A wind farm real-time monitoring system and method
By acquiring and analyzing key parameters in real time through a wind farm real-time monitoring system, and generating control commands and alarm signals, the problems of difficult maintenance and low safety of wind farm equipment have been solved, and the safe and efficient operation of the equipment has been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-12
- Publication Date
- 2026-03-20
AI Technical Summary
Wind farm equipment is difficult to maintain, has low safety, and high energy loss. Existing technologies cannot detect faults in a timely manner and make effective adjustments.
Design a real-time monitoring system for wind farms, including a field control module, a wind power monitoring module, a power monitoring module, a fault monitoring module, and a summary analysis module. The system generates control commands and alarm signals through real-time data analysis, enabling remote control and dual alarms.
It enables real-time monitoring and remote control of wind power equipment, improving safety and efficiency, timely detection of faults and optimization of operating status, and reducing energy consumption.
Smart Images

Figure CN118188345B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of wind farms, more particularly to a wind farm real-time monitoring system and method. BACKGROUND
[0002] The wind farm, i.e. the wind turbine generator set, is a new energy device that converts mechanical energy generated by large blades into electrical energy, has the advantage of no pollution, and is a popular way of converting electrical energy at present. However, when the wind farm is established, the volume of the generator set is too large, and a certain distance needs to be left between the blades to ensure the flow of wind and the disturbance of the blades during rotation, so the land occupation is extremely large, which makes the maintenance of the wind farm more difficult.
[0003] Generally speaking, when the wind farm unit fails, maintenance personnel need to perform real-time detection on site to determine the failure cause, which not only causes the maintenance to be not timely, but also makes the maintenance process more difficult due to the large size of the equipment. Due to the numerous factors of failure, blind adjustment, shutdown and maintenance often cause potential risks and cannot guarantee the safety of the maintenance personnel and the operation of the wind turbine equipment.
[0004] Therefore, how to provide a wind farm real-time monitoring system and method that can ensure maintenance safety, reduce energy loss, and timely know about abnormalities has become a problem to be solved in the field. SUMMARY
[0005] To solve the above problems, the present application provides the following technical solutions:
[0006] A wind farm real-time monitoring system comprises:
[0007] A field control module for adjusting the operation action of the wind power equipment according to the control instruction, and generating corresponding control result information according to the adjustment process;
[0008] A wind monitoring module connected with the wind power equipment for detecting wind speed data in the current environment;
[0009] A power monitoring module connected with the wind power equipment for detecting power data output by the wind power equipment;
[0010] A fault monitoring module connected with the wind power equipment for detecting operation parameter data of the wind power equipment;
[0011] An analysis module connected with the wind monitoring module, the power monitoring module and the fault monitoring module for acquiring and analyzing the wind speed data, the power data and the operation parameter data, generating a control instruction and an alarm signal according to the analysis result, and sending the control instruction to the field control module for remote control;
[0012] an alarm feedback module connected with the summary analysis module and the field control module, configured to receive the control result information, compare it with the information carried by the alarm signal, and generate a feedback signal according to the comparison result; the alarm feedback module completes the alarm action to the personnel according to the alarm signal and the feedback signal.
[0013] Preferably, in the wind farm real-time monitoring system, the field control module comprises:
[0014] an instruction receiving unit configured to receive control instructions in real time;
[0015] a control end electrically connected with the instruction receiving unit and the wind power equipment, configured to adjust the operation action of the wind power equipment according to the information carried by the control instructions;
[0016] a signal triggering unit connected with the control end, configured to generate the control result information of the action after the control end completes the action.
[0017] Preferably, in the wind farm real-time monitoring system, the wind power monitoring module comprises:
[0018] a wind power monitor arranged on the tower of the wind power equipment, configured to acquire wind direction data and wind speed data in the environment of the wind power equipment in real time;
[0019] a monitoring cloud station one connected with the wind power monitor, configured to acquire the monitored wind direction data and wind speed data in real time, and insert an identifier carrying time information and positioning information of the wind power equipment into the data to generate real-time wind power data.
[0020] Preferably, in the wind farm real-time monitoring system, the power monitoring module comprises:
[0021] a signal amplifier electrically connected with the booster station of the wind power equipment, configured to amplify the current signal and voltage signal at the output end of the booster station;
[0022] a current sensor connected with the output end of the signal amplifier, configured to detect the amplified current signal to generate current data;
[0023] a voltage sensor connected with the output end of the signal amplifier, configured to detect the amplified voltage signal to generate voltage data;
[0024] a monitoring cloud station two connected with the current sensor and the voltage sensor, configured to acquire the detected current data and voltage data in real time, and insert an identifier carrying time information and positioning information of the booster station into the data to generate real-time power data.
[0025] Preferably, in the wind farm real-time monitoring system, the fault monitoring module comprises:
[0026] a vibration monitoring unit arranged on the blades, the transmission components and the generator of the wind power equipment, for detecting vibration frequency data of the blades, the transmission components and the generator;
[0027] a monitoring PTZ three connected with the vibration monitoring unit, for acquiring the detected vibration frequency data in real time, and inserting identifiers carrying time information and positioning information of the blades, the transmission components and the generator in the data, to generate real-time vibration frequency data.
[0028] Preferably, in the wind farm real-time monitoring system, the summary analysis module comprises:
[0029] a summary unit connected with the monitoring PTZ one, the monitoring PTZ two and the monitoring PTZ three, for acquiring real-time wind data, real-time power data and real-time vibration frequency data, and dividing real-time wind data, real-time power data and real-time vibration frequency data of the same time information into the same data set according to identifiers carried by the data;
[0030] a wind power analysis unit connected with the summary unit, for acquiring real-time wind data in the data set corresponding to the present time, calculating an ideal deflection angle of the blades according to a preset power maximization criterion and wind direction data and wind speed data in the real-time wind data, and correspondingly generating a deflection instruction and a shutdown instruction;
[0031] a power fault analysis unit connected with the summary unit, for acquiring real-time power data in the data set corresponding to the present time, comparing a preset current standard and a voltage standard with current data and voltage data in the real-time power data respectively, and generating a power generation anomaly instruction according to a comparison result;
[0032] a device fault analysis unit connected with the summary unit, for acquiring real-time vibration frequency data in the data set corresponding to the present time, extracting features of each vibration frequency data in the real-time vibration frequency data, matching the features with preset fault features, and generating a running fault instruction according to a matching result;
[0033] an instruction issuing unit connected with the wind power analysis unit, the power fault analysis unit, the device fault analysis unit and the instruction receiving unit, for sending the generated deflection instruction, shutdown instruction, power generation anomaly instruction and running fault instruction to the instruction receiving unit;
[0034] An alarm generating unit connected with the wind power analysis unit, the power failure analysis unit and the equipment failure analysis unit, for generating an alarm signal corresponding to the instruction when detecting the instruction, and inserting the analysis result corresponding to the instruction into the alarm signal, the analysis result further including positioning information of the abnormal equipment.
[0035] Preferably, in the wind farm real-time monitoring system, the summary analysis module further includes:
[0036] A priority determination unit connected with the output end of the instruction issuing unit, for intercepting the instruction prepared to be output by the instruction issuing unit according to a preset interception criterion;
[0037] The preset interception criterion is that the priority determination unit first classifies the instruction output by the instruction issuing unit, divides the deflection instruction and the shutdown instruction into adjustment type instructions, and divides the power generation abnormal instruction and the operation failure instruction into failure type instructions; when the priority determination unit detects any failure type instruction in the instruction output by the instruction issuing unit, it intercepts the adjustment type instruction output by the instruction issuing unit until the failure type instruction is eliminated.
[0038] Preferably, in the wind farm real-time monitoring system, the alarm feedback module includes:
[0039] An alarm unit one connected with the alarm generating unit, for receiving the alarm signal, restoring the analysis result carried by the alarm signal, sending it to the maintenance personnel and executing the alarm action;
[0040] An alarm unit two connected with the alarm generating unit and the signal triggering unit, for restoring the analysis result carried by the alarm signal, comparing it with the control result information; when the control result information is consistent with the analysis result, a recovery feedback signal is generated, and when the control result information is inconsistent with the analysis result, a failure feedback signal is generated; the recovery feedback signal and the failure feedback signal are sent to the maintenance personnel and the alarm action is executed;
[0041] A terminal device connected with the alarm unit one and the alarm unit two, carried by the maintenance personnel, for displaying the analysis result, the recovery feedback signal and the failure feedback signal, and being able to execute the alarm action.
[0042] A wind farm real-time monitoring method, including the following steps:
[0043] S1, establishing a field control end, adjusting the operation state of the wind power equipment by remotely receiving control instructions, and generating control result information of this control process after the adjustment is completed;
[0044] S2, monitoring sensor devices are arranged on key components of the wind power equipment, wind power parameters, electric power parameters and vibration frequency parameters of the wind power equipment during operation are acquired, and corresponding time labels and position labels are inserted on the parameters;
[0045] S3, the detected parameters are summarized, the wind power parameters, electric power parameters and vibration frequency parameters are analyzed according to preset diagnostic criteria, the ideal deflection angle of the blade is calculated according to preset power maximization criteria and wind direction data and wind speed data in real-time wind power data, and corresponding deflection instructions and shutdown instructions are generated, the power generation abnormal instruction is generated according to the comparison between the preset current standard and voltage standard and the current data and voltage data in the real-time electric power data, the running fault instruction is generated according to the matching between the characteristics of each vibration frequency data in the real-time vibration frequency data and the preset fault characteristics, and the running fault instruction is generated according to the matching result;
[0046] S4, the generated instructions are classified, the deflection instructions and shutdown instructions are divided into adjustment type instructions, and the power generation abnormal instructions and running fault instructions are divided into fault type instructions;
[0047] S5, the instructions are determined before the instructions are issued to the on-site control end, when any fault type instruction exists in the output instructions, the adjustment type instructions output by the fault type instruction are intercepted until the fault type instruction is eliminated;
[0048] S6, the analysis result and the generated instructions are sent to the device terminal in the maintenance personnel, the first alarm is performed through the device terminal, the control result information output by the on-site control end after the control process is acquired, the control result information is matched with the analysis result, and the second alarm is performed through the device terminal when the matching fails.
[0049] Preferably, in the wind farm real-time monitoring method, the ideal deflection angle of the blade is calculated according to the preset power maximization criteria and the wind direction data and wind speed data in the real-time wind power data, and corresponding deflection instructions and shutdown instructions are generated, which comprises:
[0050] When the wind speed data is too low, the shutdown instruction is generated, and the wind power equipment is remotely controlled to stop running;
[0051] When the wind direction data is not ideal and the wind speed data meets the operation standard, the ideal deflection angle of the blade is calculated and corresponding deflection instructions are generated, and the blade is remotely controlled to deflect to the ideal deflection angle.
[0052] According to the technical scheme, the application has the following advantages compared with the prior art:
[0053] The application provides a wind farm real-time monitoring system and method, which obtains key operation parameters in real time through various monitoring modules, analyzes the key parameters through a summary analysis module, obtains the best ideal operation state, and discovers fault information in time; the ideal operation state and the fault information are issued to a field control module in the form of instructions to control equipment operation, and result information is generated after the control process ends; an alarm feedback module receives the fault information to perform a first alarm, and performs a second alarm by comparing the result information with the ideal operation state; the fault type instructions are preferentially obtained and the adjustment type instructions are intercepted while the instructions are issued; the application realizes comprehensive detection of operation parameters, improves fault detection accuracy; adjusts the blade angle in time to maximize power output; stops the wind turbine operation in time to avoid useless power consumption; the adjustment instructions are intercepted to avoid operation in the presence of faults, prevent faults from aggravating, and improve the safety of the wind farm through double alarms. BRIEF DESCRIPTION OF DRAWINGS
[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only constitute a part of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of the provided drawings.
[0055] Figure 1 is a system flowchart of the present application;
[0056] Figure 2 is a method flowchart of the present application. DETAILED DESCRIPTION
[0057] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments only constitute a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application. The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments only constitute a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.
[0058] In the present application, the terms "first", "second", "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance; the term "multiple" refers to two or more, unless otherwise explicitly limited. The terms "mounting", "connection", "connection", "fixing" and the like should be broadly understood, for example, "connection" can be fixed connection, or detachable connection, or integrally connected; "connection" can be directly connected, or indirectly connected through an intermediate medium. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.
[0059] In the description of the present application, it should be understood that the terms "up", "down", "left", "right", "front", "back" and the like indicate the orientation or positional relationship shown in the drawings, and are only for the purpose of facilitating the description of the present application and simplifying the description, and do not indicate or imply that the device or unit referred to must have a particular direction, be constructed and operated in a particular orientation, therefore, it cannot be understood as a limitation on the present application.
[0060] In the description of the present application, the terms "one embodiment", "some embodiments", "a specific embodiment" and the like mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.
[0061] In one embodiment, please refer to Figure 1 A real-time monitoring system for a wind farm, comprising:
[0062] A field control module for adjusting the operating action of the wind power equipment according to the control instruction, and generating corresponding control result information according to the adjustment process;
[0063] A wind monitoring module connected with the wind power equipment for detecting wind speed data under the current environment;
[0064] A power monitoring module connected with the wind power equipment for detecting power data output by the current wind power equipment;
[0065] A fault monitoring module connected with the wind power equipment for detecting operating parameter data of the current wind power equipment;
[0066] A summary analysis module connected with the wind monitoring module, the power monitoring module and the fault monitoring module for acquiring and analyzing the wind speed data, the power data and the operating parameter data, generating control instructions and alarm signals according to the analysis results, and sending the control instructions to the field control module for remote control;
[0067] an alarm feedback module connected with the summary analysis module and the field control module, configured to receive the control result information, compare it with the information carried by the alarm signal, and generate a feedback signal according to the comparison result; the alarm feedback module completes the alarm action to the personnel according to the alarm signal and the feedback signal.
[0068] The principle of the above embodiment is that the field control module receives the control instruction and adjusts the operation action of the wind power equipment according to the instruction, and feeds back the control result information generated in the adjustment process to the alarm feedback module; the wind monitoring module detects the wind speed data in the environment, the power monitoring module detects the power data output by the wind power equipment, and the fault monitoring module detects the operation parameter data of the wind power equipment; these modules form a network through the connection and transmit the data to the summary analysis module; the summary analysis module receives and summarizes the wind speed data, the power data and the operation parameter data, and analyzes them; according to the analysis result, the module can generate corresponding control instructions and alarm signals; the control instructions are remotely controlled through the connection with the field control module to adjust the operation of the wind power equipment; the alarm signal is sent to the personnel through the connection with the alarm feedback module; the alarm feedback module receives the control result information and compares it with the information carried by the alarm signal; according to the comparison result, the module generates a feedback signal to complete the alarm action to the personnel.
[0069] The beneficial effect of the above embodiment is that the real-time monitoring and remote control of the wind power equipment can be realized, the management and fault warning of the wind farm can be realized through data analysis and the alarm feedback module, and the safety and efficiency of the wind farm are improved.
[0070] For further optimization of the above technical solution, please refer to Figure 1 A wind farm real-time monitoring system, the field control module comprises:
[0071] an instruction receiving unit configured to receive the control instruction in real time;
[0072] a control end electrically connected with the instruction receiving unit and the wind power equipment, configured to adjust the operation action of the wind turbine equipment according to the information carried by the control instruction;
[0073] a signal triggering unit connected with the control end, configured to generate the control result information of the control action after the control end completes the control action.
[0074] It should be noted that some wind turbine generators are equipped with field control devices for controlling the operation state of blades, generators and other components; the embodiment realizes remote and flexible control by adding the instruction receiving unit, and generating the control result information of the control action after the control end completes the control action helps to optimize the equipment operation and fault diagnosis.
[0075] For further optimization of the above technical solutions, please refer to Figure 1 A wind farm real-time monitoring system, a wind monitoring module comprising:
[0076] A wind monitoring instrument, which is arranged on a tower of a wind power device, is used to acquire wind direction data and wind speed data in real time under the environment of the wind power device;
[0077] A monitoring gimbal, which is connected with the wind monitoring instrument, is used to acquire the monitored wind direction data and wind speed data in real time, and insert an identifier carrying time information and positioning information of the wind power device into the data to generate real-time wind power data.
[0078] It should be noted that the monitoring gimbal can be arranged near the unit or remotely according to the requirements, and if it is arranged near the unit, it is connected with the wind monitoring instrument by wire, and if it is arranged remotely, it is connected with the wind monitoring instrument wirelessly; the detection principle of the wind monitoring instrument is a prior art means; the embodiment realizes real-time monitoring of the wind direction and wind speed of the environment where the wind power device is located, and these data are very important for the operation and management of the wind farm. Accurate wind power data can help optimize the speed and angle of the wind power device to ensure the maximum utilization of wind energy. At the same time, real-time wind power data can also help to early warn possible storms or other severe weather conditions, and reduce the risk of damage and failure of the wind power device; the insertion of the identifier carrying the time information and the positioning information of the wind power device can provide information for subsequent diagnosis and maintenance.
[0079] For further optimization of the above technical solutions, please refer to Figure 1 A wind farm real-time monitoring system, a power monitoring module comprising:
[0080] A signal amplifier, which is electrically connected with a booster station of a wind power device, is used to amplify the current signal and voltage signal at the output end of the booster station;
[0081] A current sensor, which is connected with the output end of the signal amplifier, is used to detect the amplified current signal to generate current data;
[0082] A voltage sensor, which is connected with the output end of the signal amplifier, is used to detect the amplified voltage signal to generate voltage data;
[0083] A monitoring gimbal, which is connected with the current sensor and the voltage sensor, is used to acquire the detected current data and voltage data in real time, and insert an identifier carrying time information and positioning information of the booster station into the data to generate real-time power data.
[0084] It should be noted that the signal amplifier is connected in parallel with the booster station circuit in the wind farm, and when the power conversion occurs, the signal amplifier amplifies the current and voltage signals in real time, and the current and voltage in the circuit are detected by the current sensor and the voltage sensor; the operation principle of the monitoring holder two is the same as that of the monitoring holder one; the combination of the signal amplifier, the current sensor and the voltage sensor can monitor the current and voltage of the wind power equipment in real time, and the power calculation, energy generation estimation and load analysis can be carried out based on the current and voltage data to optimize the equipment operation and energy utilization; in addition, real-time power data is also helpful for monitoring the state of wind power equipment and fault warning, ensuring the safe and stable operation of the wind farm.
[0085] In order to further optimize the above technical solutions, please refer to Figure 1 A real-time monitoring system for wind farm, the fault monitoring module comprises:
[0086] A vibration monitoring unit is arranged on the blades, transmission components and generators of the wind power equipment, for detecting the vibration frequency data of the blades, transmission structure and generator;
[0087] A monitoring holder three is connected with the vibration monitoring unit, for obtaining the detected vibration frequency data in real time, and inserting an identifier carrying time information and positioning information of the blades, transmission components and generators in the data to generate real-time vibration frequency data.
[0088] It should be noted that the detection principle of the vibration monitoring unit is a prior art means; the operation principle of the monitoring holder three is the same as that of the monitoring holder one and the monitoring holder two, and the three can be used together; this embodiment can help to identify the wear of the blades, the imbalance of the transmission components and the failure of the generator, so that maintenance or replacement measures can be taken as soon as possible to avoid further damage to the equipment and increase in downtime.
[0089] In order to further optimize the above technical solutions, please refer to Figure 1 A real-time monitoring system for wind farm, the summary analysis module comprises:
[0090] A summary unit is connected with the monitoring holder one, the monitoring holder two and the monitoring holder three, for obtaining real-time wind data, real-time power data and real-time vibration frequency data, and dividing the real-time wind data, real-time power data and real-time vibration frequency data with the same time information into the same data set according to the identifier carried by the data;
[0091] A wind power analysis unit is connected with the summary unit, for obtaining the real-time wind data in the data set corresponding to the present time, calculating the ideal deflection angle of the blades according to the preset power maximization criterion and the wind direction data and wind speed data in the real-time wind data, and corresponding generating deflection instructions and shutdown instructions;
[0092] a power failure analysis unit connected with the aggregation unit, configured to acquire real-time power data in the data set corresponding to the current time, compare the preset current standard and voltage standard with current data and voltage data in the real-time power data respectively, and generate a power generation anomaly instruction according to the comparison result;
[0093] a device failure analysis unit connected with the aggregation unit, configured to acquire real-time vibration frequency data in the data set corresponding to the current time, extract features of each vibration frequency data in the real-time vibration frequency data, match the features with preset failure features, and generate a running failure instruction according to the matching result;
[0094] an instruction issuing unit connected with the wind power analysis unit, the power failure analysis unit, the device failure analysis unit, and the instruction receiving unit, configured to send the generated deflection instruction, shutdown instruction, power generation anomaly instruction, and running failure instruction to the instruction receiving unit;
[0095] an alarm generating unit connected with the wind power analysis unit, the power failure analysis unit, and the device failure analysis unit, configured to generate an alarm signal corresponding to any instruction when the instruction is detected, and insert an analysis result corresponding to the instruction into the alarm signal, the analysis result further including positioning information of the abnormal device.
[0096] It should be noted that the wind power analysis unit determines whether the wind power is abnormal by monitoring the wind power in real time. When the wind power is too small, the mechanical energy conversion is not obvious, and the wind farm equipment can be turned off to save energy consumption. When the wind power is too large, measures can be taken to avoid damage to the blades during rotation. The angle of the blades can be adjusted according to the wind direction. The threshold of the wind speed is 3 m / s and 25 m / s, respectively. Since the output voltage of the booster station is constant, the power failure analysis unit determines whether the voltage and current values are abnormal by connecting a monitoring circuit in parallel in the circuit for converting electrical energy. The current and voltage values of the circuit can be monitored in real time to avoid wind farm failures caused by circuit failures. The standards for voltage and current values are set according to actual conditions. The device failure analysis unit compares the threshold of the vibration frequency with the detected vibration data to monitor the running state of the device in real time. The threshold of the vibration frequency ranges from 4 to 30 HZ. The deflection instruction, shutdown instruction, power generation anomaly instruction, and running failure instruction in this embodiment correspond to the ideal blade angle, shutdown due to too small wind speed, voltage and current anomaly, and vibration frequency anomaly, respectively. This embodiment realizes centralized management and analysis of real-time data, and corresponding failure judgment and instruction generation.
[0097] To further optimize the above technical solution, please refer to Figure 1 A wind farm real-time monitoring system, the aggregation and analysis module further includes:
[0098] A priority determination unit is connected to the output end of the instruction issuing unit and used for intercepting the instruction prepared to be output by the instruction issuing unit according to preset interception criteria;
[0099] The preset interception criteria are that the priority determination unit first classifies the instruction output by the instruction issuing unit, divides the deflection instruction and the shutdown instruction into the adjustment type instruction, and divides the power generation abnormal instruction and the operation failure instruction into the fault type instruction; when the priority determination unit detects that there is any fault type instruction in the instruction output by the instruction issuing unit, the output adjustment type instruction is intercepted until the fault type instruction is eliminated.
[0100] It should be noted that in the state of existing fault, the angle of the blade is avoided to be adjusted even if the wind speed is appropriate, so the form of instruction type division and interception is adopted to avoid the adjustment and shutdown of the blade, and the personnel actively participates in the adjustment process; the embodiment can ensure the timely processing of the equipment fault, reduce further damage and increase the downtime.
[0101] In order to further optimize the above technical solution, please refer to Figure 1 A wind farm real-time monitoring system, the alarm feedback module comprises:
[0102] An alarm unit one is connected with the alarm generation unit, used for receiving the alarm signal, restoring the analysis result carried by the alarm signal, sending the analysis result to the maintenance personnel and executing the alarm action;
[0103] An alarm unit two is connected with the alarm generation unit and the signal triggering unit, used for restoring the analysis result carried by the alarm signal, comparing the analysis result with the control result information; when the control result information is consistent with the analysis result, a recovery feedback signal is generated; when the control result information is inconsistent with the analysis result, a fault feedback signal is generated; the recovery feedback signal and the fault feedback signal are sent to the maintenance personnel and the alarm action is executed;
[0104] A terminal device is connected with the alarm unit one and the alarm unit two, carried by the maintenance personnel, used for displaying the analysis result, the recovery feedback signal and the fault feedback signal, and capable of executing the alarm action.
[0105] It should be noted that the embodiment realizes double alarms, namely analysis result alarm and execution result alarm, and the use of the terminal device can also improve the efficiency of fault processing and the response ability of the related personnel, thereby realizing the effect of providing timely and accurate alarm feedback.
[0106] A wind farm real-time monitoring method, comprising the following steps:
[0107] S1, a field control end is established, a control instruction is received remotely to adjust the running state of the wind power equipment, and control result information of this control process is generated after the adjustment is completed;
[0108] S2, monitoring sensor devices are arranged on key components of the wind power equipment, wind power parameters, electric power parameters and vibration frequency parameters of the wind power equipment in the running process are acquired, and corresponding time marks and position marks are inserted on the parameters;
[0109] S3, the detected parameters are summarized, the wind power parameters, electric power parameters and vibration frequency parameters are analyzed according to preset diagnostic criteria, respectively; the ideal deflection angle of the blade is calculated according to the preset power maximization criterion and the wind direction data and wind speed data in the real-time wind power data, and the deflection instruction and shutdown instruction are correspondingly generated; the power generation abnormal instruction is generated according to the comparison between the preset current standard and voltage standard and the current data and voltage data in the real-time electric power data; the characteristics of each vibration frequency data in the real-time vibration frequency data are extracted, which are matched with the preset fault characteristics, and the running fault instruction is generated according to the matching result;
[0110] S4, the generated instructions are classified, the deflection instruction and shutdown instruction are divided into adjustment type instructions, and the power generation abnormal instruction and running fault instruction are divided into fault type instructions;
[0111] S5, the instructions are judged before the instructions are issued to the field control end, when there is any fault type instruction in the output instructions, the adjustment type instructions outputted are intercepted until the fault type instructions are eliminated;
[0112] S6, the analysis result and the generated instructions are sent to the equipment terminal in the maintenance personnel, the first alarm is performed through the equipment terminal; the control result information outputted by the field control end after this control process is acquired, which is matched with the analysis result, when the matching fails, the second alarm is performed through the equipment terminal.
[0113] The principle of the above embodiment is that the on-site control end remotely receives control instructions, adjusts the operating state of the wind power equipment, and records the control result information of this control process; monitoring sensor equipment is arranged on the key components of the wind power equipment to obtain wind power, electric power and vibration frequency parameters, and time marks and position marks are inserted in the data; then, the detected parameters are summarized, and the wind power, electric power and vibration frequency parameters are analyzed according to the preset diagnostic criteria; the deflection instructions and shutdown instructions are generated according to the power maximization criterion and real-time wind power data; the power generation abnormal instruction is generated by comparing the preset current standard and voltage standard with the real-time electric power data; the features of the real-time vibration frequency data are extracted and matched with the preset fault features to generate the operation fault instruction; the generated instructions are classified into adjustment type instructions and fault type instructions; before the instructions are issued, it is determined whether there is a fault type instruction; if there is a fault type instruction, the output of the adjustment type instruction is intercepted until the fault type instruction is eliminated; the analysis result and the generated instruction are sent to the equipment terminal of the maintenance personnel for the first alarm; after obtaining the control result information of the on-site control end, the analysis result is matched, and if the matching fails, the second alarm is performed.
[0114] The beneficial effects of the above embodiment are that real-time monitoring and fault diagnosis of the wind farm are realized; by monitoring the wind power, electric power and vibration frequency parameters in real time, combined with the preset diagnostic criteria, the operating state and potential faults of the wind power equipment can be quickly and accurately determined; by intercepting the adjustment type instructions, the priority execution of the fault type instructions is ensured, and personnel can take timely measures to handle equipment faults; the alarm function can improve the timeliness and effectiveness of fault handling, and ensure the safe and stable operation of the wind farm.
[0115] To further optimize the above technical solution, please refer to Figure 2 A real-time monitoring method for a wind farm, according to a preset power maximization criterion and wind direction data and wind speed data in real-time wind power data, the ideal deflection angle of the blade is calculated, and corresponding deflection instructions and shutdown instructions are generated, including:
[0116] When the wind speed data is too low, a shutdown instruction is generated to remotely control the wind power equipment to stop running;
[0117] When the wind direction data is not ideal and the wind speed data meets the operating standard, the ideal deflection angle of the blade is calculated and corresponding deflection instructions are generated to remotely control the blade to deflect to the ideal deflection angle.
[0118] It should be noted that the real-time optimization control of the wind power equipment is realized; according to the wind speed and wind direction data, the best blade deflection angle is calculated, which can make the wind power equipment run at the optimal operating point, improve the energy conversion efficiency and power generation capacity; at the same time, through the generation of the shutdown instruction, invalid operation in the low wind speed condition can be effectively avoided, the service life of the equipment is prolonged and the loss is reduced.
[0119] It should be noted that the system provided by the above embodiments is only exemplified by the division of the above functional modules. In actual application, the above functions can be completed by different functional modules according to needs, that is, the modules or steps in the embodiments of the present application are further decomposed or combined, for example, the modules of the above embodiments can be combined into one module, or can be further split into multiple sub-modules to complete all or part of the above described functions. The names of the modules and steps involved in the embodiments of the present application are only for distinguishing various modules or steps, and should not be considered as an improper limitation of the present application.
[0120] The term "comprising" or any other similar term is intended to encompass the inclusion of non-exclusive inclusion, so that the process, method, article or equipment / device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to the process, method, article or equipment / device.
[0121] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to related technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will fall within the protection scope of the present application.
[0122] Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and changes of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and changes. The above description of the disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to the embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for real-time monitoring of a wind farm, characterized in that, Includes the following steps: S1, establish a field control terminal, receive control commands remotely to adjust the operating status of wind power equipment, and generate control result information for this control process after the adjustment is completed; S2, Install monitoring and sensing devices on key components of the wind power equipment to obtain wind parameters, power parameters and vibration frequency parameters of the wind power equipment during operation, and insert corresponding time and location markers on these parameters; S3 summarizes the detected parameters and analyzes the wind parameters, power parameters, and vibration frequency parameters according to the preset diagnostic criteria; calculates the ideal deflection angle of the blades according to the preset power maximization criteria and the wind direction and wind speed data in the real-time wind data, and generates deflection and shutdown commands accordingly; compares the current and voltage data in the real-time power data according to the preset current and voltage standards, and generates power generation anomaly commands based on the comparison results. Extract the features of various vibration frequency data in the real-time vibration frequency data, match them with preset fault features, and generate operation fault instructions based on the matching results; S4. Classify the generated instructions, classifying deflection instructions and shutdown instructions into regulation instructions, and power generation abnormality instructions and operation fault instructions into fault instructions. S5. Before sending instructions to the field control terminal, the instructions are judged. If any fault-type instructions are present in the output instructions, the output adjustment instructions are intercepted until the fault-type instructions are eliminated. S6. The analysis results and generated instructions are sent to the equipment terminal in the maintenance personnel's room, and the first alarm is triggered through the equipment terminal; the control result information output by the field control terminal after this control process is obtained and matched with the analysis results. If the matching fails, the second alarm is triggered through the equipment terminal.
2. The method for real-time monitoring of a wind farm according to claim 1, characterized in that, The step of calculating the ideal deflection angle of the blades based on a preset power maximization criterion and real-time wind direction and speed data, and generating corresponding deflection and shutdown commands, includes: When the wind speed data is too low, a shutdown command is generated to remotely control the wind power equipment to stop operating; When the wind direction data is not ideal but the wind speed data meets the operating standards, the ideal deflection angle of the blade is calculated and a corresponding deflection command is generated to remotely control the blade to deflect to the ideal deflection angle.
3. A wind farm real-time monitoring system, used to implement the wind farm real-time monitoring method according to any one of claims 1-2, characterized in that, include: The field control module is used to adjust the operation of the wind power equipment according to control commands and generate corresponding control result information based on the adjustment process. A wind monitoring module, which is connected to the wind power equipment, is used to detect wind speed data in the current environment; A power monitoring module, which is connected to the wind power equipment, is used to detect the power data currently output by the wind power equipment; A fault monitoring module, which is connected to the wind power equipment, is used to detect the current operating parameter data of the wind power equipment; The summary analysis module is connected to the wind monitoring module, the power monitoring module and the fault monitoring module. It is used to acquire and analyze wind speed data, power data and operating parameter data, generate control commands and alarm signals according to the analysis results, and send the control commands to the field control module for remote control. An alarm feedback module, connected to the summary analysis module and the field control module, is used to receive control result information, compare it with the information carried by the alarm signal, and generate a feedback signal based on the comparison result; the alarm feedback module completes the alarm action to personnel based on the alarm signal and the feedback signal.
4. The wind farm real-time monitoring system according to claim 3, characterized in that, The field control module includes: The instruction receiving unit is used to receive control instructions in real time. The control terminal is electrically connected to the instruction receiving unit and the wind power equipment, and is used to adjust the operation of the wind power equipment according to the information carried by the control instruction. A signal triggering unit, which is connected to the control terminal, is used to generate control result information of the action after the control terminal completes a control action.
5. A wind farm real-time monitoring system according to claim 4, characterized in that, The wind monitoring module includes: A wind power monitoring instrument is installed on the tower of the wind turbine to acquire wind direction and wind speed data in the environment where the wind turbine is located in real time. The monitoring PTZ is connected to the wind power monitoring instrument and is used to acquire the monitored wind direction and wind speed data in real time. It also inserts an identifier carrying time information and the location information of the wind power equipment into the data to generate real-time wind power data.
6. A wind farm real-time monitoring system according to claim 5, characterized in that, The power monitoring module includes: A signal amplifier, which is electrically connected to the booster station of the wind power equipment, is used to amplify the current signal and voltage signal at the output of the booster station; A current sensor, which is connected to the output of the signal amplifier, is used to detect the amplified current signal and generate current data. A voltage sensor, which is connected to the output of the signal amplifier, is used to detect the amplified voltage signal and generate voltage data. The second monitoring PTZ is connected to the current sensor and the voltage sensor to acquire the detected current and voltage data in real time, and inserts an identifier carrying time information and the location information of the booster station into the data to generate real-time power data.
7. A wind farm real-time monitoring system according to claim 6, characterized in that, The fault monitoring module includes: A vibration monitoring unit is installed on the blades, transmission components, and generator of the wind turbine to detect the vibration frequency data of the blades, transmission components, and generator. The monitoring PTZ 3 is connected to the vibration monitoring unit and is used to acquire the detected vibration frequency data in real time. It inserts identifiers carrying time information and the positioning information of the blade, the transmission component and the generator into the data to generate real-time vibration frequency data.
8. A wind farm real-time monitoring system according to claim 7, characterized in that, The summary analysis module includes: The aggregation unit is connected to the monitoring PTZ 1, the monitoring PTZ 2 and the monitoring PTZ 3 by signal, and is used to acquire real-time wind data, real-time power data and real-time vibration frequency data, and to divide the real-time wind data, real-time power data and real-time vibration frequency data of the same time into the same data set according to the identifier carried by the data. The wind analysis unit, which is connected to the aggregation unit, is used to acquire real-time wind data in the data set corresponding to the current moment, calculate the ideal deflection angle of the blades according to the preset power maximization criterion and the wind direction and wind speed data in the real-time wind data, and generate deflection commands and shutdown commands accordingly. The power fault analysis unit, which is connected to the aggregation unit, is used to obtain real-time power data in the data set corresponding to the current moment, compare the preset current standard and voltage standard with the current data and voltage data in the real-time power data, and generate a power generation anomaly command based on the comparison results. The equipment fault analysis unit, which is connected to the aggregation unit, is used to obtain real-time vibration frequency data in the data set corresponding to the current moment, extract the features of each vibration frequency data in the real-time vibration frequency data, match them with preset fault features, and generate operation fault instructions based on the matching results. The instruction issuing unit is connected to the wind analysis unit, the power fault analysis unit, the equipment fault analysis unit, and the instruction receiving unit, and is used to send the generated deflection instruction, shutdown instruction, power generation abnormality instruction, and operation fault instruction to the instruction receiving unit. An alarm generation unit, connected to the wind analysis unit, the power fault analysis unit, and the equipment fault analysis unit, is used to generate an alarm signal corresponding to any command when any command is detected, and insert the analysis result corresponding to the command into the alarm signal. The analysis result also includes the location information of the abnormal equipment.
9. A real-time monitoring system for a wind farm according to claim 8, characterized in that, The summary analysis module also includes: A priority determination unit, which is connected to the output of the instruction issuing unit, is used to intercept the instruction that the instruction issuing unit is preparing to output according to a preset interception criterion; The preset interception criterion is that the priority determination unit first classifies the instructions output by the instruction issuing unit, classifying deflection instructions and shutdown instructions as adjustment instructions, and power generation abnormality instructions and operation fault instructions as fault instructions; when the priority determination unit detects any fault instructions among the instructions output by the instruction issuing unit, it intercepts the output adjustment instructions until the fault instructions are eliminated.
10. A wind farm real-time monitoring system according to claim 9, characterized in that, The alarm feedback module includes: Alarm unit one, which is connected to the alarm generation unit, is used to receive alarm signals, restore the analysis results carried by the alarm signals, send them to maintenance personnel, and execute alarm actions. Alarm unit two, which is connected to the alarm generation unit and the signal triggering unit, is used to restore the analysis results carried by the alarm signal and compare them with the control result information; when the control result information is consistent with the analysis results, a recovery feedback signal is generated; when the control result information is inconsistent with the analysis results, a fault feedback signal is generated; the recovery feedback signal and the fault feedback signal are sent to the maintenance personnel and an alarm action is executed. The terminal device, which is connected to the first alarm unit and the second alarm unit, is carried by maintenance personnel and is used to display analysis results, restore feedback signals and fault feedback signals, and can execute alarm actions.
Citation Information
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