An intelligent coordinated control system for energy storage in wind power generation

Abstract

The invention relates to the technical field of electric energy control, and discloses an intelligent coordinated control system for energy storage for wind power generation. The actual electric energy of wind power generation equipment and the expected electric energy of wind power generation equipment are analyzed, and a behavior signal of wind power generation equipment is obtained based on the electric energy difference of wind power generation equipment. Based on the positive signal of wind power, an expected electric energy curve and a real-time load electric energy curve are constructed, and the corresponding electric energy curve and the real-time load electric energy curve are compared and processed in real time to complete the coordinated control of the energy storage system of wind power generation. Based on the wind power verification signal, the electric energy deviation ratio and fault characterization value of the wind power generation equipment in the monitoring period are processed to obtain the abnormal behavior value of the wind power generation equipment in the monitoring period, and the operating state of the wind power generation equipment is identified based on the abnormal behavior value. The invention integrates the wind direction influencing factor of the wind power generation equipment during operation and the oil temperature influencing factor of the generator and the bearing, and has high accuracy in identifying the electric energy of the wind power generation equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy control, and in particular to an energy storage intelligent coordination control system for wind power generation. Background Art

[0002] As a renewable energy source, wind power generation is affected by natural factors such as wind speed and wind direction and has great volatility. The energy storage coordination system can store excess electricity generated by wind power and release it when electricity demand peaks to achieve a smooth supply of electricity, thereby improving the power generation efficiency of wind power stations and the stability of the power grid.

[0003] Through the intelligent coordination control system, it is possible to optimize the scheduling of wind power generation and energy storage equipment, rationally allocate power resources according to grid demand and energy supply, and improve energy utilization efficiency.

[0004] In the prior art, there are deficiencies in the judgment of the required power generation and the actual power generation of wind power generation equipment within a monitoring period. The influence of wind direction and the oil temperature of the generator and bearings are not incorporated into the power consideration process of the wind power generation equipment, resulting in a large deviation in the identification of the power of the wind power generation equipment, which has certain limitations. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent coordinated control system for energy storage for wind power generation, which integrates the influencing factors of wind direction of wind power generation equipment during operation and the influencing factors of oil temperature of generators and bearings, and then analyzes the actual power generation of wind power generation equipment and the power generation required by wind power generation equipment, thereby completing the behavioral state identification of wind power generation equipment.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An intelligent coordinated control system for energy storage for wind power generation, comprising:

[0008] A data analysis module, the data analysis module is used to analyze the actual power generation of the wind power generation equipment and the power generation that the wind power generation equipment should generate, obtain the power difference of the wind power generation equipment, and obtain the behavior signal of the wind power generation equipment based on the power difference of the wind power generation equipment;

[0009] The wind power equipment behavior signal includes a wind power positive signal and a wind power verification signal;

[0010] A forward correction module, wherein the forward correction module constructs a corresponding power generation curve and a real-time load power curve, and performs real-time comparison and processing of the corresponding power generation curve and the real-time load power curve to complete the coordinated control of the energy storage system of wind power generation;

[0011] The verification and evaluation module processes the electric energy deviation ratio and fault characterization value of the wind power generation equipment within the monitoring period to obtain the abnormal behavior value of the wind power generation equipment within the monitoring period, and completes the identification of the operating status of the wind power generation equipment based on the abnormal behavior value.

[0012] As a further solution of the present invention: comparing the electric energy difference of the wind power generation equipment with a preset electric energy difference range of the wind power generation equipment;

[0013] If the power difference of the wind power generation equipment is within the preset power difference range of the wind power generation equipment, it is determined that the wind power generation equipment is generating power normally, and a positive wind power signal is obtained;

[0014] If the power difference of the wind power generation equipment is outside the preset power difference range of the wind power generation equipment, it is determined that the wind power generation equipment is generating abnormal power, and a wind power verification signal is obtained.

[0015] As a further solution of the present invention: the process of obtaining the power generated by the wind power generation equipment is as follows:

[0016] Obtain the wind energy conversion efficiency of the wind power generation equipment, denoted as Fz;

[0017] Get the rotor area of ​​the wind turbine, denoted as Fs;

[0018] Get the generator efficiency of the wind power generation equipment, denoted as Fe;

[0019] Obtain wind speed data of the wind power generation equipment during operation, recorded as Fw;

[0020] That is, through the formula Fi = f*(Fz*Fw 3 *Fs*Fe) obtains the real-time power generation Fi of the wind power generation equipment, where f is the preset correction coefficient when the wind power generation equipment generates electricity.

[0021] As a further solution of the present invention: the process of obtaining the preset correction coefficient f when the wind power generation equipment generates electricity is:

[0022] Divide the monitoring period of the wind power generation equipment into a number of time sub-units;

[0023] Get the maximum oil temperature value in each time subunit and record it as Wti;

[0024] By formula The preset correction coefficient of the wind power generation equipment during power generation is calculated, where Xy is the directional variation rate of the monitoring period, Wtp is the standard value of the lubricating oil temperature, i=1, 2, ..., n; i is the number of time subunits adapted to obtain the oil temperature value within the monitoring period.

[0025] As a further solution of the present invention: the acquisition process of the monitoring period direction change rate is:

[0026] Obtain the wind direction angle corresponding to the middle time point of each time sub-unit, integrate the wind direction angles of all time sub-units within the monitoring period, and obtain the wind direction angle group of the monitoring period;

[0027] The wind direction angle group of the monitoring period is processed according to the variance calculation formula to obtain the variance value of the wind direction angle group of the monitoring period, which is recorded as the direction change rate of the monitoring period.

[0028] As a further solution of the present invention: a corresponding power generation curve is compared with a real-time load power curve;

[0029] If the power generation curve is above the real-time load power curve, the energy storage system stores the power generated by the wind power generation equipment for power storage;

[0030] If the expected power generation curve is below the real-time load power curve, the energy storage system will supplement the power generated by the wind power generation equipment and discharge it.

[0031] As a further solution of the present invention: the electric energy deviation ratio of the wind power generation equipment within the monitoring period is the ratio of the electric energy difference of the wind power generation equipment to the electric energy that the wind power generation equipment should generate.

[0032] As a further solution of the present invention: within the monitoring period, the control components required for the operation of the wind power generation equipment are obtained;

[0033] Obtain the items that need to be monitored by the control component and record them as monitoring items;

[0034] Obtain the monitoring value of the corresponding monitoring item of the control component within the current time, and record the monitoring item whose monitoring value of the control component monitoring item does not meet the monitoring item monitoring value requirement as a fault item;

[0035] The monitoring items of the control component monitoring items whose monitoring values ​​meet the monitoring item monitoring value requirements are recorded as safety items;

[0036] The ratio of the number of fault items to the number of monitored items is calculated to obtain the fault item ratio of the controlled component.

[0037] As a further solution of the present invention: each fault item is multiplied by a corresponding preset fault coefficient to obtain a fault cardinality of the fault item;

[0038] Sum up the fault cardinalities of all fault items of the controlled component to obtain the total value of the fault cardinalities of the controlled component;

[0039] The total value of the fault base of the controlled component is multiplied by the fault item ratio of the controlled component to obtain the total fault value of the controlled component;

[0040] Sum up the total failure values of all control components during the operation of the wind power generation equipment and take the average value to obtain the failure characterization value of the wind power generation equipment within the monitoring period.

[0041] As a further solution of the present invention: Denote the abnormal behavior value of the wind power generation equipment within the monitoring period as YC;

[0042] Preset the limit values of the abnormal behavior value of the wind power generation equipment within the monitoring period as YC1 and YC2, where YC1 < YC2;

[0043] If YC < YC1, it indicates that the overall operation state of the wind power generation equipment is average;

[0044] If YC1 ≤ YC < YC2, it indicates that the overall operation state of the wind power generation equipment is poor;

[0045] If YC ≥ YC2, it indicates that the overall operation state of the wind power generation equipment is very poor.

[0046] Advantages of the present invention:

[0047] (1) The present invention integrates the influencing factors of wind direction and the influencing factors of the oil temperatures of the generator and bearings during the operation of the wind power generation equipment, combines and processes the influencing factors of wind direction and the influencing factors of the oil temperatures of the generator and bearings to obtain the preset correction coefficient during the power generation of the wind power generation equipment, so that the power that the wind power generation equipment should generate within the monitoring period is more accurate, and the judgment on whether the power generation of the wind power generation equipment is normal is more reliable;

[0048] (2) When obtaining the wind power verification signal, the present invention processes the control components of the wind power generation equipment, identifies the states of the monitoring items in the control components, and then obtains the total failure value of the control components. Then, by integrating all the control components, the failure characterization value of the wind power generation equipment within the monitoring period is obtained. Combining with the power deviation ratio of the wind power generation equipment within the monitoring period, the abnormal behavior value of the wind power generation equipment within the monitoring period is processed to complete the identification of the abnormal state level of the wind power generation equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below with reference to the accompanying drawings.

[0050] Figure 1 is the program block diagram of an energy storage intelligent coordination control system for wind power generation according to the present invention;

[0051] Figure 2 is the working flowchart of an energy storage intelligent coordination control system for wind power generation according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] See also Figure 1-Figure 2 As shown, the present invention is an intelligent coordinated control system for energy storage for wind power generation, including a data analysis module, a forward correction module, an effectiveness evaluation module and a cloud management and control platform;

[0054] During the monitoring period, the data analysis module is used to analyze the actual power generation of the wind power generation equipment and the power generation that the wind power generation equipment should generate, obtain the power difference of the wind power generation equipment, obtain the behavior signal of the wind power generation equipment based on the power difference of the wind power generation equipment, and upload the signal to the cloud management and control platform;

[0055] The wind power equipment behavior signal includes a wind power positive signal and a wind power verification signal;

[0056] The forward correction module receives the wind power forward signal transmitted by the cloud control platform. The forward correction module constructs the corresponding power generation curve and the real-time load power curve, and performs real-time comparison and processing of the corresponding power generation curve and the real-time load power curve to complete the coordinated control of the wind power storage system.

[0057] The verification and evaluation module receives the wind power verification signal transmitted by the cloud management and control platform. The verification and evaluation module processes the electric energy deviation ratio and fault characterization value of the wind power generation equipment during the monitoring period, obtains the abnormal behavior value of the wind power generation equipment during the monitoring period, and completes the identification of the operating status of the wind power generation equipment based on the abnormal behavior value.

[0058] During the monitoring period, the actual power generation of the wind power generation equipment is obtained, and the actual power generation of the wind power generation equipment is analyzed with the power generation of the wind power generation equipment to obtain the power difference of the wind power generation equipment;

[0059] Compare the electric energy difference of the wind power generation equipment with the preset electric energy difference range of the wind power generation equipment;

[0060] If the power difference of the wind power generation equipment is within the preset power difference range of the wind power generation equipment, it is determined that the wind power generation equipment is generating power normally, and a positive wind power signal is obtained;

[0061] If the power difference of the wind power generation equipment is outside the preset power difference range of the wind power generation equipment, it is determined that the wind power generation equipment is generating abnormal power, and a wind power verification signal is obtained.

[0062] The process of obtaining the actual power generated by wind power generation equipment is as follows:

[0063] A current sensor and a voltage sensor are arranged at the output end of the wind power generation equipment;

[0064] The current sensor is used to collect the output current of the output end of the wind power generation equipment in real time;

[0065] The voltage sensor is used to collect the output voltage of the output end of the wind power generation equipment in real time;

[0066] The output current and output voltage of the wind power generation equipment in the monitoring period are multiplied and the time is integrated to obtain the actual power generation of the wind power generation equipment in the monitoring period.

[0067] Among them, the process of obtaining the power generated by wind power generation equipment is as follows:

[0068] Obtain the wind energy conversion efficiency of the wind power generation equipment, denoted as Fz;

[0069] Get the rotor area of ​​the wind turbine, denoted as Fs;

[0070] Get the generator efficiency of the wind power generation equipment, denoted as Fe;

[0071] Obtain wind speed data of the wind power generation equipment during operation, recorded as Fw;

[0072] Among them, the wind energy conversion efficiency, wind rotor area and generator efficiency of the wind power generation equipment are fixed parameters of the wind turbine, while the wind speed data of the wind power generation equipment is a variable that changes with time;

[0073] That is, through the formula Fi = f*(Fz*Fw 3 *Fs*Fe) to obtain the real-time power generation capacity Fi of the wind power generation equipment, where f is the preset correction coefficient when the wind power generation equipment generates electricity;

[0074] The required power generation of the wind power generation equipment within the monitoring period is obtained by integrating the power generation time of the real-time required power generation of the wind power generation equipment.

[0075] The process of obtaining the preset correction coefficient f when the wind power generation equipment generates electricity is as follows:

[0076] Divide the monitoring period of the wind power generation equipment into a number of time sub-units;

[0077] Obtain the wind direction angle corresponding to the middle time point of each time sub-unit, integrate the wind direction angles of all time sub-units within the monitoring period, and obtain the wind direction angle group of the monitoring period;

[0078] The wind direction angle group of the monitoring period is processed according to the variance calculation formula to obtain the variance value of the wind direction angle group of the monitoring period, which is recorded as the direction change rate of the monitoring period, recorded as Xy;

[0079] The wind direction angle is the angle between the wind direction and the north direction.

[0080] The maximum oil temperature value in each time subunit is obtained, and the maximum oil temperature value in each time subunit is recorded as Wti, where the oil temperature value is the lubricating oil temperature value of the generator and the bearing.

[0081] The monitoring period direction change rate and the oil temperature value of the time sub-unit are quantified and numerically calculated;

[0082] By formula The preset correction coefficient of the wind power generation equipment during power generation is calculated, where Wtp is the standard value of the lubricating oil temperature, Wtp is 70°C, i=1, 2, ..., n; where i is the number of time subunits adapted to obtain the oil temperature value within the monitoring period.

[0083] From the above formula for obtaining the preset correction coefficient when the wind power generation equipment generates electricity, it can be seen that the greater the directional variation rate during the monitoring period, the greater the wind direction deviation of different time sub-units within the monitoring period, and the greater the wind direction deviation, the smaller the preset correction coefficient obtained, and thus the smaller the power generation of the wind power generation equipment should be;

[0084] From the above formula for obtaining the preset correction coefficient when the wind power generation equipment generates electricity, it can be seen that the greater the deviation between the oil temperature value of each time sub-unit in the monitoring period and the standard value of the lubricating oil temperature, the worse the wind turbine generator set can maintain a high operating efficiency and stability, that is, the smaller the preset correction coefficient obtained, and the smaller the power generation of the wind power generation equipment should be.

[0085] Example 2

[0086] On the basis of Example 1, based on the wind power forward signal, the coordinated control of the energy storage system of wind power generation is completed, specifically:

[0087] Obtain the real-time power generation capacity of wind power generation equipment;

[0088] Establish a plane coordinate system, record time as the X-axis, and record the real-time power generation of the wind power generation equipment as the Y-axis;

[0089] Constructing a required power generation curve in a plane coordinate system based on the real-time required power generation of the wind power generation equipment;

[0090] Obtain the real-time load power required by the load end of the wind power generation equipment, and construct a real-time load power curve in a plane coordinate system based on the real-time load power;

[0091] Compare the corresponding power generation curve with the real-time load power curve;

[0092] If the power generation curve is above the real-time load power curve, the energy storage system stores the power generated by the wind power generation equipment for power storage;

[0093] If the power generation curve is below the real-time load power curve, the energy storage system will supplement the power generated by the wind power generation equipment and discharge;

[0094] This enables coordinated control of the wind power storage system, balances power supply and demand, and maintains stable operation of the power system.

[0095] Example 3

[0096] On the basis of Example 1, the status of the wind power generation equipment is monitored based on the wind power verification signal, specifically:

[0097] During the monitoring period, the electric energy difference of the wind power generation equipment is obtained, and the ratio of the electric energy difference of the wind power generation equipment to the electric energy that the wind power generation equipment should generate is calculated to obtain the electric energy deviation ratio of the wind power generation equipment during the monitoring period;

[0098] During the monitoring period, obtain the control components required for the operation of wind power generation equipment;

[0099] Among them, the control components include but are not limited to wind rotors, gear boxes, generators, yaw devices and braking systems;

[0100] Obtain the items that need to be monitored by the control component, and record the items that need to be monitored as monitoring items;

[0101] Obtain the monitoring value of the corresponding monitoring item of the control component within the current time, and compare the monitoring value of the corresponding monitoring item with the monitoring value requirement of the monitoring item;

[0102] Recording monitoring items whose monitoring values ​​of monitoring items of control components do not meet the monitoring value requirements of monitoring items as fault items;

[0103] The monitoring items of the control component monitoring items whose monitoring values ​​meet the monitoring item monitoring value requirements are recorded as safety items;

[0104] Calculate the ratio of the number of fault items to the number of monitored items to obtain the fault item ratio of the controlled component;

[0105] Obtaining respectively the preset failure coefficient of each failure item and the preset safety coefficient of each safety item of each control component;

[0106] Multiply each fault item by the corresponding preset fault coefficient to obtain the fault cardinality of the fault item;

[0107] Sum up the fault cardinalities of all fault items of the controlled component to obtain the total value of the fault cardinalities of the controlled component;

[0108] The total value of the fault base of the controlled component is multiplied by the fault item ratio of the controlled component to obtain the total fault value of the controlled component;

[0109] Obtain the total fault value of all control components during the operation of wind power generation equipment;

[0110] The total fault values ​​of all control components during the operation of the wind power generation equipment are summed and averaged to obtain the fault characterization value of the wind power generation equipment within the monitoring period;

[0111] Among them, the monitoring items include but are not limited to current value, voltage value, temperature value, vibration frequency, etc. The monitoring content of the monitoring items is determined according to the corresponding usage scenarios of the target components. The contents of the monitoring items are all generated by the corresponding components when they are working. For example, the current value and voltage value of the generator are the actual current value and voltage value when the generator is working.

[0112] The power deviation ratio of the wind power generation equipment in the monitoring period is multiplied by the fault characterization value of the wind power generation equipment in the monitoring period to obtain the abnormal behavior value of the wind power generation equipment in the monitoring period;

[0113] The abnormal behavior value of the wind power generation equipment during the monitoring period is recorded as YC;

[0114] The limit values ​​of abnormal behavior values ​​of wind power generation equipment within the monitoring period are preset as YC1 and YC2, where YC1<YC2;

[0115] Among them, the limit values ​​of abnormal behavior values ​​of wind power generation equipment within the monitoring period are YC1 and YC2, which are empirical values ​​and are obtained based on experience:

[0116] In the actual obtaining process, there are many groups of wind power generation equipment. The power deviation ratio of the wind power generation equipment within the monitoring period and the fault characterization value of the wind power generation equipment within the monitoring period are sorted out for many groups of wind power generation equipment to obtain the abnormal behavior value of the wind power generation equipment within the monitoring period. According to the abnormal behavior values of so many groups of wind power generation equipment within the monitoring period, the abnormal operation level of the wind power generation equipment is identified, so as to obtain a corresponding relationship between the abnormal behavior value of the wind power generation equipment within the monitoring period and the abnormal operation level of the wind power generation equipment. Furthermore, according to the operation state of the wind power generation equipment corresponding to the abnormal behavior value of the wind power generation equipment within the monitoring period, the threshold value of the abnormal behavior value of the wind power generation equipment within the monitoring period is deduced and divided, so as to obtain the limit values YC1 and YC2 of the threshold value of the abnormal behavior value of the wind power generation equipment within the monitoring period. By comparing the limit values of the threshold value of the abnormal behavior value of the wind power generation equipment within the monitoring period, the identification of the abnormal operation level of the wind power generation equipment corresponding to the abnormal behavior value of the wind power generation equipment within the monitoring period is completed;

[0117] If YC < YC1, it means that the overall operation state of the wind power generation equipment is average, and a normal average signal of the wind power generation equipment operation state is obtained;

[0118] If YC1 ≤ YC < YC2, it means that the overall operation state of the wind power generation equipment is poor, and a poor signal of the wind power generation equipment operation state is obtained;

[0119] If YC ≥ YC2, it means that the overall operation state of the wind power generation equipment is very poor, and a very poor signal of the wind power generation equipment operation state is obtained.

[0120] Among them, the abnormal degree of the wind power generation equipment corresponding to the very poor signal of the wind power generation equipment operation state is higher than the abnormal degree of the wind power generation equipment corresponding to the poor signal of the wind power generation equipment operation state;

[0121] The abnormal degree of the wind power generation equipment corresponding to the poor signal of the wind power generation equipment operation state is higher than the abnormal degree of the wind power generation equipment corresponding to the general signal of the wind power generation equipment operation state, so as to realize the visual management of the wind power generation equipment.

[0122] One of the core points of the present invention lies in integrating the influencing factor of the wind direction during the operation of the wind power generation equipment and the influencing factors of the oil temperatures of the generator and the bearing, combining and processing the influencing factor of the wind direction and the influencing factors of the oil temperatures of the generator and the bearing to obtain a preset correction coefficient when the wind power generation equipment generates electricity, so that the generated electricity that should be obtained by the wind power generation equipment within the monitoring period is more accurate, and the judgment of whether the wind power generation equipment generates electricity normally is more reliable;

[0123] One of the core points of the present invention is: based on the wind power positive signal, the expected power generation curve is constructed with the real-time expected power generation of the wind power generation equipment, and the real-time load power generation curve is constructed in the plane coordinate system with the real-time load power generation. If the expected power generation curve is above the real-time load power generation curve, the energy storage system stores the power generated by the wind power generation equipment and performs power storage. If the expected power generation curve is below the real-time load power generation curve, the energy storage system supplements the power generated by the wind power generation equipment and performs power discharge, thereby realizing the coordinated control of the energy storage system of wind power generation;

[0124] One of the core points of the present invention is: based on the wind power verification signal, the control components of the wind power generation equipment are processed, the status of the monitoring items in the control components is identified, and then the total fault value of the control components is obtained, and then all the control components are integrated to obtain the fault characterization value of the wind power generation equipment during the monitoring period, combined with the electric energy deviation ratio of the wind power generation equipment during the monitoring period, and the abnormal behavior value of the wind power generation equipment during the monitoring period is obtained, thereby completing the identification of the abnormal level of the wind power generation equipment status.

[0125] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent coordinated control system for energy storage for wind power generation, characterized in that: include: A data analysis module, the data analysis module is used to analyze the actual power generation of the wind power generation equipment and the power generation that the wind power generation equipment should generate, obtain the power difference of the wind power generation equipment, and obtain the behavior signal of the wind power generation equipment based on the power difference of the wind power generation equipment; The wind power equipment behavior signal includes a wind power positive signal and a wind power verification signal; Compare the electric energy difference of the wind power generation equipment with the preset electric energy difference range of the wind power generation equipment; If the power difference of the wind power generation equipment is within the preset power difference range of the wind power generation equipment, it is determined that the wind power generation equipment is generating power normally, and a positive wind power signal is obtained; If the power difference of the wind power generation equipment is outside the preset power difference range of the wind power generation equipment, it is determined that the wind power generation equipment is generating abnormal power, and a wind power verification signal is obtained; The process of obtaining the power generated by wind power generation equipment is as follows: Obtain the wind energy conversion efficiency of the wind power generation equipment, denoted as Fz; Get the rotor area of ​​the wind turbine, denoted as Fs; Get the generator efficiency of the wind power generation equipment, denoted as Fe; Obtain wind speed data of the wind power generation equipment during operation, recorded as Fw; That is, through the formula Fi = f*(Fz*Fw3 3 *Fs*Fe) to obtain the real-time power generation capacity Fi of the wind power generation equipment, where f is the preset correction coefficient when the wind power generation equipment generates electricity; The process of obtaining the preset correction coefficient f when the wind power generation equipment generates electricity is as follows: Divide the monitoring period of the wind power generation equipment into a number of time sub-units; Get the maximum oil temperature value in each time subunit and record it as Wti; By formula The preset correction coefficient of the wind power generation equipment during power generation is calculated, wherein Xy is the directional variation rate of the monitoring period, Wtp is the standard value of the lubricating oil temperature, and i is the number of time subunits adapted to obtain the oil temperature value within the monitoring period, i=1, 2, ..., n; The process of obtaining the directional change rate of the monitoring period is as follows: Obtain the wind direction angle corresponding to the middle time point of each time sub-unit, integrate the wind direction angles of all time sub-units within the monitoring period, and obtain the wind direction angle group of the monitoring period; The wind direction angle group of the monitoring period is processed according to the variance calculation formula to obtain the variance value of the wind direction angle group of the monitoring period, which is recorded as the direction change rate of the monitoring period; A forward correction module, based on the wind power forward signal, constructs a corresponding power generation curve and a real-time load power curve, and performs real-time comparison and processing of the corresponding power generation curve and the real-time load power curve to complete the coordinated control of the wind power generation energy storage system; Compare the corresponding power generation curve with the real-time load power curve; If the power generation curve is above the real-time load power curve, the energy storage system stores the power generated by the wind power generation equipment for power storage; If the power generation curve is below the real-time load power curve, the energy storage system will supplement the power generated by the wind power generation equipment and discharge; The verification and evaluation module processes the power deviation ratio and fault characterization value of the wind power generation equipment within the monitoring period based on the wind power verification signal, obtains the abnormal behavior value of the wind power generation equipment within the monitoring period, and completes the identification of the operating state of the wind power generation equipment based on the abnormal behavior value; The power deviation ratio of the wind power generation equipment in the monitoring period is multiplied by the fault characterization value of the wind power generation equipment in the monitoring period to obtain the abnormal behavior value of the wind power generation equipment in the monitoring period; During the monitoring period, obtain the control components required for the operation of wind power generation equipment; Obtain the items that need to be monitored by the control component and record them as monitoring items; Obtain the monitoring values of the monitoring items corresponding to the control components within the current time, and record the monitoring items whose monitoring values of the control component monitoring items do not meet the requirements of the monitoring item monitoring values as faulty items; Record the monitoring items whose monitoring values of the control component monitoring items meet the requirements of the monitoring item monitoring values as safe items; Calculate the ratio of the number of faulty items to the number of monitoring items to obtain the faulty item ratio of the control component; Multiply each faulty item by the corresponding preset fault coefficient to obtain the fault base number of the faulty item; Sum up the fault base numbers of all faulty items of the control component to obtain the total fault base number value of the control component; Multiply the total fault base number value of the control component by the faulty item ratio of the control component to obtain the total fault value of the control component; Sum up and average the total fault values of all control components during the operation of the wind power generation equipment to obtain the fault characterization value of the wind power generation equipment within the monitoring period; The power deviation ratio of the wind power generation equipment within the monitoring period is the ratio of the power difference of the wind power generation equipment to the power that the wind power generation equipment should generate; 2. According to claim 1, an intelligent coordinated control system for energy storage for wind power generation is characterized in that: Record the abnormal behavior value of the wind power generation equipment within the monitoring period as YC; Preset the limit values of the abnormal behavior value of the wind power generation equipment within the monitoring period as YC1 and YC2, where YC1 < YC2; If YC < YC1, it means that the overall operation state of the wind power generation equipment is average; If YC1 ≤ YC < YC2, it means that the overall operation state of the wind power generation equipment is poor; if YC ≥ YC2, it means that the overall operation state of the wind power generation equipment is very poor.

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