Multi-objective coordinated control strategy system for reactive power resources of a wind power base
The multi-objective coordinated control strategy system for reactive power resources in wind power bases enables refined zoning, real-time data acquisition, and dynamic regulation of wind power bases. This solves the problems of insufficient real-time perception and dynamic response in traditional regulation methods, and improves voltage stability and reactive power resource utilization efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA RESOURCES POWER NEW ENERGY (CHAOYANG) CO LTD
- Filing Date
- 2026-01-21
- Publication Date
- 2026-05-29
AI Technical Summary
Traditional reactive power resource regulation methods lack real-time sensing and dynamic response capabilities, making it impossible to make timely and accurate adjustments based on wind power fluctuations, wind speed changes, and grid demand. This results in poor regulation effectiveness and difficulty in coping with complex and ever-changing wind power output conditions.
The system adopts a multi-objective coordinated control strategy for reactive power resources in wind power bases. Through intelligent zoning units, data acquisition units, regional prediction units, monitoring and analysis units, and optimization and control units, combined with terminal display units, it realizes refined zoning, real-time data acquisition, dynamic analysis, and dynamic allocation of reactive power resources in wind power bases, and uses distributed synchronous condensers for precise control.
It improves the voltage stability and reactive power utilization efficiency of wind power bases, enhances the system's anti-interference capability and ease of operation, and realizes dynamic response and optimized control to wind power fluctuations and wind speed changes.
Smart Images
Figure CN122118985A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of reactive power resource regulation technology, and in particular to a multi-objective coordinated control strategy system for reactive power resources in wind power bases. Background Technology
[0002] With the transformation of the global energy structure and the rapid development of renewable energy, wind power bases, as an important component of clean energy, are continuously expanding in scale and installed capacity, placing higher demands on the stable operation of the power grid and power quality. In the process of wind power generation, the wind turbine drives the generator rotor to rotate through the rotation of the wind turbine, generating electricity. However, this process generates reactive power. The rational management of reactive power resources directly affects the voltage stability, power factor, and compatibility with the power grid of the wind power base. To ensure that wind power bases can be safely and stably connected to the grid and operate efficiently, reactive power resources must be effectively regulated, dynamically adjusted according to the grid's operating status and internal changes within the wind power base, to maintain the system voltage within a reasonable range and avoid voltage collapse or power quality problems caused by insufficient or excessive reactive power.
[0003] However, traditional reactive power resource regulation methods mostly adopt fixed strategies or simple proportional adjustments, lacking the ability to perceive and respond dynamically to the operating status of wind power bases in real time. They cannot make timely and accurate adjustments based on wind power fluctuations, wind speed changes, and grid demand, resulting in poor regulation effects and difficulty in achieving accurate response and dynamic optimization to complex and ever-changing wind power output conditions.
[0004] To address the aforementioned technical deficiencies, a solution is proposed. Summary of the Invention
[0005] The purpose of this invention is to address the problem that traditional reactive power resource regulation methods often employ fixed strategies or simple proportional adjustments, lacking real-time perception and dynamic response capabilities to the operating status of wind power bases. This results in unsatisfactory regulation effects due to the inability to promptly and accurately regulate based on wind power fluctuations, wind speed changes, and grid demand, making it difficult to achieve accurate response and dynamic optimization to complex and ever-changing wind power output conditions.
[0006] To achieve the above objectives, the present invention adopts the following technical solution: a multi-objective coordinated control strategy system for reactive power resources in wind power bases, comprising an intelligent zoning unit, a data acquisition unit, a regional prediction unit, a monitoring and analysis unit, an optimization and control unit, and a terminal display unit; The intelligent partitioning unit obtains the wind power base topology through the base database, and partitions the wind power base topology into multiple reactive power control zones using a clustering algorithm. The partitioning is based on the electrical distance between nodes and the reactive power coupling degree. The data acquisition unit is used to collect risk data and fluctuation data of the wind power base through sensor arrays deployed in the wind power base, and send the risk data to the regional prediction unit and the fluctuation data to the monitoring and analysis unit. The regional prediction unit is used to receive risk data from wind power bases, perform analysis and calculations, derive the regional stability index of the reactive power control area, and divide the reactive power control area into volatile operation area and stable operation area. The monitoring and analysis unit is used to receive the fluctuation data of the wind power base, and to analyze and calculate the regional stability index of the turbulent operation area to obtain the regional control index of the turbulent operation area. Then, the control strategy for reactive power resources in the turbulent operation area is dynamically adjusted. The optimization and control unit is used to perform analysis and calculation based on a multi-objective optimization objective function to dynamically allocate reactive power resources in the wind power base.
[0007] Furthermore, the system also includes a terminal display unit, which integrates data from the intelligent zoning unit, regional prediction unit, monitoring and analysis unit, and optimization and control unit to dynamically display the operating status of each reactive power control zone and present it in an intuitive graphical or numerical form, helping operators to monitor the control of reactive power resources in the wind power base in real time.
[0008] Furthermore, the risk data includes voltage amplitude and reactive power values in the reactive power control zone, and the fluctuation data includes wind power fluctuations and wind speed data in the volatile operation zone.
[0009] Furthermore, the sensor array includes a voltage sensor, a power sensor, and a wind speed sensor.
[0010] Furthermore, the calculation process for the regional stability index of the reactive power control area is as follows: S11. Obtain and analyze the voltage amplitude and reactive power values of the reactive power control area. The voltage amplitude is obtained by selecting the voltage of the bus node in the reactive power control area as the representative value of the area, and the reactive power value is obtained by measuring the reactive power flow of the area's outlet line. S12. Calculate the regional stability index of the reactive power control zone according to the following formula. : in, This refers to the voltage amplitude in the reactive power control zone. The standard voltage amplitude of the preset reactive power control zone, This represents the reactive power value of the reactive power control zone. This represents the average reactive power value of the reactive power control zone. This represents the maximum reactive power capacity value of the reactive power control zone. The preset voltage weighting coefficient, The preset weighting coefficient for reactive power, and The regional stability index of the reactive power control area is used to reflect the degree of risk of wind power energy fluctuations in the reactive power control area. The higher the value of the regional stability index, the higher the risk of wind power energy fluctuations in the reactive power control area. S13. Obtain the preset region stability threshold. The regional stability index of the reactive power control area Comparative analysis, when If this occurs, it indicates a high risk of fluctuations in wind power energy within the reactive power control zone, and the zone will be classified as a fluctuating operation zone. S14, when If the risk of wind power energy fluctuations in the reactive power control area is low, it will be classified as a stable operation zone.
[0011] Furthermore, the calculation process for the regional control index of the volatile operating zone is as follows: S21. Obtain wind power fluctuation values and wind speed data in the turbulent operating area, and analyze and calculate them in conjunction with the regional stability index of the turbulent operating area; S22. Calculate the regional control index of the volatile operating zone according to the following formula. : in, For wind power fluctuations in volatile operating areas, The rated wind power for the preset fluctuating operating area, For the duration of wind speed data collection in the turbulent operating area, For the first The wind speed in the constantly fluctuating operating area The standard wind speed for the preset turbulent operating zone, A regional stability index for volatile operating areas. The preset weighting coefficient for wind power. The regional control index for the volatile operating area is used to analyze and judge the control scheme for reactive power resources in the volatile operating area, with the preset wind speed weighting coefficient. S23. Obtain the preset regional control threshold. Regional control index of volatile operating area Comparative analysis, when If the fluctuation is small, it indicates that the wind power energy fluctuation in the volatile operating area is small, and there is no need to dynamically adjust the control strategy for reactive power resources in the volatile operating area. S24, when If the fluctuation is large, it indicates that the wind power energy in the volatile operating area is large, and the control strategy for reactive power resources in the volatile operating area needs to be dynamically adjusted and the area should be designated as an area to be adjusted.
[0012] Furthermore, the process of dynamically allocating reactive power resources at wind power bases is as follows: S31. The formula for calculating the objective function of multi-objective optimization is as follows: in, The number of nodes in the area to be adjusted. For the first The actual voltage of each node For the preset first Standard voltage of each node This represents the number of reactive power compensation devices in the area to be adjusted. For the first The actual reactive power of the reactive power compensation device For the first Distributed reactive power of each reactive power compensation device; S32. Based on the analysis and calculation of the multi-objective optimization objective function, the reactive power resources of the area to be adjusted in the wind power base are dynamically allocated through distributed synchronous condensers.
[0013] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This multi-objective coordinated control strategy system for reactive power resources in wind power bases uses intelligent partitioning units to finely partition the wind power base based on node electrical distance and reactive power coupling degree, forming multiple reactive power control zones, thus laying a solid foundation for subsequent targeted regulation. Furthermore, the data acquisition unit uses sensor arrays to collect risk data (such as voltage amplitude and reactive power values) and fluctuation data (such as wind power fluctuations and wind speed data) in real time, ensuring the comprehensiveness and timeliness of system data. The regional prediction unit accurately identifies volatile and stable operating areas by calculating regional stability indices, enabling the system to prioritize high-risk areas. The monitoring and analysis unit combines fluctuation data and regional stability indices to calculate regional regulation indices, dynamically adjusting regulation strategies to effectively address wind power fluctuations and wind speed changes, improving the system's anti-interference capability. The optimization and regulation unit achieves dynamic allocation of reactive power resources through multi-objective optimization of objective functions, using distributed synchronous condensers for precise regulation, thereby optimizing resource allocation and improving voltage stability and reactive power utilization efficiency. In addition, the terminal display unit integrates data from each unit and dynamically displays the operating status in an intuitive manner, helping operators to grasp the regulation situation in real time, enhancing the system's visibility and ease of operation. Attached Figure Description
[0014] Figure 1 A schematic diagram of the system flow of the present invention is shown. Detailed Implementation
[0015] 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0016] Examples, such as Figure 1 As shown, the multi-objective coordinated control strategy system for reactive power resources in wind power bases first uses an intelligent partitioning unit to obtain the wind power base topology from a base database. Then, a clustering algorithm is used to partition the wind power base topology into multiple reactive power control zones, based on node electrical distance and reactive power coupling degree. Next, a data acquisition unit uses a sensor array deployed in the wind power base, including voltage, power, and wind speed sensors, to collect risk and fluctuation data. The risk data is sent to the regional prediction unit, and the fluctuation data is sent to the monitoring and analysis unit. It should be noted that the risk data includes voltage amplitude and reactive power values in the reactive power control zones, while the fluctuation data includes wind power fluctuations and wind speed data in the volatile operation zones.
[0017] Then, the risk data of the wind power base is received through the regional prediction unit, analyzed and calculated to obtain the regional stability index of the reactive power control area, and the reactive power control area is divided into the turbulent operation area and the stable operation area. The calculation process for the regional stability index of the reactive power control area is as follows: S11. Obtain and analyze the voltage amplitude and reactive power values of the reactive power control area. The voltage amplitude is obtained by selecting the voltage of the bus node (such as the wind farm bus or the low-voltage side bus of the substation) in the reactive power control area as the representative value of the area. The reactive power value is obtained by measuring the reactive power flow of the area's outgoing line (such as the outgoing line side of the substation). S12. Calculate the regional stability index of the reactive power control zone according to the following formula. : in, This refers to the voltage amplitude in the reactive power control zone. The standard voltage amplitude of the preset reactive power control zone, This represents the reactive power value of the reactive power control zone. This represents the average reactive power value of the reactive power control zone. This represents the maximum reactive power capacity value of the reactive power control zone. The preset voltage weighting coefficient, The preset weighting coefficient for reactive power, and The regional stability index of the reactive power control area is used to reflect the degree of risk of wind power energy fluctuations in the reactive power control area. The higher the value of the regional stability index, the higher the risk of wind power energy fluctuations in the reactive power control area. S13. Obtain the preset region stability threshold. The regional stability index of the reactive power control area Comparative analysis, when If this occurs, it indicates a high risk of fluctuations in wind power energy in the reactive power control area, which will be classified as a fluctuating operation area, requiring further monitoring and analysis. S14, when If the risk of wind power energy fluctuations in the reactive power control area is low, it will be classified as a stable operation zone.
[0018] Subsequently, the monitoring and analysis unit receives the fluctuation data of the wind power base and analyzes and calculates it in conjunction with the regional stability index of the turbulent operation area to obtain the regional control index of the turbulent operation area. Then, the control strategy for reactive power resources in the turbulent operation area is dynamically adjusted. The calculation process for the regional control index in the volatile operating zone is as follows: S21. Obtain wind power fluctuation values and wind speed data in the turbulent operating area, and analyze and calculate them in conjunction with the regional stability index of the turbulent operating area; S22. Calculate the regional control index of the volatile operating zone according to the following formula. : in, For wind power fluctuations in volatile operating areas, The rated wind power for the preset fluctuating operating area, For the duration of wind speed data collection in the turbulent operating area, For the first The wind speed in the constantly fluctuating operating area The standard wind speed for the preset turbulent operating zone, A regional stability index for volatile operating areas. The preset weighting coefficient for wind power. The regional control index for the turbulent operation zone is used to analyze and judge the control scheme for reactive power resources in the turbulent operation zone, based on the preset wind speed weighting coefficient, to determine whether the control scheme corresponding to the current turbulent operation zone needs to be adjusted. S23. Obtain the preset regional control threshold. Regional control index of volatile operating area Comparative analysis, when If the fluctuation is small, it indicates that the wind power energy fluctuation in the turbulent operation area is small, and there is no need to dynamically adjust the control strategy for reactive power resources in the turbulent operation area. The current control strategy can continue to be used to control the reactive power resources in the area. S24, when If the fluctuation is large, it indicates that the wind power energy in the volatile operating area is large, and the control strategy for reactive power resources in the volatile operating area needs to be dynamically adjusted and the area should be designated as an area to be adjusted.
[0019] Finally, the reactive power resources of the wind power base are dynamically allocated by the optimized control unit based on the multi-objective optimization objective function. The process of dynamically allocating reactive power resources at wind power bases is as follows: S31. The formula for calculating the objective function of multi-objective optimization is as follows: in, The number of nodes in the area to be adjusted. For the first The actual voltage of each node For the preset first Standard voltage of each node This represents the number of reactive power compensation devices in the area to be adjusted. For the first The actual reactive power of the reactive power compensation device For the first Distributed reactive power of each reactive power compensation device; S32. Based on the analysis and calculation of the multi-objective optimization objective function, the reactive power resources of the areas to be adjusted in the wind power base are dynamically allocated through distributed synchronous condensers. Furthermore, the terminal display unit integrates data from the intelligent zoning unit, regional prediction unit, monitoring and analysis unit, and optimization and control unit to dynamically display the operating status of each reactive power control zone (such as regional stability index, monitoring coefficient, etc.) and presents it in an intuitive graphical or numerical format, helping operators to monitor the control status of reactive power resources in the wind power base in real time.
[0020] This invention uses intelligent partitioning units to finely partition wind power bases based on node electrical distance and reactive power coupling, forming multiple reactive power control zones, thus laying a solid foundation for subsequent targeted regulation. Furthermore, the data acquisition unit uses a sensor array to collect risk data (such as voltage amplitude and reactive power values) and fluctuation data (such as wind power fluctuations and wind speed data) in real time, ensuring the comprehensiveness and timeliness of system data. The regional prediction unit accurately identifies volatile and stable operating areas by calculating a regional stability index, enabling the system to prioritize high-risk areas. The monitoring and analysis unit combines fluctuation data and the regional stability index to calculate a regional regulation index, dynamically adjusting the regulation strategy to effectively address wind power fluctuations and wind speed changes, improving the system's anti-interference capability. The optimization and regulation unit achieves dynamic allocation of reactive power resources through multi-objective optimization of the objective function, using distributed synchronous condensers for precise regulation, thereby optimizing resource allocation and improving voltage stability and reactive power utilization efficiency. In addition, the terminal display unit integrates data from each unit and dynamically displays the operating status in an intuitive manner, helping operators to grasp the regulation situation in real time, enhancing the system's visibility and ease of operation.
[0021] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value.
[0022] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A multi-objective coordinated control strategy system for reactive power resources in wind power bases, characterized in that, It includes an intelligent zoning unit, a data acquisition unit, a regional prediction unit, a monitoring and analysis unit, an optimization and control unit, and a terminal display unit; The intelligent partitioning unit obtains the wind power base topology through the base database, and partitions the wind power base topology into multiple reactive power control zones using a clustering algorithm. The partitioning is based on the electrical distance between nodes and the reactive power coupling degree. The data acquisition unit is used to collect risk data and fluctuation data of the wind power base through sensor arrays deployed in the wind power base, and send the risk data to the regional prediction unit and the fluctuation data to the monitoring and analysis unit. The regional prediction unit is used to receive risk data from wind power bases, perform analysis and calculations, derive the regional stability index of the reactive power control area, and divide the reactive power control area into volatile operation area and stable operation area. The monitoring and analysis unit is used to receive the fluctuation data of the wind power base, and to analyze and calculate the regional stability index of the turbulent operation area to obtain the regional control index of the turbulent operation area. Then, the control strategy for reactive power resources in the turbulent operation area is dynamically adjusted. The optimization and control unit is used to perform analysis and calculation based on a multi-objective optimization objective function to dynamically allocate reactive power resources in the wind power base.
2. The multi-objective coordinated control strategy system for reactive power resources in wind power bases according to claim 1, characterized in that, The system also includes a terminal display unit, which integrates data from the intelligent zoning unit, regional prediction unit, monitoring and analysis unit, and optimization and control unit to dynamically display the operating status of each reactive power control zone and present it in an intuitive graphical or numerical form to help operators keep abreast of the control of reactive power resources in the wind power base.
3. The multi-objective coordinated control strategy system for reactive power resources in wind power bases according to claim 1, characterized in that, The risk data includes voltage amplitude and reactive power values in the reactive power control zone, and the fluctuation data includes wind power fluctuations and wind speed data in the volatile operation zone.
4. The multi-objective coordinated control strategy system for reactive power resources in wind power bases according to claim 1, characterized in that, The sensor array includes a voltage sensor, a power sensor, and a wind speed sensor.
5. The multi-objective coordinated control strategy system for reactive power resources in wind power bases according to claim 1, characterized in that, The calculation process for the regional stability index of the reactive power control area is as follows: S11. Obtain and analyze the voltage amplitude and reactive power values of the reactive power control area. The voltage amplitude is obtained by selecting the voltage of the bus node in the reactive power control area as the representative value of the area, and the reactive power value is obtained by measuring the reactive power flow of the area's outlet line. S12. Calculate the regional stability index of the reactive power control zone according to the following formula. : in, This refers to the voltage amplitude in the reactive power control zone. The standard voltage amplitude of the preset reactive power control zone, This represents the reactive power value of the reactive power control zone. This represents the average reactive power value of the reactive power control zone. This represents the maximum reactive power capacity value of the reactive power control zone. The preset voltage weighting coefficient, The preset weighting coefficient for reactive power, and The regional stability index of the reactive power control area is used to reflect the degree of risk of wind power energy fluctuations in the reactive power control area. The higher the value of the regional stability index, the higher the risk of wind power energy fluctuations in the reactive power control area. S13. Obtain the preset region stability threshold. The regional stability index of the reactive power control area Comparative analysis, when If this occurs, it indicates a high risk of fluctuations in wind power energy within the reactive power control zone, and the zone will be classified as a fluctuating operation zone. S14, when If the risk of wind power energy fluctuations in the reactive power control area is low, it will be classified as a stable operation zone.
6. The multi-objective coordinated control strategy system for reactive power resources in wind power bases according to claim 1, characterized in that, The calculation process for the regional control index in the volatile operating zone is as follows: S21. Obtain wind power fluctuation values and wind speed data in the turbulent operating area, and analyze and calculate them in conjunction with the regional stability index of the turbulent operating area; S22. Calculate the regional control index of the volatile operating zone according to the following formula. : in, For wind power fluctuations in volatile operating areas, The rated wind power for the preset fluctuating operating zone, For the duration of wind speed data collection in the turbulent operating area, For the first The wind speed in the constantly fluctuating operating zone The standard wind speed for the preset turbulent operating zone, A regional stability index for volatile operating areas. The preset weighting coefficient for wind power. The regional control index for the volatile operating area is used to analyze and judge the control scheme for reactive power resources in the volatile operating area, with the preset wind speed weighting coefficient. S23. Obtain the preset regional control threshold. Regional control index of volatile operating area Comparative analysis, when If the fluctuation is small, it indicates that the wind power energy fluctuation in the volatile operating area is small, and there is no need to dynamically adjust the control strategy for reactive power resources in the volatile operating area. S24, when If the fluctuation is large, it indicates that the wind power energy in the volatile operating area is large, and the control strategy for reactive power resources in the volatile operating area needs to be dynamically adjusted and the area should be designated as an area to be adjusted.
7. The multi-objective coordinated control strategy system for reactive power resources in wind power bases according to claim 1, characterized in that, The process of dynamically allocating reactive power resources at wind power bases is as follows: S31. The formula for calculating the objective function of multi-objective optimization is as follows: in, The number of nodes in the area to be adjusted. For the first The actual voltage of each node For the preset first Standard voltage of each node This represents the number of reactive power compensation devices in the area to be adjusted. For the first The actual reactive power of the reactive power compensation device For the first Distributed reactive power of each reactive power compensation device; S32. Based on the analysis and calculation of the multi-objective optimization objective function, the reactive power resources of the area to be adjusted in the wind power base are dynamically allocated through distributed synchronous condensers.