Method, device and equipment for controlling offshore converter station to call wind turbine energy consumption device to ride through fault
By determining the priority weights and sorting of feeder switching in the offshore wind power flexible DC transmission system, calculating the target feeder switching combination, and controlling the consumption of surplus power by energy-consuming devices, the problem of idle wind turbine energy-consuming devices and resource waste is solved, and the system achieves efficient operation and cost reduction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-10
- Publication Date
- 2026-03-13
AI Technical Summary
In offshore wind power flexible DC transmission systems, the wind turbine's built-in energy consumption devices are idle and require additional centralized energy consumption devices, resulting in resource waste and high engineering costs. Furthermore, there is a lack of effective strategies for utilizing wind turbine energy consumption devices to achieve power balance.
By acquiring feeder data before a fault in the flexible DC transmission system and the surplus power after the fault, the priority weight for switching each feeder is determined. Based on the weights, the target feeder combination for switching is sorted and accumulated to control the consumption of surplus power by energy-consuming devices.
It enables efficient and precise use of wind turbine energy-consuming devices, avoids resource waste, reduces engineering costs, and improves system economy.
Smart Images
Figure CN121663498A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of converter station technology, and in particular to a control method, device and equipment for a marine converter station to call upon the wind turbine energy consumption device to overcome a fault. Background Technology
[0002] Offshore wind power is an emerging power industry that promotes energy structure transformation and ensures energy security. Currently, the large-scale development of offshore wind power flexible DC transmission projects faces a prominent resource allocation contradiction—the duplication of centralized energy-consuming devices in flexible DC transmission systems with the energy-consuming devices of wind turbines in wind farms, resulting in serious resource waste and rising project costs.
[0003] Specifically, in typical offshore wind power flexible DC transmission projects, wind turbines are equipped with energy-consuming devices matching their rated capacity on the DC side of their converters to meet the AC fault ride-through requirements of the wind farm's AC grid. However, in actual operation, when a fault occurs in the onshore receiving-end grid, the wind turbines lack the ability to exchange real-time fault information with the flexible DC transmission system, making it impossible to detect this external fault in a timely manner, resulting in their built-in energy-consuming devices being "idle." Meanwhile, to ensure the safe and stable operation of the offshore wind power flexible DC transmission system and achieve system surplus power balance during faults, the project has to invest additional, high costs (usually tens or even hundreds of millions of yuan) to configure centralized DC energy-consuming devices. This redundant construction model of "idle wind turbine-built-in energy-consuming devices + additional centralized energy-consuming devices configured in the flexible DC transmission system" significantly increases the initial investment and operation and maintenance costs of the entire flexible DC transmission system project, becoming a key bottleneck restricting the economic viability of offshore wind power.
[0004] To overcome this predicament, the industry has explored a solution: establishing a dedicated high-speed communication channel between the offshore converter station and each wind turbine in the wind farm. This channel rapidly transmits fault signals detected by the flexible DC transmission system (such as onshore grid faults or DC faults) to the wind turbine's energy-consuming devices, utilizing the turbine's built-in energy-consuming devices to consume the system's surplus power. This completely replaces the additional centralized DC energy-consuming devices, fundamentally solving the problem of redundant configuration. However, this solution still faces technical challenges: the required surplus power varies significantly depending on the fault type (e.g., AC or DC grid faults at the onshore grid); and given the large number (typically hundreds) of wind turbine energy-consuming devices distributed across multiple feeders in the wind farm, how the offshore converter station can select and rationally utilize specific wind turbine energy-consuming devices for power balancing, while ensuring both "power matching accuracy" and "balanced operation of wind turbine energy-consuming devices," remains a challenge. Currently, a clear and effective utilization strategy has not yet been developed. Summary of the Invention
[0005] This application provides a control method, device, and equipment for offshore converter stations to call upon wind turbine energy-consuming devices to overcome faults, providing technical support for realizing efficient and accurate call upon wind turbine energy-consuming devices at offshore converter stations, and also solving the technical problem of resource waste caused by the failure of existing fault ride-through schemes to call upon wind turbine energy-consuming devices to participate in surplus power balancing.
[0006] To achieve the above objectives, this application provides the following technical solution:
[0007] On the one hand, a control method for offshore converter stations to call upon wind turbine energy-consuming devices to overcome faults is provided, including the following steps:
[0008] Acquire feeder data before a fault occurs in a flexible DC transmission system and surplus power after the fault occurs;
[0009] Based on the feeder data, the switching priority weight of each feeder in the flexible DC transmission system is determined.
[0010] The feeder priority switching list is obtained by sorting all the feeders in descending order of their switching priority weights.
[0011] According to the feeder priority switching list, the power data of the feeder before the feeder fault in the feeder data is gradually accumulated to obtain the total power of the feeder; until the accumulated total power of the feeder is greater than the surplus power, the target feeder switching combination is obtained;
[0012] Control the operation of all energy-consuming devices connected to the feeders in the target switching feeder combination to consume the surplus power.
[0013] Optionally, the feeder data includes the maximum total rated power of all feeders in the flexible DC transmission system, as well as the historical number of operations, total rated power, and power data of each feeder at the moment before the fault. Based on the feeder data, the switching priority weight of each feeder in the flexible DC transmission system is determined, including:
[0014] The capacity factor corresponding to each feeder is determined based on the total rated power of the maximum feeder and the total rated power of each feeder.
[0015] Based on the historical number of actions for each feeder, an action number penalty coefficient corresponding to each feeder is obtained;
[0016] Based on the capacity coefficient and the action number penalty coefficient of each feeder, the switching priority weight corresponding to each feeder is obtained.
[0017] Optionally, determining the capacity factor corresponding to each feeder based on the maximum total rated power of the feeder and the total rated power of each feeder includes: taking the quotient of the total rated power of each feeder and the maximum total rated power of the feeder as the capacity factor corresponding to each feeder.
[0018] Optionally, determining the penalty coefficient for the number of actions corresponding to each feeder based on the historical number of actions for each feeder includes: calculating the penalty coefficient for the number of actions corresponding to each feeder using a penalty coefficient formula based on the historical number of actions for each feeder; the penalty coefficient formula is:
[0019]
[0020] In the formula, K Nj N is the penalty coefficient for the number of actions of the j-th feeder. j This represents the historical number of actions performed on the j-th feeder.
[0021] Optionally, determining the switching priority weight corresponding to each feeder based on the capacity coefficient and the action number penalty coefficient of each feeder includes: taking the product of the capacity coefficient and the action number penalty coefficient of each feeder as the switching priority weight corresponding to each feeder.
[0022] On the other hand, a control device for offshore converter stations to call wind turbine energy consumption devices to overcome faults is provided, including: a data acquisition module, a weight determination module, a sorting module, a capacity calculation and judgment module, and a control consumption module;
[0023] The data acquisition module is used to acquire feeder data before a fault occurs in the flexible DC transmission system and surplus power after a fault occurs.
[0024] The weight determination module is used to determine, based on the feeder data, the switching priority weight of each feeder in the flexible DC transmission system.
[0025] The sorting module is used to sort all the feeders in descending order of their switching priority weights to obtain a feeder priority switching list.
[0026] The capacity calculation and judgment module is used to sequentially accumulate the power data of the feeder before the feeder fault in the feeder data according to the feeder priority switching list to obtain the total power of the feeder; until the accumulated total power of the feeder is greater than the surplus power, the target switching feeder combination is obtained;
[0027] The control consumption module is used to control the operation of energy-consuming devices connected to all feeders in the target switching feeder combination, so as to consume the surplus power.
[0028] Optionally, the feeder data includes the maximum total rated power of all feeders in the flexible DC transmission system, as well as the historical number of operations, total rated power, and power data of each feeder at the moment before the fault; the weight determination module includes a capacity coefficient determination submodule, a penalty coefficient determination submodule, and a weight determination submodule;
[0029] The capacity factor determination submodule is used to determine the capacity factor corresponding to each feeder based on the maximum total rated power of the feeder and the total rated power of each feeder.
[0030] The penalty coefficient determination submodule is used to determine the penalty coefficient for the number of actions corresponding to each feeder based on the historical number of actions of each feeder.
[0031] The weight determination submodule is used to determine the switching priority weight corresponding to each feeder based on the capacity coefficient and the action number penalty coefficient of each feeder.
[0032] Optionally, the capacity factor determination submodule is further configured to use the quotient of the total rated power of each feeder and the total rated power of the maximum feeder as the capacity factor corresponding to each feeder; and / or,
[0033] The weight determination submodule is further configured to use the product of the capacity coefficient and the action number penalty coefficient of each feeder as the switching priority weight corresponding to each feeder.
[0034] Optionally, the penalty coefficient determination submodule is further configured to calculate, based on the historical number of actions of each feeder, using a penalty coefficient formula, to obtain a penalty coefficient for the number of actions corresponding to each feeder; the penalty coefficient formula is:
[0035]
[0036] In the formula, K Nj N is the penalty coefficient for the number of actions of the j-th feeder. j This represents the historical number of actions performed on the j-th feeder.
[0037] On the other hand, a terminal device is provided, including a processor and a memory;
[0038] The memory is used to store program code and transmit the program code to the processor;
[0039] The processor is used to execute the above-described control method for offshore converter stations to call wind turbine energy consumption devices to overcome faults, according to the instructions in the program code.
[0040] This invention relates to a control method, apparatus, and equipment for an offshore converter station to utilize wind turbine energy-consuming devices during fault conditions. The control method includes acquiring feeder data before and after a fault in the flexible DC transmission system; determining the switching priority weight of each feeder in the flexible DC transmission system based on the feeder data; sorting all feeders by their switching priority weights from highest to lowest to obtain a feeder priority switching list; progressively accumulating the power data of each feeder in the feeder data before the fault, according to the feeder priority switching list, to obtain the total feeder power; and finally, obtaining a target feeder combination when the accumulated total feeder power exceeds the surplus power; and controlling the operation of energy-consuming devices connected to all feeders in the target feeder combination to consume the surplus power.
[0041] As can be seen from the above technical solutions, this application has the following advantages: The control method for the offshore converter station to call wind turbine energy consumption devices to ride through faults determines the switching priority weight of each feeder by using feeder data before the fault in the flexible DC transmission system. Based on the switching priority weight of each feeder and the power data at the moment before the fault, the target switching feeder combination is determined, ensuring that the cumulative total power of the target switching feeder combination can quickly meet the surplus power demand, avoiding resource waste, and solving the technical problem of resource waste caused by the lack of call for wind turbine energy consumption devices to participate in surplus power balancing in existing fault ride-through schemes.
[0042] The control device for the offshore converter station to call the wind turbine energy consumption device to overcome the fault obtains the switching priority weight of each feeder and the power data at the moment before the fault through the data acquisition module, weight determination module, sorting module, capacity calculation and judgment module and control consumption module to determine the target switching feeder combination. This ensures that the cumulative total power of the target switching feeder combination can quickly meet the surplus power demand and also ensures the effectiveness of the flexible DC transmission system fault handling. Attached Figure Description
[0043] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0044] Figure 1 This is a flowchart illustrating the steps of the control method for a marine converter station to call upon the wind turbine energy-consuming device to overcome a fault, as described in an embodiment of this application.
[0045] Figure 2 This is a flowchart illustrating the control method for a marine converter station to call upon a wind turbine energy-consuming device to overcome a fault, as described in an embodiment of this application.
[0046] Figure 3 This is a flowchart illustrating the framework of the control device for the offshore converter station to call upon the wind turbine energy consumption device to overcome a fault, as described in the embodiments of this application.
[0047] Figure 4 This is a schematic diagram of the terminal device described in an embodiment of this application. Detailed Implementation
[0048] To make the inventive objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0049] In the description of the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly specified.
[0050] In the embodiments of this application, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments of this application according to the specific circumstances.
[0051] This application provides a control method, apparatus, and equipment for offshore converter stations to utilize wind turbine energy-consuming devices to overcome faults, solving the technical problem of resource waste caused by existing fault ride-through schemes that do not utilize wind turbine energy-consuming devices to participate in surplus power balancing. In this embodiment, the control method, apparatus, and equipment for offshore converter stations to utilize wind turbine energy-consuming devices to overcome faults are applicable to power systems such as offshore wind power flexible DC transmission systems, two-terminal flexible DC transmission systems, multi-terminal flexible DC transmission systems, and large-capacity overhead line flexible transmission systems.
[0052] Example 1:
[0053] Figure 1This is a flowchart illustrating the steps of the control method for a marine converter station to call upon the wind turbine energy-consuming device to overcome a fault, as described in an embodiment of this application. Figure 2 This is a flowchart illustrating the control method for a marine converter station to call upon a wind turbine energy-consuming device to overcome a fault, as described in an embodiment of this application.
[0054] like Figure 1 and Figure 2 As shown in the figure, this application provides a control method for an offshore converter station to call upon the wind turbine energy consumption device to overcome a fault, including the following steps:
[0055] S1. Obtain feeder data before a fault occurs in the flexible DC transmission system and the surplus power after the fault occurs.
[0056] It should be noted that during the process of the offshore converter station calling upon the wind turbine energy-consuming device to overcome the fault, step S1 involves first determining the feeder data before the fault and the surplus power P after the fault required for the offshore converter station in the flexible DC transmission system to call upon the wind turbine energy-consuming device to overcome the fault. drop The energy-consuming devices required to power the flexible DC transmission system to achieve fault ride-through can be obtained in subsequent analysis. In this embodiment, the feeder data includes the maximum total rated power P of all feeders in the flexible DC transmission system. max and the historical number of operations N for each feeder j Total rated power P Nj Power data P at the moment before the fault j Where j represents the j-th feeder. If the flexible DC transmission system is an offshore wind power flexible DC transmission system, the energy-consuming devices of all wind turbines on the same feeder are called simultaneously. Therefore, the historical number of operations of wind turbines on a feeder is the same and equal to N. j Total rated power P Nj Equal to the sum of the rated power of all fans on the feeder; power data P at the moment before the fault. j It equals the sum of the power data of all wind turbines on the feeder at the moment before the failure. The statistical period for the number of historical actions is a fixed time period, which is usually one year.
[0057] Understandably, in flexible DC transmission systems, redundant channels of existing equipment (such as protection devices and measuring instruments) can be used to collect feeder data before a fault occurs. Similarly, existing equipment capable of collecting current and voltage, such as meters and sensors, can be used to collect surplus power after a fault.
[0058] S2. Based on the feeder data, determine the switching priority weight of each feeder in the flexible DC transmission system.
[0059] It should be noted that step S2 involves analyzing the feeder data obtained in step S1 to obtain the switching priority weight W, which incorporates the feeder's action penalty coefficient and capacity coefficient. j This provides data for screening energy-consuming devices that consume surplus power to achieve fault ride-through. In this embodiment, in the flexible DC transmission system, the switching priority weight of each feeder is determined based on feeder data. This can be achieved by quantitatively analyzing key parameters of each feeder (such as the number of historical operations N). j Total rated power P Nj Power data P at the moment before the fault j To assess the correlation between feeder switching priorities and system operating targets (such as surplus power), a dynamic and quantifiable evaluation system is constructed to determine the priority weights for feeder switching. This system guides the rational sequencing of switching operations for energy-consuming devices connected to feeders, preventing the direct switching of all energy-consuming devices in the flexible DC transmission system and thus avoiding resource waste. These energy-consuming devices can be traditional direct-series DC energy-consuming devices or modular cascaded DC energy-consuming devices. Traditional direct-series energy-consuming devices use a single resistor directly connected in series in the DC circuit. Modular cascaded energy-consuming devices consist of multiple energy-consuming modules (such as resistors) connected in parallel.
[0060] For example, flexible DC transmission systems need to balance power supply and demand in real time, maintain voltage / frequency stability, and consider the safety and economy of power equipment. When a flexible DC transmission system needs to consume surplus power, the optimal combination of energy-consuming devices must be selected for switching operations to avoid resource waste. In this embodiment, the switching priority weight of each feeder can be determined through key parameters of the feeder data, and the optimal combination of energy-consuming devices can be selected based on the switching priority weight. Specifically, the switching priority weight of each feeder is adjusted in real time according to the state changes of the flexible DC transmission system (such as the output of new energy sources and sudden load changes) to ensure that the selected energy-consuming devices match the current demand for consuming surplus power. In other embodiments, a digital twin model of the flexible DC system can be constructed based on feeder data. The digital twin model is driven by real-time feeder data for simulation, dynamically mapping the impact of feeder switching on the system state, and thus determining the switching priority weight of the feeders. For example, a digital twin model of the electromagnetic transients or electromechanical transients of the flexible DC transmission system can be established, and the digital twin model includes key equipment parameters such as feeders, converters, and transformers. The digital twin model integrates a real-time data interface to synchronously collect system data such as feeder power, voltage, frequency, and equipment status (e.g., circuit breaker temperature). Simulation data (e.g., voltage stability margin, frequency deviation rate) is obtained by simulating switching operations for each feeder. Simulations are triggered at regular intervals (e.g., 5-10 seconds) to dynamically update weights, adapting to fluctuations in power output from new energy sources (e.g., wind turbines) or sudden load changes. The simulation data is input into a pre-defined weighting function within the digital twin model to calculate the feeder switching priority weights.
[0061] S3. Sort all feeders according to their switching priority weights from largest to smallest to obtain a feeder priority switching list.
[0062] It should be noted that step S3 involves sorting the feeder switching priority weights obtained in step S2 from largest to smallest to obtain a feeder priority switching list. For example, all feeders are sorted by their switching priority weight W. j Sort the feeders from largest to smallest to generate a priority feeder switching list. Example: W1 > W 10 >W2>…>W3. In this embodiment, the control method for the offshore converter station to call the wind turbine energy consumption device to overcome the fault provides a basis for determining the total power of the feeders by accumulating the feeder power through the feeder priority switching list, and selects the optimal target switching feeder combination to consume the surplus power and achieve fault ride-through.
[0063] Understandably, each feeder is assigned a numerical weight (such as a switching priority weight), which comprehensively reflects the feeder's contribution to the operation of the flexible DC transmission system (such as power compensation capability and voltage support capability) and constraints (such as equipment health and overload risk). A higher switching priority weight indicates that the energy-consuming devices on that feeder are given higher priority in the switching operation. In a flexible DC transmission system, the feeder priority switching list is generated by sorting all feeders from highest to lowest switching priority weight. This list clearly defines the execution order of switching operations for energy-consuming devices connected to feeders under different operating conditions, thereby achieving safe, economical, and efficient consumption of surplus power.
[0064] S4. According to the feeder priority switching list, the power data of the feeder before the feeder fault is accumulated step by step to obtain the total power of the feeder; until the accumulated total power of the feeder is greater than the surplus power, the target feeder switching combination is obtained.
[0065] It should be noted that step S4 is based on the header of the feeder priority switching list obtained in step S3, and the power data P of each feeder obtained in step S1 before the fault. j By gradually accumulating the power, the total power P of the feeder can be obtained. sum Only when P sum ≥P drop At that time, the power data P of the feeder line before the fault occurred. jThe accumulated feeder combination is the target switching feeder combination. In this embodiment, the offshore converter station uses the control method for wind turbine energy consumption device fault ride-through, taking the feeder as a whole unit. The feeders are prioritized by switching priority weights, and then the power data of the feeder before the fault is accumulated according to the feeder priority switching list to determine the target switching feeder combination. The target switching feeder combination is used as the flexible DC transmission system to consume surplus power to achieve fault ride-through and obtain the optimal feeder-level switching decision.
[0066] Understandably, in determining the target feeder combination, the power data P at the moment before the feeder fault can be accumulated based on the feeder priority switching list. j The target feeder combination is determined by gradually approximating the surplus power. In other embodiments, a greedy algorithm is used to prioritize feeders whose power is closest to the surplus power, reducing redundancy. For example, the power data P of each feeder at the moment before the fault is calculated. j With the current surplus power P drop The difference ΔP j The smaller the difference, the closer the power of the feeder is to the surplus demand, according to the difference ΔP. j Sort the feeders from smallest to largest to generate a candidate list. Starting from the top of the list, select feeders sequentially and accumulate the power until the total power P of the feeders is reached. sum ≥ Surplus power P drop If a certain feeder is put into operation, the total power P of the feeder will be... sum Excess power P drop If there are too many (e.g., exceeding the threshold of 10%), skip the feeder and select the second-best candidate to reduce the risk of over-investment and avoid wasting resources.
[0067] S5. Control the operation of all energy-consuming devices connected to the feeders in the target switching feeder combination to consume surplus power.
[0068] It should be noted that step S5 is based on step 4, which determines the target switching feeder combination and controls the operation of all energy-consuming devices in the target switching feeder combination to meet the demand for consuming surplus power and achieve fault ride-through of the flexible DC transmission system. In this embodiment, in the process of controlling the energy-consuming devices connected to all feeders in the target switching feeder combination to consume surplus power, it can be understood that the surplus power is matched by directly switching the feeders and their connected energy-consuming devices (such as resistors, energy storage devices, adjustable loads, etc.). Specifically, the offshore converter station calls upon the energy-consuming devices according to the target switching feeder combination to consume surplus power.
[0069] In this embodiment, the control method for offshore converter stations to call wind turbine energy consumption devices to overcome faults determines the target feeder combination by using the switching priority weight of each feeder and the power data at the moment before the fault. This ensures that the total cumulative power of the target feeder combination can quickly meet the surplus power demand, making the control method for offshore converter stations to call wind turbine energy consumption devices to overcome faults highly adaptable and versatile, and also ensuring the effectiveness of fault handling in flexible DC transmission systems.
[0070] It should be noted that the control method for the offshore converter station to call the wind turbine energy consumption device to overcome the fault provides technical support for the efficient and accurate use of the energy consumption device, and ultimately achieves the goal of the flexible DC transmission system to "eliminate centralized DC energy consumption devices, reduce engineering costs, and improve system economy".
[0071] This application provides a control method for a marine converter station to call upon wind turbine energy-consuming devices to overcome faults. The method includes acquiring feeder data before a fault occurs in the flexible DC transmission system and the surplus power after the fault; determining the switching priority weight of each feeder in the flexible DC transmission system based on the feeder data; sorting all feeders by their switching priority weights from largest to smallest to obtain a feeder priority switching list; sequentially accumulating the power data of the feeders at the moment before the fault in the feeder data according to the feeder priority switching list to obtain the total feeder power; until the accumulated total feeder power exceeds the surplus power, a target feeder combination is obtained; and controlling the operation of energy-consuming devices connected to all feeders in the target feeder combination to consume the surplus power. The control method for offshore converter stations to utilize wind turbine energy-consuming devices to overcome faults determines the switching priority weight of each feeder based on feeder data before the fault in the flexible DC transmission system. It then determines the target feeder combination based on the switching priority weight of each feeder and the power data at the moment before the fault, ensuring that the cumulative total power of the target feeder combination quickly meets the surplus power demand, avoiding resource waste. This solves the technical problem of resource waste caused by existing fault ride-through schemes that do not utilize wind turbine energy-consuming devices to participate in surplus power balancing.
[0072] In one embodiment of this application, the priority weight for switching each feeder in the flexible DC transmission system is determined based on feeder data, including:
[0073] The capacity factor corresponding to each feeder is determined based on the total rated power of the maximum feeder and the total rated power of each feeder.
[0074] Based on the historical number of actions for each feeder, a penalty coefficient for the number of actions corresponding to each feeder is obtained;
[0075] The switching priority weight corresponding to each feeder is determined based on the capacity coefficient and the penalty coefficient for the number of actions of each feeder.
[0076] It should be noted that in the process of obtaining the switching priority weight for each feeder, the capacity coefficient K is used. Pj Penalty coefficient K for the number of actions Nj Calculating the switching priority weight can be understood as prioritizing the use of feeders with larger capacity and fewer operations. In this embodiment, the weight is based on the historical number of operations N of the j-th feeder. j Determine the penalty coefficient K for the number of actions of the j-th feeder. Nj The more actions performed, the stronger the penalty, suppressing the re-switching of feeders with historically high action counts and balancing the action counts of energy-consuming devices across feeders. This is based on the total rated power P of the j-th feeder. Nj Total rated power P of the maximum feeder max Determine the capacity factor K of the j-th feeder. Pj Among them, the control method for the offshore converter station to call the wind turbine energy consumption device to overcome the fault uses the penalty coefficient K for the number of actions. Nj Dynamic penalties are applied to avoid excessive wear and tear on energy-consuming devices caused by long-term priority switching of high-capacity feeders, thereby balancing the operating losses of energy-consuming devices on each feeder and reducing maintenance costs.
[0077] In one embodiment of this application, determining the capacity factor corresponding to each feeder based on the maximum total rated power of the feeder and the total rated power of each feeder includes: taking the quotient of the total rated power of each feeder and the maximum total rated power of the feeder as the capacity factor corresponding to each feeder.
[0078] It should be noted that when determining the capacity factor K of the j-th feeder... Pj During the process, the total rated power P of the j-th feeder can be used as a reference. Nj Total rated power P of the maximum feeder max The first capacity factor formula is used for calculation. Example: If the maximum total rated capacity P of all feeders in a wind farm... ma If the total rated power P of the feeder is 130MW, then... Nj The capacity factor K is 120MW. Pj The total rated power P is 120 / 130 = 0.923. Nj The capacity factor K for a 130MW wind turbine feeder Pj The value is 130 / 130 = 1. In other embodiments, the capacity factor K of the j-th feeder can also be determined using the second capacity factor formula based on dynamic capacity utilization. Pj To avoid high-rated-power but high-load feeders being mistakenly prioritized, thus reducing the risk of overload, the first capacity factor formula is:
[0079]
[0080] The formula for the second capacity coefficient is:
[0081]
[0082] In the formula, P 当前j Let P be the current load power of the j-th feeder. 当前min This represents the minimum current load power of all feeders.
[0083] In one embodiment of this application, determining the penalty coefficient for the number of actions corresponding to each feeder based on the historical number of actions of each feeder includes: calculating the penalty coefficient for the number of actions corresponding to each feeder using a penalty coefficient formula based on the historical number of actions of each feeder; the penalty coefficient formula is:
[0084]
[0085] In the formula, K Nj N is the penalty coefficient for the number of actions of the j-th feeder. j This represents the historical number of actions performed on the j-th feeder.
[0086] It should be noted that, within the statistical period, if the historical action count of the j-th feeder is 0, then the action count penalty coefficient K of the j-th feeder will be applied. Nj The value is 1; if the historical action count of the j-th feeder is 10, then the action count penalty coefficient K of the j-th feeder is 1. Nj The value is 0.09. In other embodiments, a time decay factor can be introduced, and the action number penalty coefficient can be updated by the time decay factor γ. For example, the updated action number penalty coefficient = γ * action number penalty coefficient. The action number penalty decays over time, avoiding the long-term influence of historical actions on the decision of the current target switching feeder combination.
[0087] In one embodiment of this application, determining the switching priority weight corresponding to each feeder based on the capacity coefficient and the number of actions penalty coefficient of each feeder includes: taking the product of the capacity coefficient and the number of actions penalty coefficient of each feeder as the switching priority weight corresponding to each feeder.
[0088] It should be noted that the priority weight W for determining the switching of the j-th feeder is... j In this process, it can be understood as adjusting the capacity factor K of the j-th feeder. Pj Penalty coefficient K based on the number of actions Nj Multiplying these together yields the switching priority weight W, which is a fusion of capacity and action count. jThis allows the offshore converter station to utilize wind turbine energy-consuming devices during fault transitions while simultaneously prioritizing the participation of large-capacity renewable energy sources (such as wind turbines) and minimizing the need for repeated switching of renewable energy sources with high historical operating frequencies. This ensures rapid consumption of surplus power during faults while reducing losses from repeated switching of high-frequency renewable energy sources. In this embodiment, a weighting formula is used to calculate the switching priority weight corresponding to each feeder based on the capacity coefficient and operating frequency penalty coefficient of each feeder. The weighting formula is as follows: The weighting formula can be understood as using the product of the capacity coefficient and the penalty coefficient for the number of actions of each feeder as the switching priority weight, which combines the optimization strategies of capacity adaptability and equipment protection; the control method that allows offshore converter stations to call wind turbine energy consumption devices to overcome faults can dynamically adjust the feeder priority, giving priority to feeders with sufficient capacity while avoiding equipment damage caused by frequent switching.
[0089] Example 2:
[0090] Figure 3 This is a flowchart illustrating the framework of the control device for the offshore converter station to call upon the wind turbine energy consumption device to overcome a fault, as described in the embodiments of this application.
[0091] like Figure 3 As shown in the figure, this application embodiment provides a control device for an offshore converter station to call the wind turbine energy consumption device to overcome a fault, including a data acquisition module 10, a weight determination module 20, a sorting module 30, a capacity calculation and judgment module 40, and a control consumption module 50.
[0092] Data acquisition module 10 is used to acquire feeder data before a fault occurs in the flexible DC transmission system and surplus power after a fault occurs.
[0093] The weight determination module 20 is used to determine the switching priority weight of each feeder in the flexible DC transmission system based on the feeder data.
[0094] The sorting module 30 is used to sort all feeders in descending order of their switching priority weights to obtain a feeder priority switching list.
[0095] The capacity calculation and judgment module 40 is used to gradually accumulate the power data of the feeder before the feeder fault in the feeder data according to the feeder priority switching list; until the accumulated total power of the feeder is greater than the surplus power, the target switching feeder combination is obtained.
[0096] The control consumption module 50 is used to control the operation of all energy-consuming devices connected to the feeders in the target switching feeder combination to consume surplus power.
[0097] It should be noted that the modules in the device of Embodiment 2 correspond to the steps in the method of Embodiment 1. Since Embodiment 1 has already detailed the steps of the control method for offshore converter stations to call upon wind turbine energy-consuming devices to overcome faults, this embodiment will not repeat the description of the modules in the control device for offshore converter stations to call upon wind turbine energy-consuming devices to overcome faults. In this embodiment, the control device for offshore converter stations to call upon wind turbine energy-consuming devices to overcome faults obtains the switching priority weight of each feeder and the power data at the moment before the fault through a data acquisition module, a weight determination module, a sorting module, a capacity calculation and judgment module, and a control consumption module. This determines the target feeder combination to be switched, ensuring that the cumulative total power of the target feeder combination quickly meets the surplus power demand and also ensuring the effectiveness of fault handling in the flexible DC transmission system.
[0098] In this embodiment, the feeder data includes the maximum total rated power of all feeders in the flexible DC transmission system, as well as the historical number of operations, total rated power, and power data of each feeder at the moment before the fault; the weight determination module 20 includes a capacity coefficient determination submodule, a penalty coefficient determination submodule, and a weight determination submodule;
[0099] The capacity factor determination submodule is used to determine the capacity factor corresponding to each feeder based on the maximum total rated power of the feeders and the total rated power of each feeder.
[0100] The penalty coefficient determination submodule is used to determine the penalty coefficient for each feeder based on the historical number of actions for each feeder.
[0101] The weight determination submodule is used to determine the switching priority weight corresponding to each feeder based on the capacity coefficient and action number penalty coefficient of each feeder.
[0102] In this embodiment of the application, the capacity factor determination submodule is further configured to use the quotient of the total rated power of each feeder and the maximum total rated power of the feeder as the capacity factor corresponding to each feeder; and / or,
[0103] The weight determination submodule is also used to take the product of the capacity coefficient and the action number penalty coefficient of each feeder as the switching priority weight corresponding to each feeder.
[0104] In this embodiment, the penalty coefficient determination submodule is further configured to calculate, based on the historical number of actions for each feeder using the penalty coefficient formula, the penalty coefficient for the number of actions corresponding to each feeder; the penalty coefficient formula is:
[0105]
[0106] In the formula, K Nj N is the penalty coefficient for the number of actions of the j-th feeder.j This represents the historical number of actions performed on the j-th feeder.
[0107] Example 3:
[0108] Figure 4 This is a schematic diagram of the terminal device described in an embodiment of this application.
[0109] like Figure 4 As shown, this application provides a terminal device, including a processor and a memory;
[0110] Memory is used to store program code and transfer the program code to the processor;
[0111] The processor is used to execute the above-mentioned control method for the offshore converter station to call the wind turbine energy consumption device to overcome the fault, according to the instructions in the program code.
[0112] It should be noted that the processor is used to execute the steps in the above-described embodiment of a control method for a offshore converter station to call upon a wind turbine energy-consuming device to overcome a fault, according to the instructions in the program code. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the above-described system / device embodiments.
[0113] For example, a computer program can be divided into one or more modules / units, one or more of which are stored in memory and executed by a processor to complete this application. One or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in a terminal device.
[0114] Terminal devices can be computing devices such as desktop computers, laptops, handheld computers, and cloud servers. Terminal devices may include, but are not limited to, processors and memory. Those skilled in the art will understand that this does not constitute a limitation on the terminal device, which may include more or fewer components than illustrated, or combinations of certain components, or different components. For example, terminal devices may also include input / output devices, network access devices, buses, etc.
[0115] The processor 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. A general-purpose processor can be a microprocessor or any conventional processor.
[0116] Memory can be an internal storage unit of a terminal device, such as a hard drive or RAM. Memory can also be an external storage device, such as a plug-in hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, memory can include both internal and external storage units. Memory is used to store computer programs and other programs and data required by the terminal device. Memory can also be used to temporarily store data that has been output or will be output.
[0117] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0118] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.
[0119] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0120] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0121] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0122] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.
Claims
1. A control method for a marine converter station to call upon the energy-consuming device of a wind turbine to overcome a fault, characterized in that, Includes the following steps: Acquire feeder data before a fault occurs in a flexible DC transmission system and surplus power after the fault occurs; Based on the feeder data, the switching priority weight of each feeder in the flexible DC transmission system is determined. The feeder priority switching list is obtained by sorting all the feeders in descending order of their switching priority weights. According to the feeder priority switching list, the power data of the feeder before the feeder fault in the feeder data is gradually accumulated to obtain the total power of the feeder; until the accumulated total power of the feeder is greater than the surplus power, the target feeder switching combination is obtained; Control the operation of all energy-consuming devices connected to the feeders in the target switching feeder combination to consume the surplus power.
2. The control method for controlling the fault-crossing of wind turbine energy-consuming devices at an offshore converter station according to claim 1, characterized in that, The feeder data includes the maximum total rated power of all feeders in the flexible DC transmission system, as well as the historical number of operations, total rated power, and power data of each feeder at the moment before the fault. Based on the feeder data, the switching priority weights for each feeder in the flexible DC transmission system are determined as follows: The capacity factor corresponding to each feeder is determined based on the total rated power of the maximum feeder and the total rated power of each feeder. Based on the historical number of actions for each feeder, an action number penalty coefficient corresponding to each feeder is obtained; Based on the capacity coefficient and the action number penalty coefficient of each feeder, the switching priority weight corresponding to each feeder is obtained.
3. The control method for controlling the fault-crossing of wind turbine energy-consuming devices at an offshore converter station according to claim 2, characterized in that, The capacity factor corresponding to each feeder is determined based on the total rated power of the maximum feeder and the total rated power of each feeder. This includes taking the quotient of the total rated power of each feeder and the total rated power of the maximum feeder as the capacity factor corresponding to each feeder.
4. The control method for controlling the fault-crossing of wind turbine energy-consuming devices at an offshore converter station according to claim 2, characterized in that, The penalty coefficient for each feeder's operation frequency is determined based on its historical operation frequency. This determination involves using a penalty coefficient formula to calculate the penalty coefficient for each feeder's operation frequency. The penalty coefficient formula is as follows: In the formula, K Nj N is the penalty coefficient for the number of actions of the j-th feeder. j This represents the historical number of actions performed on the j-th feeder.
5. The control method for controlling the fault-crossing of wind turbine energy-consuming devices at an offshore converter station according to claim 2, characterized in that, The switching priority weight corresponding to each feeder is determined based on the capacity coefficient and the action number penalty coefficient of each feeder, including: taking the product of the capacity coefficient and the action number penalty coefficient of each feeder as the switching priority weight corresponding to each feeder.
6. A control device for a marine converter station to call upon the energy-consuming device of a wind turbine to overcome a fault, characterized in that, include: The module includes a data acquisition module, a weight determination module, a sorting module, a capacity calculation and judgment module, and a consumption control module. The data acquisition module is used to acquire feeder data before a fault occurs in the flexible DC transmission system and surplus power after a fault occurs. The weight determination module is used to determine, based on the feeder data, the switching priority weight of each feeder in the flexible DC transmission system. The sorting module is used to sort all the feeders in descending order of their switching priority weights to obtain a feeder priority switching list. The capacity calculation and judgment module is used to sequentially accumulate the power data of the feeder before the feeder fault in the feeder data according to the feeder priority switching list to obtain the total power of the feeder; until the accumulated total power of the feeder is greater than the surplus power, the target switching feeder combination is obtained; The control consumption module is used to control the operation of energy-consuming devices connected to all feeders in the target switching feeder combination, so as to consume the surplus power.
7. The control device for triggering a fault in the wind turbine energy consumption device of an offshore converter station according to claim 6, characterized in that, The feeder data includes the maximum total rated power of all feeders in the flexible DC transmission system, as well as the historical number of operations, total rated power, and power data of each feeder at the moment before the fault; the weight determination module includes a capacity coefficient determination submodule, a penalty coefficient determination submodule, and a weight determination submodule; The capacity factor determination submodule is used to determine the capacity factor corresponding to each feeder based on the maximum total rated power of the feeder and the total rated power of each feeder. The penalty coefficient determination submodule; This is used to determine, based on the historical number of actions of each feeder, the action number penalty coefficient corresponding to each feeder; The weight determination submodule is used to determine the switching priority weight corresponding to each feeder based on the capacity coefficient and the action number penalty coefficient of each feeder.
8. The control device for triggering a fault in the wind turbine energy consumption device of an offshore converter station according to claim 7, characterized in that, The capacity factor determination submodule is further configured to use the quotient of the total rated power of each feeder and the total rated power of the maximum feeder as the capacity factor corresponding to each feeder; and / or, The weight determination submodule is further configured to use the product of the capacity coefficient and the action number penalty coefficient of each feeder as the switching priority weight corresponding to each feeder.
9. The control device for triggering a fault in the wind turbine energy consumption device of an offshore converter station according to claim 7, characterized in that, The penalty coefficient determination submodule is further configured to calculate, based on the historical number of actions for each feeder, using a penalty coefficient formula, to obtain the action count penalty coefficient corresponding to each feeder; the penalty coefficient formula is: In the formula, K Nj N is the penalty coefficient for the number of actions of the j-th feeder. j This represents the historical number of actions performed on the j-th feeder.
10. A terminal device, characterized in that, Including the processor and memory; The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute, according to the instructions in the program code, the control method for offshore converter stations to invoke wind turbine energy consumption devices to overcome faults as described in any one of claims 1-5.