable decoupling control technology, the DC bus voltage, the current of the unipolar converter, and the temperature of the energy-consuming resistor are processed to obtain the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system. S6: Based on the energy consumption power difference data, a cooperative control strategy is generated by adjusting the offshore wind farm in the target symmetrical monopolar-bipolar DC system.

[0021] It should be noted that this method is applied to the DC topology of offshore wind power, which includes three parts: offshore converter station, transfer station, and onshore converter station. The offshore converter station is connected to the transfer station in a symmetrical unipolar connection manner, and the onshore converter station is connected to the transfer station in a symmetrical bipolar connection manner. Therefore, the DC system is also called a symmetrical unipolar-bipolar DC system.

[0022] Specifically, traditional energy-consuming devices lack real-time perception of the global electrical quantities of a symmetrical unipolar-bipolar DC system, relying solely on local voltage or current signals to trigger actions, which can easily lead to a mismatch between the timing of the action and the actual transient requirements of the system.

[0023] This method, by collecting overall electrical quantity data of the system, can comprehensively reflect the characteristics of transient processes such as AC side faults, DC line faults, and power surges.

[0024] Electrical quantity data should include at least DC line current, DC line voltage, and DC line power.

[0025] Performing abrupt change analysis on the electrical quantity data and determining the fault event signal of the target symmetrical unipolar-bipolar DC system based on the obtained analysis results includes: performing feature analysis on the electrical quantity data to obtain abrupt change analysis results, wherein the abrupt change analysis results include at least the rate of change of DC line current, the rate of change of DC line voltage, and the rate of change of DC line power; and determining the fault event signal of the target symmetrical unipolar-bipolar DC system based on the abrupt change analysis results and a preset threshold.

[0026] First, the collected electrical quantity data of the target symmetrical unipolar-bipolar DC system are preprocessed to remove noise interference and ensure the accuracy and validity of the data.

[0027] Then, the current time series data, voltage time series data, and power time series data of the DC line are extracted from the preprocessed electrical quantity data to clarify the values ​​of each physical quantity at continuous time nodes. Next, the rate of change of each physical quantity is calculated based on the time series data. For the rate of change of DC line current, the difference between the current values ​​at two adjacent time nodes is calculated and then divided by the time interval between the two time nodes to obtain the rate of change of current within that time period. The same calculation method is used to obtain the rate of change of DC line voltage and the rate of change of DC line power, respectively. Finally, the rate of change data of the three physical quantities are integrated to form a complete catastrophe analysis result.

[0028] The absolute values ​​of raw electrical quantity data cannot directly reflect whether the system is in a transient state of fault or power change. However, the rate of change of current, voltage and power are sensitive parameters that characterize the degree of transient change in the system. They can accurately capture the rapid fluctuations in electrical quantities caused by transient processes such as AC side faults, DC line faults and power changes.

[0029] Then, based on the equipment parameters, operating conditions, and fault type characteristics of the target symmetrical unipolar-bipolar DC system, threshold ranges for the rate of change of DC line current, the rate of change of DC line voltage, and the rate of change of DC line power are preset. Different fault types correspond to different threshold combinations. For example, a DC line short-circuit fault corresponds to a combination where the rate of change of current significantly exceeds the normal threshold and the rate of change of voltage is significantly lower than the normal threshold, while a power mutation fault corresponds to a single condition where the rate of change of power exceeds the preset threshold.

[0030] Next, the three rate-of-change indicators from the mutation analysis results obtained in the first step are compared one by one with their corresponding preset thresholds to determine whether each indicator exceeds the threshold range. Finally, based on the combination of indicators exceeding the threshold, the corresponding fault type is matched, and a fault event signal corresponding to the fault type is generated. For example, a DC line short-circuit fault event signal is generated when the DC line short-circuit fault characteristic is matched, and a power mutation fault event signal is generated when the power mutation characteristic is matched.

[0031] Different types of faults result in varying degrees of power surplus and transient characteristics, requiring the deployment of different types of energy-consuming branches for handling. Precise fault event signals can prevent traditional energy-consuming devices from blindly operating without distinguishing fault types, ensuring that subsequent energy-consuming branch deployment matches the actual transient needs of the system, and laying the foundation for deep coordination between energy-consuming devices and other control structures.

[0032] Furthermore, based on the fault event signal, determining the energy-consuming branch of the target symmetrical unipolar-bipolar DC system includes: parsing the fault event signal to obtain the fault type and location identifier; and using topology coordination event-driven decision-making technology to process the fault type and the location identifier to obtain the energy-consuming branch of the target symmetrical unipolar-bipolar DC system.

[0033] Specifically, a fault event signal analysis model is built. This model has a built-in database of typical fault features of symmetrical unipolar-bipolar DC systems. The database contains signal feature maps corresponding to transient events such as AC side faults, DC line faults, power surges, and operating mode switching.

[0034] The input fault event signal is then imported into the analytical model to extract the time-domain and frequency-domain features of the signal. The time-domain features include the amplitude variation pattern and duration of the signal, while the frequency-domain features include the dominant frequency distribution and harmonic content of the signal. The extracted signal features are then matched one by one with the feature maps in the fault feature database, and the corresponding fault type is determined based on the matching degree.

[0035] At the same time, by combining the electrical quantity acquisition node information carried in the fault event signal, the specific location of the fault is located and a location identifier is generated. The location identifier needs to clearly indicate whether the fault occurred in the AC side bus, DC line single pole, DC line double pole, or converter valve group, etc.

[0036] At the same time, it is also necessary to construct an event-driven decision-making model for topology coordination.

[0037] The model's input layer consists of fault type and location identifier. The intermediate layer embeds the topology parameters of the target symmetrical unipolar-bipolar DC system, including the topological connections between symmetrical unipolar and bipolar systems, the number of energy-consuming branches corresponding to each pole, capacity levels, and switching response speeds. Then, based on the topological characteristics of the symmetrical unipolar-bipolar DC system, a mapping relationship is established between fault type, location identifier, and energy-consuming branch switching rules. Different combinations of fault types and locations correspond to different energy-consuming branch switching strategies. For example, when the fault type is a DC unipolar short-circuit fault and the location identifier is a DC line of a certain pole, the mapping rule prioritizes the activation of the dedicated energy-consuming branch corresponding to that faulty pole. When the fault type is a power surge fault and the location identifier is the system DC bus, the mapping rule activates a large-capacity energy-consuming branch shared by multiple poles.

[0038] Next, the fault type and location identifier obtained in the first step are input into the decision model. The model performs logical operations based on the built-in mapping relationship, and at the same time, it sorts the switching priorities of candidate energy-consuming branches based on the current system topology operation status, excluding energy-consuming branches that are under maintenance or in a fault state. Finally, it outputs the optimal energy-consuming branch combination scheme, specifying the number, quantity, and switching order of the energy-consuming branches that need to be deployed.

[0039] Next, the corresponding energy-consuming branch is reconstructed, and the reconstruction result is executed to obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor. This includes: reconstructing the energy-consuming branch based on the topology data of the target symmetrical unipolar-bipolar DC system to obtain the reconstruction result, which at least includes an instantaneous current path; and performing real-time acquisition and processing on the reconstruction result to obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor of the target symmetrical unipolar-bipolar DC system.

[0040] Specifically, the topology data of the target symmetrical unipolar-bipolar DC system is retrieved first. This data includes the connection relationship between the symmetrical unipolar and symmetrical bipolar systems, the connection nodes between each energy-consuming branch and the DC bus and converter, the switching configuration status of the energy-consuming branches, and the series and parallel combination parameters of the energy-consuming resistors, among other core information.

[0041] Then, based on the determined energy-consuming branch scheme, the topology of the branch is dynamically adjusted. For different fault types and power surplus levels, the series and parallel connection of energy-consuming resistors are optimized. For example, in high-power surplus scenarios, a multi-resistor parallel structure is used to increase energy consumption capacity, while in low-power surplus scenarios, a resistor series structure is used to control the energy consumption rate. At the same time, the status of the corresponding switching devices of the branch is adjusted, closing the branch switch that needs to be put into operation and disconnecting redundant or under maintenance branch switches.

[0042] Next, based on the adjusted resistor combinations and switch states, the instantaneous current path of the branch is calculated and generated. This clarifies the specific path from the DC bus into the energy-consuming branch, through the energy-consuming resistor, and back to the system. Simultaneously, the compatibility of this path with other parts of the system topology is verified to avoid the risk of current loops or open circuits. Finally, the adjusted branch topology parameters and instantaneous current paths are integrated to form a complete reconstruction result.

[0043] Corresponding sensors are deployed at key locations in the target symmetrical unipolar-bipolar DC system. Voltage sensors are deployed at the input and output ends of the DC bus, current sensors are deployed in the output circuit of the unipolar converter, and temperature sensors are embedded on the surface or inside each energy-consuming resistor to ensure that the sensor sampling frequency meets the rapid response requirements of the system's transient processes. Then, connections are established between the various sensors and the data acquisition module, a unified acquisition cycle is set, and the data acquisition process is initiated to acquire the instantaneous values ​​of the DC bus voltage, the output current values ​​of the unipolar converter, and the real-time temperature values ​​of the energy-consuming resistors in real time.

[0044] The DC bus voltage directly reflects the system's voltage stability and is a core indicator for determining whether excess energy is effectively dissipated. The current of a sound-pole converter reflects its operating condition and can be used to determine whether the reconfiguration of energy-consuming branches affects the converter's normal regulation. The temperature of the energy-consuming resistor is a key parameter ensuring the safety of the energy-consuming device itself, preventing damage due to overheating. The collected parameters provide real-time feedback data for subsequent multivariable decoupling control, constructing a closed-loop control link for coordinated control of branch reconfiguration parameter acquisition. This is a necessary prerequisite for achieving deep coordination between the energy-consuming device and other system control structures.

[0045] It should be noted that the reconfiguration changes the electrical connection of the target symmetrical unipolar-bipolar DC system, constructing one or more new parallel or series current paths, and guiding the power that originally flowed to the faulty pole to the healthy pole and the energy-consuming resistor. This is essentially an instantaneous reconfiguration of the system hardware topology.

[0046] The DC bus voltage, the current of the healthy pole converter, and the temperature of the energy-consuming resistor are processed using multivariable decoupling control technology to obtain the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system. This includes: processing the DC bus voltage, the current of the healthy pole converter, and the temperature of the energy-consuming resistor using multivariable decoupling control technology to obtain the modulation depth data of the instantaneous current path; and obtaining the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system based on the modulation depth data. The energy consumption power difference data includes at least real-time power surplus data, power change gradient data, and system safety margin data.

[0047] Specifically, a multivariable decoupled control model is first constructed, which includes an input layer, a decoupling operation layer, and an output layer. The input layer receives three parameters: real-time acquired DC bus voltage, current of the full-pole converter, and temperature of the energy-consuming resistor. The decoupling operation layer pre-establishes a mathematical model of the coupling relationship between the three parameters, and then introduces a feedforward compensation algorithm or a state feedback decoupling algorithm to eliminate mutual interference between the three parameters, enabling the control objective of each parameter to be optimized independently.

[0048] Then, the three parameters collected in real time are input into the model. The decoupling operation layer decouples the parameters and calculates the adjustment requirements corresponding to each parameter. The DC bus voltage parameter corresponds to the voltage stability adjustment requirements, the normal polarity converter current parameter corresponds to the converter safe operation adjustment requirements, and the energy-consuming resistor temperature parameter corresponds to the energy-consuming device's own safety adjustment requirements.

[0049] Next, based on the independent adjustment requirements of the three parameters and combined with the topological characteristics of the instantaneous current path, the modulation depth data of the path is calculated. The range of the modulation depth data is related to the conduction degree of the current path and the effective input capacity of the energy-consuming resistor. For example, when the DC bus voltage deviation is large, the modulation depth is increased to increase the current conduction of the energy-consuming branch. When the temperature of the energy-consuming resistor is close to the threshold, the modulation depth is decreased to limit the conduction degree of the current path.

[0050] Finally, the modulation depth components corresponding to the three dimensions of adjustment requirements are integrated to generate comprehensive modulation depth data of the instantaneous current path.

[0051] Next, a mapping model between modulation depth data and the actual dissipation power of the power-consuming branch is established. This model is based on the resistance parameters of the power-consuming branch, the topology parameters of the current path, and the circuit power calculation formula, and converts the modulation depth data into the real-time dissipation power value of the power-consuming branch.

[0052] Then, the total input power data and total output power data of the target symmetrical unipolar-bipolar DC system are collected. The total input power includes the transmission power of the offshore wind farm, and the total output power includes the power received by the AC grid. By calculating the difference between the total input power and the total output power, and then subtracting the real-time dissipation power of the energy-consuming branch, the real-time power surplus data of the system is obtained.

[0053] Next, the temporal variation characteristics of the modulation depth data are extracted, the rate of change of modulation depth per unit time is calculated, and the mapping relationship model is combined to transform it into the power change rate, generating power change gradient data, which can reflect the growth or decay trend of real-time power surplus.

[0054] Finally, by combining the safety threshold of DC bus voltage, the rated threshold of normal polarity converter current, and the temperature tolerance threshold of energy-consuming resistor, the ratio of the difference between the current parameter and the corresponding threshold is calculated. For example, the safety margin component of each parameter is obtained by subtracting the current parameter value from the safety threshold and then dividing by the safety threshold. The three components are then integrated to obtain the system safety margin data.

[0055] Finally, real-time power surplus data, power change gradient data, and system safety margin data are summarized to form complete energy consumption power difference data.

[0056] Furthermore, based on the energy consumption power difference data, a collaborative control strategy is generated by adjusting the offshore wind farm in the target symmetrical monopolar-bipolar DC system, including: generating an adjustment instruction set for the offshore wind farm based on the energy consumption power difference data; and dynamically optimizing the adjustment instruction set for the offshore wind farm to obtain the collaborative control strategy.

[0057] Specifically, the first step is to analyze the real-time power surplus data, power change gradient data, and system safety margin data contained in the energy consumption power difference data, and clarify the magnitude and trend of each data.

[0058] For real-time power surplus data, when the data is positive and the value is large, it is determined that the system has a large amount of excess energy that needs to be absorbed, and a wind farm output reduction instruction is generated accordingly. When the data is zero or negative, it is determined that the system power supply and demand are balanced or there is a power gap, and a wind farm output maintenance instruction or moderate increase instruction is generated accordingly.

[0059] For power change gradient data, when the gradient is positive and the value is large, it is determined that the system power surplus is growing rapidly, and a power adjustment command for rapid response of the wind farm is generated to shorten the power adjustment time cycle. When the gradient is negative, it is determined that the power surplus is declining, and a command for gradual adjustment of the wind farm is generated to avoid secondary fluctuations in the system caused by sudden changes in power output.

[0060] Based on the system safety margin data, when the safety margin is lower than the preset value, it is determined that the system is close to the safe operating boundary. Correspondingly, an instruction is generated for the wind farm to prioritize ensuring system safety and to prioritize reducing power output to quickly reduce power surplus. When the safety margin is higher than the preset value, it is determined that the system is operating stably and an instruction is generated for the wind farm to balance absorption efficiency and power generation benefits, optimizing the power output adjustment range.

[0061] Then, combining the turbine configuration parameters of the offshore wind farm, including the adjustable capacity of each turbine, ramp rate limits, and minimum technical output constraints, the global output adjustment command is decomposed into individual turbine adjustment commands, specifying the output adjustment direction, adjustment range, and execution time for each turbine. Finally, all individual adjustment commands are integrated to form a structured offshore wind farm adjustment command set.

[0062] Next, a dynamic optimization model is constructed. The input to the model is the offshore wind farm adjustment command set, and the target is the real-time operating parameters of the symmetrical monopole-bipole DC system, including the DC bus voltage, the monopole converter current, the energy-consuming resistor temperature, and the real-time dissipation power of the energy-consuming branch. The optimization objective of the model is set to minimize the fluctuation of the system power surplus, maximize the system safety margin, and take into account the power generation efficiency of the wind farm.

[0063] Then, the adjustment instruction set is input into the optimization model, and combined with the real-time operating parameters of the system, a multi-objective optimization algorithm, such as model predictive control algorithm or particle swarm optimization algorithm, is used to optimize the output adjustment range, adjustment speed and execution timing in the instruction set.

[0064] During the optimization process, it is necessary to verify the changing trends of key system parameters after the instruction set is executed, and to predict the synergistic effect of wind farm output adjustment and energy dissipation power changes. If the wind farm output adjustment is too fast, resulting in excessive fluctuations in converter current, or if the adjustment is too slow, resulting in a persistently high power surplus, the instruction parameters need to be corrected in real time to coordinate the wind farm output adjustment speed with the response speed of the energy dissipation device.

[0065] Simultaneously, the actual operational constraints of the wind farm must be incorporated, such as the turbine ramp rate limit and minimum technical output requirements. Instructions exceeding these constraints must be eliminated to ensure the executability of the optimized instruction set. Finally, the optimized instruction set is integrated to clarify the linkage timing between the switching status of energy-consuming branches and the wind farm output adjustment, forming a complete collaborative control strategy that includes adjusting the operating parameters of energy-consuming devices and regulating wind farm output.

[0066] After generating the cooperative control strategy, the energy-consuming device control method applicable to symmetrical unipolar-bipolar DC further includes: acquiring continuous monitoring data of the target symmetrical unipolar-bipolar DC system; inputting the continuous monitoring data into a digital twin model constructed from the topology data of the target symmetrical unipolar-bipolar DC system for processing to obtain system resilience data of the target symmetrical unipolar-bipolar DC system; and performing coordinated optimization of the target symmetrical unipolar-bipolar DC system based on the system resilience data of the target symmetrical unipolar-bipolar DC system.

[0067] Determine the range of parameters to be continuously monitored. The parameters should cover the operating status of each key component of the system, including DC bus voltage on the DC side, current of the healthy polarity converter, temperature of the energy-consuming resistor, switching status of the energy-consuming branch, DC line power, grid voltage and grid frequency on the AC side, as well as wind turbine output and unit operating status of the offshore wind farm. Then, deploy high-precision sensors and data acquisition terminals at each key node of the system and set a sampling frequency that matches the transient response speed of the system to ensure that the dynamic changes in the system during operation can be captured.

[0068] First, a digital twin model is constructed based on the topology data of the target symmetrical unipolar-bipolar DC system. This model fully replicates the system's topological connections, equipment parameters, and control logic, including the topological configurations of symmetrical unipolar and symmetrical bipolar systems, the resistance parameters and switching rules of energy-consuming branches, the turbine characteristics of offshore wind farms, and the algorithm parameters of the multivariable decoupled control model. A one-to-one mapping relationship is established between the physical system and the virtual model. Then, preprocessed continuous monitoring data is input into the digital twin model to drive real-time synchronous simulation, ensuring that the virtual model's operating state remains dynamically consistent with the physical system.

[0069] Next, an evaluation index system for system resilience is defined. This system should cover dimensions such as fault tolerance, transient recovery capability, equipment tolerance, and power balance capability. Specifically, it includes quantitative indicators such as voltage recovery time after a fault, power fluctuation suppression amplitude, temperature stabilization time of energy-consuming resistors, and duration of converter current overload. Then, the model calculates resilience scores for each dimension based on real-time simulation data and the evaluation index system. A weighted algorithm is used to integrate these scores, generating system resilience data that comprehensively reflects the system's operational resilience.

[0070] By analyzing system resilience data and comparing it with preset resilience thresholds, weak links in system operation can be identified. For example, when the voltage recovery time exceeds the threshold, it is determined that the coordination between the switching sequence of energy-consuming branches and the power output adjustment of the wind farm is insufficient. When the temperature stabilization time of the energy-consuming resistor is too long, it is determined that the modulation depth parameter setting of the multivariable decoupling control model is unreasonable. When the converter current fluctuation amplitude is too large, it is determined that the ramp rate parameter of the wind farm does not match the transient requirements of the system.

[0071] Then, for the identified weaknesses, differentiated optimization plans are formulated. The optimization directions cover control strategy parameters, equipment operating parameters, topology configuration parameters, etc. For example, the parameters of the multivariable decoupled control model are adjusted to optimize the modulation depth calculation accuracy, the output adjustment timing of offshore wind farms is optimized to enhance the synergy with energy-consuming devices, and the switching priority of energy-consuming branches is adjusted to improve energy dissipation efficiency.

[0072] Next, the optimized scheme is input into the digital twin model for simulation verification, simulating the system's operating state after the optimization scheme is implemented, calculating the optimized resilience index and comparing it with the unoptimized index. If the optimization effect does not meet expectations, the scheme parameters are adjusted and verified again.

[0073] Finally, the verified optimization scheme is sent to each control unit of the target symmetrical unipolar-bipolar DC system, updates the relevant parameters of the collaborative control strategy, adjusts the operating status of the equipment, and completes the coordinated optimization of the physical system.

[0074] Specifically, in one embodiment, taking the permanent failure of the pole 1 converter valve of the onshore converter station as an example, the specific implementation steps of the energy-consuming device control process applicable to symmetrical unipolar-bipolar DC are explained.

[0075] Phase 1: Fault Detection and Selective Pre-Investment The onshore converter station pole protection system detects signals such as severe overcurrent of the converter valve of pole 1 and differential protection of the bridge arm at the microsecond level, determines that the pole 1 is an unrecoverable fault, and uploads the fault event signal along with the fault pole identifier to the system-level coordination controller.

[0076] It should be noted that the system-level coordination controller, as the highest decision-making unit, has a built-in intelligent fault diagnosis module. It receives electrical quantities from the entire system through a high-speed communication network, including the status of each converter station, DC voltage and current, and the status of energy-consuming devices. It is responsible for the final fault judgment, the decision on the operating mode, and sends coordinated control commands containing timing information to each station-level controller.

[0077] The system-level controller switches from normal monitoring to fault handling.

[0078] Based on the failure event, it decides on the response strategy, such as deploying energy-consuming branches if necessary.

[0079] Phase Two: System Restructuring Start-up and Energy-Consuming Branch Implementation The system-level controller sends two commands to the onshore converter station controller almost simultaneously: a) Closed pole 1 BPS; b) Start the grounding switching sequence: disconnect the original neutral point grounding and switch to the healthy electrode grounding.

[0080] At the same time, the system-level controller sends an "immediate activation" command to the onshore switch station controller, targeting the negative power-consuming branch.

[0081] It should be noted that the station-level controller includes: 1. Onshore converter station controller: Receives system-level commands and executes the switching of the local BPS, grounding mode switching, and adjustment of the local power / voltage control mode. 2. Offshore converter station controller: Receives system-level step-down commands and executes ramp-down control of the DC voltage reference value. 3. Onshore switchyard controller (local controller for energy-consuming devices): This is the core execution unit. It receives precise system-level commands regarding the switching of energy-consuming branches and has a built-in adaptive adjustment algorithm, while simultaneously issuing DC circuit breaker opening commands. This controller collects DC voltage U_dc, current I_chopper of the connected branch, and resistance temperature T_R in real time, and obtains converter station commands through communication, thereby dynamically calculating and outputting PWM trigger pulses or submodule switching commands for the energy-consuming devices. 4. Valve-level driver: Located on the energy-consuming device body, it receives optical signals from the station-level controller and drives the switching action of IGBTs or submodules.

[0082] Timing coordination: After receiving the instruction, the onshore converter station controller first issues a command to close the pole by 1 BPS. Almost simultaneously (delay < 1 ms), the onshore switch station controller triggers the energy dissipation device, connecting the negative DC bus to the metal return line through the energy dissipation device resistor and thyristor.

[0083] At this time, the power current path sent from the offshore station is: Path 1: Offshore station positive pole → cable → positive pole DC line → BPS branch (BPS is closed at this time) → onshore converter station healthy pole (pole 2) converter valve → healthy pole DC line → cable → offshore station negative pole.

[0084] Path 2: Offshore station positive pole → cable → positive DC line → BPS branch (BPS closed at this time) → metallic return line → energy dissipation device 2 → cable → offshore station negative pole, as follows Figure 2 As shown, Figure 2 This is a schematic diagram of the current path during a fault at an onshore station.

[0085] This path successfully redirects the power surge from the faulty electrode to the parallel discharge channel formed by the healthy electrode and the energy-consuming resistor.

[0086] It should be noted that, Figure 2 The structure in the middle is as follows: BPS1-BPS: Bypass switch, mainly used for valve assembly activation and deactivation; HSS1-HSS6: DC bus fast switch; AC: AC power supply; DC: DC power supply; Energy dissipation device 1-Energy dissipation device 2: Devices used to dissipate excess energy in the system; DC circuit breaker 1-DC circuit breaker 2: devices that quickly and reliably cut off DC current; NBS: A metal return switch used to isolate the neutral busbar from the ground. NBGS: Switching devices used for enabling or disabling grounding points.

[0087] Phase 3: Coordinated Reduction of Source-Grid-Load At the same time as issuing the Phase 2 command, the system-level controller sends a DC voltage ramp-down command to the offshore converter station controller, for example, commanding its voltage reference value to linearly decrease from 1.0 pu (±500 kV) to 0.5 pu (±250 kV).

[0088] The system-level controller sends an emergency power reduction command to the wind farm's energy management platform, requiring the cluster to reduce its total output power to 50%-60% of the rated value within hundreds of milliseconds.

[0089] The onshore switchyard controller enters closed-loop regulation mode. This ensures the DC voltage U_dc smoothly tracks the slope descent curve U_ref(t) issued by the system level, while simultaneously limiting the healthy electrode current I_healthy to not exceed the set value I_max. A dual-loop or multivariable decoupled control algorithm is employed. The inner loop is the current loop, and the outer loop is the voltage loop.

[0090] During dynamic adjustment, in the early stage of a fault, the surplus power is large, the voltage is higher than the reference value, and the energy-consuming device consumes energy at full power. As the voltage at the offshore station drops and the wind farm switches off, the surplus power decreases, and the controller will automatically reduce the actual power consumption by using PWM or reducing the number of sub-modules to smoothly transfer the load back to the healthy polarity converter and ensure a smooth DC voltage curve.

[0091] Another embodiment of the present invention provides a control system for energy-consuming devices suitable for symmetrical unipolar-bipolar DC transmission. For details, please refer to [link to relevant documentation]. Figure 3 , Figure 3 The diagram shown is a schematic representation of a power-consuming device control system applicable to symmetrical unipolar-bipolar DC transmission in one embodiment of the present invention. The device includes: Acquisition module 11 is used to acquire electrical quantity data of the target symmetrical unipolar-bipolar DC system; Analysis module 12 is used to perform abrupt change analysis on the electrical quantity data and determine the fault event signal of the target symmetrical unipolar-bipolar DC system based on the analysis results. The determination module 13 is used to determine the energy-consuming branch of the target symmetrical unipolar-bipolar DC system based on the fault event signal. Execution module 14 is used to reconstruct the corresponding energy-consuming branch, execute the reconstruction result, and obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor; Processing module 15 is used to process the DC bus voltage, the current of the unipolar converter and the temperature of the energy-consuming resistor using multivariable decoupling control technology to obtain the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system. The generation module 16 is used to generate a cooperative control strategy based on the energy consumption power difference data by adjusting the offshore wind farm in the target symmetrical monopole-bipole DC system.

[0092] See Figure 4 This is a schematic diagram of the structure of a control device for a symmetrical unipolar-bipolar DC power consumption device provided in an embodiment of the present invention. The control device includes a processor 21, a memory 22, and a computer program stored in the memory 22 and configured to be executed by the processor 21. When the processor 21 executes the computer program, it implements the steps described in the above embodiment of the control method for a symmetrical unipolar-bipolar DC power consumption device. Figure 1 The steps S1 to S6 described above; or, when the processor 21 executes the computer program, it implements the functions of each module in the above-described device embodiments, such as the acquisition module 11.

[0093] For example, the computer program can be divided into one or more modules, which are stored in the memory 22 and executed by the processor 21 to complete the present invention. The one or more modules can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the control device for the energy-consuming device suitable for symmetrical unipolar-bipolar DC transmission. For example, the computer program can be divided into an acquisition module 11, an analysis module 12, a determination module 13, etc., with the specific functions of each module as follows: Acquisition module 11 is used to acquire electrical quantity data of the target symmetrical unipolar-bipolar DC system; Analysis module 12 is used to perform abrupt change analysis on the electrical quantity data and determine the fault event signal of the target symmetrical unipolar-bipolar DC system based on the analysis results. The determination module 13 is used to determine the energy-consuming branch of the target symmetrical unipolar-bipolar DC system based on the fault event signal. Execution module 14 is used to reconstruct the corresponding energy-consuming branch, execute the reconstruction result, and obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor; Processing module 15 is used to process the DC bus voltage, the current of the unipolar converter and the temperature of the energy-consuming resistor using multivariable decoupling control technology to obtain the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system. The generation module 16 is used to generate a cooperative control strategy based on the energy consumption power difference data by adjusting the offshore wind farm in the target symmetrical monopole-bipole DC system.

[0094] The control device for energy-consuming devices adapted to symmetrical unipolar-bipolar DC transmission may include, but is not limited to, a processor 21 and a memory 22. Those skilled in the art will understand that the schematic diagram is merely an example of a control device for energy-consuming devices adapted to symmetrical unipolar-bipolar DC transmission and does not constitute a limitation on such a device. It may include more or fewer components than illustrated, or combine certain components, or use different components. For example, the control device for energy-consuming devices adapted to symmetrical unipolar-bipolar DC transmission may also include input / output devices, network access devices, buses, etc.

[0095] The processor 21 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor 21 is the control center of the energy-consuming device control equipment suitable for symmetrical unipolar-bipolar DC power consumption, connecting all parts of the equipment through various interfaces and lines.

[0096] The memory 22 can be used to store the computer program and / or modules. The processor 21 implements various functions of the energy-consuming device control equipment suitable for symmetrical unipolar-bipolar DC by running or executing the computer program and / or modules stored in the memory 22 and calling the data stored in the memory 22. The memory 22 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory 22 may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0097] The module integrated into the control equipment for the energy-consuming device of symmetrical unipolar-bipolar DC power consumption, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0098] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0099] Accordingly, embodiments of the present invention provide a computer-readable storage medium comprising a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform steps in the energy-consuming device control method applicable to symmetrical unipolar-bipolar DC as described in the above embodiments, for example... Figure 1 Steps S1 to S6 as described above.

[0100] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC transmission, characterized in that, include: Acquire electrical quantity data of the target symmetrical unipolar-bipolar DC system; Abrupt changes are analyzed on the electrical quantity data, and the fault event signal of the target symmetrical unipolar-bipolar DC system is determined based on the analysis results. Based on the fault event signal, determine the energy-consuming branch that is put into the target symmetrical unipolar-bipolar DC system; Reconstruct the corresponding energy-consuming branch, execute the reconstruction result, and obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor; By using multivariable decoupling control technology to process the DC bus voltage, the current of the unipolar converter, and the temperature of the energy-consuming resistor, the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system is obtained. Based on the energy consumption difference data, a collaborative control strategy is generated by adjusting the offshore wind farm in the target symmetrical monopolar-bipolar DC system.

2. The control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC as described in claim 1, characterized in that, The step of performing abrupt change analysis on the electrical quantity data and determining the fault event signal of the target symmetrical unipolar-bipolar DC system based on the analysis results includes: The electrical quantity data includes at least DC line current, DC line voltage, and DC line power; The electrical quantity data is subjected to feature analysis to obtain abrupt change analysis results, which include at least the rate of change of DC line current, the rate of change of DC line voltage, and the rate of change of DC line power. Based on the mutation analysis results and the preset threshold, the fault event signal of the target symmetrical unipolar-bipolar DC system is determined.

3. The control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC as described in claim 1, characterized in that, The step of determining the energy-consuming branch activated by the target symmetrical unipolar-bipolar DC system based on the fault event signal includes: The fault event signal is parsed and processed to obtain the fault type and location identifier; By using topology coordination event-driven decision-making technology to process the fault type and the location identifier, the energy-consuming branch put into the target symmetrical unipolar-bipolar DC system is obtained.

4. The control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC as described in claim 1, characterized in that, The reconstruction corresponds to the energy-consuming branch. The reconstruction result is obtained by performing the reconstruction, yielding the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor, including: Based on the topology data of the target symmetrical unipolar-bipolar DC system, the energy-consuming branch is reconstructed to obtain the reconstruction result, which includes at least the instantaneous current path. The reconstruction results are acquired and processed in real time to obtain the DC bus voltage, the current of the normal polarity converter, and the temperature of the energy-consuming resistor of the target symmetrical unipolar-bipolar DC system.

5. The control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC as described in claim 4, characterized in that, The process of using multivariable decoupling control technology to process the DC bus voltage, the current of the unipolar converter, and the temperature of the energy-consuming resistor yields the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system, including: The DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor are processed using multivariable decoupling control technology to obtain the modulation depth data of the instantaneous current path; Based on the modulation depth data, the power consumption difference data of the target symmetrical unipolar-bipolar DC system is obtained. The power consumption difference data includes at least real-time power surplus data, power change gradient data, and system safety margin data.

6. The control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC as described in claim 1, characterized in that, The method for generating a coordinated control strategy based on the energy consumption difference data, by adjusting the offshore wind farm in the target symmetrical monopolar-bipolar DC system, includes: Based on the energy consumption power difference data, an adjustment instruction set for the offshore wind farm is generated; The adjustment instruction set of the offshore wind farm is dynamically optimized to obtain a collaborative control strategy.

7. The control method for energy-consuming devices applicable to symmetrical unipolar-bipolar DC as described in claim 1, characterized in that, After generating the aforementioned coordinated control strategy, the energy-consuming device control method applicable to symmetrical unipolar-bipolar DC further includes: Acquire continuous monitoring data of the target symmetrical unipolar-bipolar DC system; The continuous monitoring data is input into a digital twin model constructed from the topology data of the target symmetrical unipolar-bipolar DC system for processing to obtain the system resilience data of the target symmetrical unipolar-bipolar DC system. Based on the system resilience data of the target symmetrical unipolar-bipolar DC system, the target symmetrical unipolar-bipolar DC system is optimized in a coordinated manner.

8. A control system for a power-consuming device suitable for symmetrical unipolar-bipolar DC transmission, characterized in that, include: The acquisition module is used to acquire electrical quantity data of the target symmetrical unipolar-bipolar DC system; The analysis module is used to perform abrupt change analysis on the electrical quantity data and determine the fault event signal of the target symmetrical unipolar-bipolar DC system based on the analysis results. The determination module is used to determine the energy-consuming branch that is put into the target symmetrical unipolar-bipolar DC system based on the fault event signal. An execution module is used to reconstruct the corresponding energy-consuming branch, execute the reconstruction result, and obtain the DC bus voltage, the current of the healthy polarity converter, and the temperature of the energy-consuming resistor. The processing module is used to process the DC bus voltage, the current of the unipolar converter and the temperature of the energy-consuming resistor using multivariable decoupling control technology to obtain the energy consumption power difference data of the target symmetrical unipolar-bipolar DC system. The generation module is used to generate a cooperative control strategy based on the energy consumption power difference data and by adjusting the offshore wind farm in the target symmetrical monopole-bipole DC system.

9. A control device for energy-consuming devices suitable for symmetrical unipolar-bipolar DC transmission, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the energy-consuming device control method for any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein when the device containing the computer-readable storage medium executes the computer program, it implements the energy-consuming device control method applicable to symmetrical unipolar-bipolar DC as described in any one of claims 1 to 7.

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