Three-phase unbalanced voltage control method for new energy access power distribution network

Abstract

The invention relates to the technical field of power system control, in particular to a three-phase unbalanced voltage control method for a new energy access power distribution network. The power distribution network data of the power distribution network are collected and analyzed to obtain the power distribution network state information, and then the automatic control strategy is made according to the power distribution network state information; control unit state information is obtained by collecting control unit data and analyzing the control unit data, and early warning monitoring and standby system control are carried out according to the control unit state information, so that control loss caused when the control system fails is avoided, and the control effect on the power distribution network is improved; in addition, real-time data display is provided for operators through a visual monitoring interface, operation suggestion information is generated through an artificial intelligence technology according to current power distribution network state information and historical control information in a database, manual operation is facilitated to be assisted when a control system and a standby system break down, and the manual operation accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system control, and in particular to a method for controlling three-phase unbalanced voltage of a power distribution network connected with new energy. Background Art

[0002] In recent years, with the advancement of technology and reduction of costs, the new energy power industry has developed rapidly, the number of new energy power generation facilities such as wind power and solar power has continued to increase, and the power generation has continued to grow; however, the volatility and intermittent nature of new energy power have put forward higher requirements for the safe and stable operation of the power grid. Therefore, accelerating the construction, transformation and intelligent upgrading of distribution networks and improving the ability of distribution networks to accept new energy have become the key to ensuring the effective access and consumption of new energy power.

[0003] The existing control method for the three-phase unbalanced voltage of the new energy access distribution network uses an automatic control system to make control decisions on the three-phase imbalance, which greatly increases the convenience of control. However, when the automatic control system fails, manual intervention is required. However, manual intervention has problems such as untimely response and inaccurate operation, which can easily affect the control effect and cause losses. Summary of the invention

[0004] The present invention provides a method for controlling three-phase unbalanced voltage when new energy is connected to a distribution network, which is used to solve the above-mentioned technical problems.

[0005] A first aspect of the present invention provides a method for controlling a three-phase unbalanced voltage when a new energy source is connected to a power distribution network, comprising the following steps:

[0006] Step 1: Real-time monitoring and data analysis: collect the distribution network data and control unit data of the distribution network through sensors and monitor and analyze the distribution network data and control unit data. Specifically, the distribution network data is analyzed to obtain the distribution network status information, and the distribution network status information is sent to step 2; the control unit data is analyzed to obtain the control unit status information, and the control unit status information is sent to step 3.

[0007] As a further improvement of the present invention, the distribution network data is analyzed, and the specific steps are as follows:

[0008] A1: Identify the distribution network data to obtain three-phase voltage data, power output data and load data.

[0009] A2: The three-phase voltage data includes the phase voltages of the three phases. The phase voltages of the three phases are compared to obtain the maximum phase voltage and the minimum phase voltage, and the phase voltages of the three phases are averaged to obtain the average phase voltage. The maximum phase voltage, the minimum phase voltage and the average phase voltage are substituted into the imbalance calculation formula: imbalance = (maximum phase voltage - minimum phase voltage) / average phase voltage × 100%. The imbalance corresponding to the current three-phase voltage data is calculated by the imbalance formula, and a pre-set standard reference value of the imbalance is obtained. The difference between the current imbalance and the standard reference value is calculated and the obtained difference is marked as the imbalance difference.

[0010] A3: Power generation output data includes the generator's gear vibration frequency, bearing temperature, power output value and power factor;

[0011] A31: Obtain a preset gear vibration frequency threshold, compare the gear vibration frequency of each gear of the generator with the gear vibration frequency threshold, and when the gear vibration frequency is greater than the gear vibration frequency threshold, mark the corresponding gear as an abnormal gear, count the number of abnormal gears to obtain the number of abnormal gears, and calculate the ratio of the number of abnormal gears to the total number of gears to obtain the abnormal gear ratio;

[0012] A32: Obtain a preset bearing temperature threshold, compare the bearing temperature corresponding to the current generator with the bearing temperature threshold, and when the bearing temperature is greater than the bearing temperature threshold, calculate the difference between the bearing temperature and the bearing temperature threshold to obtain a temperature overflow value, divide the temperature overflow value into multiple temperature overflow value intervals, each temperature overflow value interval corresponds to an overflow impact value, and match the temperature overflow value corresponding to the current bearing temperature with multiple temperature overflow value intervals to obtain the corresponding overflow impact value;

[0013] A33: Perform reactive power calculation on the power output value and the power factor to obtain the corresponding reactive power, obtain a preset reactive power threshold, compare the reactive power with the reactive power threshold, and when the reactive power is greater than the reactive power threshold, mark the corresponding reactive power as a reactive power impact value;

[0014] A34: Normalize the abnormal gear ratio, overflow impact value and reactive power impact value and take their values. The power generation output impact value FA is obtained; among them, CL, YC and Q represent the abnormal gear ratio value, overflow impact value and reactive power impact value respectively, and ΔQ represents the allowable reactive power difference; p1, p2 and p3 are all preset weight factors, and their values ​​are 2.19, 1.93 and 2.33 respectively.

[0015] A4: Load data includes industrial load, commercial load and residential load. The industrial load, commercial load and residential load are calculated and summed to obtain the total load value. The total load value is set to multiple load value intervals. Each load value interval corresponds to a load impact value. The current total load value is matched with multiple load value intervals to obtain the corresponding load impact value.

[0016] A5: A right triangle is constructed with the imbalance difference and the power output impact value as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the right-angled vertex of the right triangle as the starting point. The length of the straight line is equal to the load impact value. A triangular pyramid is then constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the value of the volume is marked as the distribution network impact value. When the distribution network impact value is greater than the set threshold, the corresponding distribution network status information is generated as the distribution network status abnormality.

[0017] As a further improvement of the present invention, the control unit data is analyzed, and the specific steps are as follows:

[0018] S1: Identify control unit data to obtain input data, processor load, fault data and communication data;

[0019] S2: Input data includes input signal, sensor signal and response time; compare the input signal of each sensor with the sensor signal to obtain the signal fluctuation amplitude value of each sensor, obtain a preset signal fluctuation amplitude value threshold, compare the signal wave amplitude of each sensor with the signal fluctuation amplitude value threshold, and when the signal wave amplitude is greater than the signal fluctuation amplitude value threshold, mark the corresponding signal fluctuation amplitude value as an abnormal fluctuation amplitude value, calculate and sum the abnormal fluctuation amplitude values ​​of each sensor to obtain the total abnormal fluctuation amplitude value; similarly, obtain the total abnormal response time corresponding to each sensor; add the total abnormal fluctuation amplitude value and the total abnormal response time to obtain the total input abnormal value;

[0020] S3: Processor load includes CPU usage and memory occupancy; obtain a preset CPU usage warning value, compare the CPU usage of each control unit with the CPU usage warning value, and when the CPU usage is greater than the CPU usage warning value, subtract the CPU usage warning value from the CPU usage to obtain the CPU over-limit usage, and add up the CPU over-limit usage of each control unit to obtain the total CPU over-limit usage; similarly, obtain the total memory over-limit occupancy corresponding to each control unit; calculate and sum the total CPU over-limit usage and the total memory over-limit occupancy to obtain the total processor load value;

[0021] S4: Obtain the number of faults per unit time according to the fault data, count the fault duration corresponding to each fault, divide the fault duration into multiple fault duration intervals, each fault duration interval corresponds to a fault impact value, match the fault duration of each fault with the fault duration interval to obtain the corresponding fault impact value; calculate and sum the fault impact values ​​of each fault to obtain the total fault value, and multiply the total fault value by the number of faults to obtain the fault impact index;

[0022] S5: The communication data includes pre-communication data and post-communication data; the pre-communication data and the post-communication data are compared to obtain a data error rate; the time points of the pre-communication data and the post-communication data are respectively obtained and marked as pre-communication time points and post-communication time points, respectively, and the pre-communication time points and the post-communication time points are calculated to obtain a communication time difference; the data error rate and the communication time difference are multiplied to obtain a communication anomaly index;

[0023] S6: Construct an ellipse with the values ​​of the total input abnormality value and the total processor load value as the major and minor axes of the ellipse, draw a straight line perpendicular to the ellipse with the center of the ellipse as the starting point, and the length of the straight line is equal to the fault impact value. Construct a circle parallel to the ellipse with the end point of the straight line as the center and the value of the communication abnormality index as the radius, and then construct a frustum with the ellipse, the straight line and the circle, calculate the volume of the frustum and mark the value of the volume as the control unit state value; when the control unit state value is greater than the set threshold, generate the corresponding control unit state information as the control state abnormality.

[0024] Step 2: Automatic control strategy. Automatic control strategy is formulated according to the distribution network status information. Specifically, when the distribution network status information indicates that the distribution status is abnormal, three-phase voltage data is obtained and corresponding adjustment instructions are generated according to the three-phase voltage data. Adjusted three-phase voltage data is obtained according to the adjustment instructions. The adjusted three-phase voltage data is calculated by the imbalance calculation formula to obtain the adjusted imbalance. The imbalance corresponding to the abnormal distribution status and the adjusted imbalance are calculated to obtain the imbalance difference. When the imbalance difference is greater than the set threshold, a correctly adjusted control result is generated.

[0025] Step three, fault warning and backup system startup, perform warning monitoring and backup system control according to the control unit status information, specifically: identify the control unit status information, and generate corresponding fault warning information when the control unit status is abnormal; when the fault warning information is generated, generate the backup system control instruction at the same time, collect the status information of the distribution network when the backup system is running and mark it as secondary status information, obtain the number of abnormalities corresponding to the secondary status information per unit time, calculate the number of abnormalities and the unit time to get the abnormal proportion of the backup system; similarly, get the abnormal proportion of the control system per unit time, compare the abnormal proportion with the abnormal proportion of the backup system, when the abnormal proportion is greater than the abnormal proportion of the backup system, calculate the difference between the abnormal proportion and the abnormal proportion of the backup system to get the abnormal proportion difference, when the abnormal proportion difference is greater than the set threshold, execute step four.

[0026] Step 4: Intelligent assisted human intervention: Provide real-time three-phase voltage data, imbalance data and historical control record information to operators through a visual monitoring interface. Through artificial intelligence technology, generate operation suggestion information based on the current distribution network status information and historical control information in the database.

[0027] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0028] 1. The present invention obtains distribution network status information by collecting distribution network data and analyzing the distribution network data, and then formulates an automatic control strategy based on the distribution network status information; it also obtains control unit status information by collecting control unit data and analyzing the control unit data, and performs early warning monitoring and backup system control based on the control unit status information, so as to avoid control loss caused by control system failure and increase the control effect on the distribution network.

[0029] 2. The present invention provides real-time data display to operators through a visual monitoring interface, and generates operation suggestion information based on the current distribution network status information and historical control information in the database through artificial intelligence technology, so as to assist manual operation when the control system and backup system fail, and increase the accuracy of manual operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0031] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0032] 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.

[0033] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 In an embodiment of the present invention, an embodiment of a method for controlling three-phase unbalanced voltage of a power distribution network connected to a new energy source includes the following steps:

[0034] Step 1: Real-time monitoring and data analysis: collect the distribution network data and control unit data of the distribution network through sensors and monitor and analyze the distribution network data and control unit data. Specifically, the distribution network data is analyzed to obtain the distribution network status information, and the distribution network status information is sent to step 2; the control unit data is analyzed to obtain the control unit status information, and the control unit status information is sent to step 3.

[0035] The specific steps for analyzing the distribution network data are as follows:

[0036] A1: Identify the distribution network data to obtain three-phase voltage data, power output data and load data.

[0037] A2: The three-phase voltage data includes the phase voltages of the three phases. The phase voltages of the three phases are compared to obtain the maximum phase voltage and the minimum phase voltage, and the phase voltages of the three phases are averaged to obtain the average phase voltage. The maximum phase voltage, the minimum phase voltage and the average phase voltage are substituted into the imbalance calculation formula: imbalance = (maximum phase voltage - minimum phase voltage) / average phase voltage × 100%. The imbalance corresponding to the current three-phase voltage data is calculated by the imbalance formula, and a pre-set standard reference value of the imbalance is obtained. The difference between the current imbalance and the standard reference value is calculated and the obtained difference is marked as the imbalance difference.

[0038] A3: Power generation output data includes the generator's gear vibration frequency, bearing temperature, power output value and power factor;

[0039] A31: Obtain a preset gear vibration frequency threshold, compare the gear vibration frequency of each gear of the generator with the gear vibration frequency threshold, and when the gear vibration frequency is greater than the gear vibration frequency threshold, mark the corresponding gear as an abnormal gear, count the number of abnormal gears to obtain the number of abnormal gears, and calculate the ratio of the number of abnormal gears to the total number of gears to obtain the abnormal gear ratio;

[0040] A32: Obtain a preset bearing temperature threshold, compare the bearing temperature corresponding to the current generator with the bearing temperature threshold, and when the bearing temperature is greater than the bearing temperature threshold, calculate the difference between the bearing temperature and the bearing temperature threshold to obtain a temperature overflow value, divide the temperature overflow value into multiple temperature overflow value intervals, each temperature overflow value interval corresponds to an overflow impact value, and match the temperature overflow value corresponding to the current bearing temperature with multiple temperature overflow value intervals to obtain the corresponding overflow impact value;

[0041] A33: Perform reactive power calculation on the power output value and the power factor to obtain the corresponding reactive power, obtain a preset reactive power threshold, compare the reactive power with the reactive power threshold, and when the reactive power is greater than the reactive power threshold, mark the corresponding reactive power as a reactive power impact value;

[0042] A34: Normalize the abnormal gear ratio, overflow impact value and reactive power impact value and take their values. The power generation output impact value FA is obtained; among them, CL, YC and Q represent the abnormal gear ratio value, overflow impact value and reactive power impact value respectively, and ΔQ represents the allowable reactive power difference; p1, p2 and p3 are all preset weight factors, and their values ​​are 2.19, 1.93 and 2.33 respectively.

[0043] A4: Load data includes industrial load, commercial load and residential load. The industrial load, commercial load and residential load are calculated and summed to obtain the total load value. The total load value is set to multiple load value intervals. Each load value interval corresponds to a load impact value. The current total load value is matched with multiple load value intervals to obtain the corresponding load impact value.

[0044] A5: A right triangle is constructed with the imbalance difference and the power output impact value as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the right-angled vertex of the right triangle as the starting point. The length of the straight line is equal to the load impact value. A triangular pyramid is then constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the value of the volume is marked as the distribution network impact value. When the distribution network impact value is greater than the set threshold, the corresponding distribution network status information is generated as the distribution network status abnormality.

[0045] The specific steps for analyzing the control unit data are as follows:

[0046] S1: Identify control unit data to obtain input data, processor load, fault data and communication data;

[0047] S2: Input data includes input signal, sensor signal and response time; compare the input signal of each sensor with the sensor signal to obtain the signal fluctuation amplitude value of each sensor, obtain a preset signal fluctuation amplitude value threshold, compare the signal wave amplitude of each sensor with the signal fluctuation amplitude value threshold, and when the signal wave amplitude is greater than the signal fluctuation amplitude value threshold, mark the corresponding signal fluctuation amplitude value as an abnormal fluctuation amplitude value, calculate and sum the abnormal fluctuation amplitude values ​​of each sensor to obtain the total abnormal fluctuation amplitude value; similarly, obtain the total abnormal response time corresponding to each sensor; add the total abnormal fluctuation amplitude value and the total abnormal response time to obtain the total input abnormal value;

[0048] S3: Processor load includes CPU usage and memory occupancy; obtain a preset CPU usage warning value, compare the CPU usage of each control unit with the CPU usage warning value, and when the CPU usage is greater than the CPU usage warning value, subtract the CPU usage warning value from the CPU usage to obtain the CPU over-limit usage, and add up the CPU over-limit usage of each control unit to obtain the total CPU over-limit usage; similarly, obtain the total memory over-limit occupancy corresponding to each control unit; calculate and sum the total CPU over-limit usage and the total memory over-limit occupancy to obtain the total processor load value;

[0049] S4: Obtain the number of faults per unit time according to the fault data, count the fault duration corresponding to each fault, divide the fault duration into multiple fault duration intervals, each fault duration interval corresponds to a fault impact value, match the fault duration of each fault with the fault duration interval to obtain the corresponding fault impact value; calculate and sum the fault impact values ​​of each fault to obtain the total fault value, and multiply the total fault value by the number of faults to obtain the fault impact index;

[0050] S5: The communication data includes pre-communication data and post-communication data; the pre-communication data and the post-communication data are compared to obtain a data error rate; the time points of the pre-communication data and the post-communication data are respectively obtained and marked as pre-communication time points and post-communication time points, respectively, and the pre-communication time points and the post-communication time points are calculated to obtain a communication time difference; the data error rate and the communication time difference are multiplied to obtain a communication anomaly index;

[0051] S6: Construct an ellipse with the values ​​of the total input abnormality value and the total processor load value as the major and minor axes of the ellipse, draw a straight line perpendicular to the ellipse with the center of the ellipse as the starting point, and the length of the straight line is equal to the fault impact value. Construct a circle parallel to the ellipse with the end point of the straight line as the center and the value of the communication abnormality index as the radius, and then construct a frustum with the ellipse, the straight line and the circle, calculate the volume of the frustum and mark the value of the volume as the control unit state value; when the control unit state value is greater than the set threshold, generate the corresponding control unit state information as the control state abnormality.

[0052] Step 2: Automatic control strategy. Automatic control strategy is formulated according to the distribution network status information. Specifically, when the distribution network status information indicates that the distribution status is abnormal, three-phase voltage data is obtained and corresponding adjustment instructions are generated according to the three-phase voltage data. Adjusted three-phase voltage data is obtained according to the adjustment instructions. The adjusted three-phase voltage data is calculated by the imbalance calculation formula to obtain the adjusted imbalance. The imbalance corresponding to the abnormal distribution status and the adjusted imbalance are calculated to obtain the imbalance difference. When the imbalance difference is greater than the set threshold, a correctly adjusted control result is generated.

[0053] Step three, fault warning and backup system startup, perform warning monitoring and backup system control according to the control unit status information, specifically: identify the control unit status information, and generate corresponding fault warning information when the control unit status is abnormal; when the fault warning information is generated, generate the backup system control instruction at the same time, collect the status information of the distribution network when the backup system is running and mark it as secondary status information, obtain the number of abnormalities corresponding to the secondary status information per unit time, calculate the number of abnormalities and the unit time to get the abnormal proportion of the backup system; similarly, get the abnormal proportion of the control system per unit time, compare the abnormal proportion with the abnormal proportion of the backup system, when the abnormal proportion is greater than the abnormal proportion of the backup system, calculate the difference between the abnormal proportion and the abnormal proportion of the backup system to get the abnormal proportion difference, when the abnormal proportion difference is greater than the set threshold, execute step four.

[0054] Step 4: Intelligent assisted human intervention: Provide real-time three-phase voltage data, imbalance data and historical control record information to operators through a visual monitoring interface. Through artificial intelligence technology, generate operation suggestion information based on the current distribution network status information and historical control information in the database.

[0055] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling three-phase unbalanced voltage when new energy is connected to a distribution network, characterized in that: The steps include: Step 1: Collect distribution network data and control unit data of the distribution network through sensors and monitor and analyze the distribution network data and control unit data, which is specifically: analyze the distribution network data to obtain distribution network status information, and send the distribution network status information to step 2; analyze the control unit data to obtain control unit status information, and send the control unit status information to step 3; Step 2: Formulate automatic control strategy based on distribution network status information; Step 3: Perform early warning monitoring and backup system control according to the control unit status information; Step 4: Provide real-time three-phase voltage data, imbalance data and historical control record information to operators through a visual monitoring interface. Generate operation suggestion information based on the current distribution network status information and historical control information in the database through artificial intelligence technology.

2. A three-phase unbalanced voltage control method for connecting new energy to a distribution network according to claim 1, characterized in that: The specific steps of analyzing the distribution network data are as follows: A1: Identify the distribution network data to obtain three-phase voltage data, power output data and load data; A2: The three-phase voltage data includes the phase voltages of the three phases. The phase voltages of the three phases are compared to obtain the maximum phase voltage and the minimum phase voltage, and the phase voltages of the three phases are averaged to obtain the average phase voltage. The maximum phase voltage, the minimum phase voltage and the average phase voltage are substituted into the imbalance calculation formula: imbalance = (maximum phase voltage - minimum phase voltage) / average phase voltage × 100%. The imbalance corresponding to the current three-phase voltage data is calculated by the imbalance formula, and a preset standard reference value of the imbalance is obtained. The difference between the current imbalance and the standard reference value is calculated and the obtained difference is marked as the imbalance difference; A3: Power generation output data includes the generator's gear vibration frequency, bearing temperature, power output value and power factor; A31: Obtain a preset gear vibration frequency threshold, compare the gear vibration frequency of each gear of the generator with the gear vibration frequency threshold, and when the gear vibration frequency is greater than the gear vibration frequency threshold, mark the corresponding gear as an abnormal gear, count the number of abnormal gears to obtain the number of abnormal gears, and calculate the ratio of the number of abnormal gears to the total number of gears to obtain the abnormal gear ratio; A32: Obtain a preset bearing temperature threshold, compare the bearing temperature corresponding to the current generator with the bearing temperature threshold, and when the bearing temperature is greater than the bearing temperature threshold, calculate the difference between the bearing temperature and the bearing temperature threshold to obtain a temperature overflow value, divide the temperature overflow value into multiple temperature overflow value intervals, each temperature overflow value interval corresponds to an overflow impact value, and match the temperature overflow value corresponding to the current bearing temperature with multiple temperature overflow value intervals to obtain the corresponding overflow impact value; A33: Perform reactive power calculation on the power output value and the power factor to obtain the corresponding reactive power, obtain a preset reactive power threshold, compare the reactive power with the reactive power threshold, and when the reactive power is greater than the reactive power threshold, mark the corresponding reactive power as a reactive power impact value; A34: Normalize the abnormal gear ratio, overflow impact value and reactive power impact value and take their values. The power generation output impact value FA is obtained; wherein CL, YC and Q represent the abnormal gear ratio value, the overflow impact value and the reactive power impact value respectively, and ΔQ represents the reactive power allowable difference; p1, p2 and p3 are all preset weight factors; A4: Load data includes industrial load, commercial load and residential load. The total load value is obtained by calculating and summing the industrial load, commercial load and residential load. The total load value is set to multiple load value intervals. Each load value interval corresponds to a load impact value. The current total load value is matched with multiple load value intervals to obtain the corresponding load impact value. A5: A right triangle is constructed with the imbalance difference and the power output impact value as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the right-angled vertex of the right triangle as the starting point. The length of the straight line is equal to the load impact value. A triangular pyramid is then constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the value of the volume is marked as the distribution network impact value. When the distribution network impact value is greater than the set threshold, the corresponding distribution network status information is generated as the distribution network status abnormality.

3. A method for controlling three-phase unbalanced voltage when new energy is connected to a distribution network according to claim 1, characterized in that: The specific steps of analyzing the control unit data are as follows: S1: Identify control unit data to obtain input data, processor load, fault data and communication data; S2: Input data includes input signal, sensor signal and response time; compare the input signal of each sensor with the sensor signal to obtain the signal fluctuation amplitude value of each sensor, obtain a preset signal fluctuation amplitude value threshold, compare the signal wave amplitude of each sensor with the signal fluctuation amplitude value threshold, when the signal wave amplitude is greater than the signal fluctuation amplitude value threshold, mark the corresponding signal fluctuation amplitude value as an abnormal fluctuation amplitude value, calculate and sum the abnormal fluctuation amplitude values ​​of each sensor to obtain the total abnormal fluctuation amplitude value; Similarly, the total duration of abnormal response corresponding to each sensor is obtained; The total value of the abnormal fluctuation amplitude and the total duration of the abnormal response are added together to obtain the total value of the input abnormality; S3: Processor load includes CPU usage and memory occupancy. A preset CPU usage warning value is obtained, and the CPU usage of each control unit is compared with the CPU usage warning value. When the CPU usage is greater than the CPU usage warning value, the CPU usage warning value is subtracted from the CPU usage to obtain the CPU over-limit usage. The CPU over-limit usage of each control unit is summed to obtain the total CPU over-limit usage. Similarly, the total memory over-limit usage corresponding to each control unit is obtained. The total CPU over-limit utilization rate and the total memory over-limit utilization rate are calculated and summed to obtain the total processor load value; S4: Obtain the number of faults per unit time according to the fault data, count the fault duration corresponding to each fault, divide the fault duration into multiple fault duration intervals, each fault duration interval corresponds to a fault impact value, match the fault duration of each fault with the fault duration interval to obtain the corresponding fault impact value; calculate and sum the fault impact values ​​of each fault to obtain the total fault value, and multiply the total fault value by the number of faults to obtain the fault impact index; S5: The communication data includes pre-communication data and post-communication data; the pre-communication data and the post-communication data are compared to obtain a data error rate; the time points of the pre-communication data and the post-communication data are respectively obtained and marked as pre-communication time points and post-communication time points, respectively, and the pre-communication time points and the post-communication time points are calculated to obtain a communication time difference; the data error rate and the communication time difference are multiplied to obtain a communication anomaly index; S6: Construct an ellipse with the values ​​of the total input abnormality value and the total processor load value as the major and minor axes of the ellipse, draw a straight line perpendicular to the ellipse with the center of the ellipse as the starting point, and the length of the straight line is equal to the fault impact value. Construct a circle parallel to the ellipse with the end point of the straight line as the center and the value of the communication abnormality index as the radius, and then construct a frustum with the ellipse, the straight line and the circle, calculate the volume of the frustum and mark the value of the volume as the control unit state value; when the control unit state value is greater than the set threshold, generate the corresponding control unit state information as the control state abnormality.

4. A method for controlling three-phase unbalanced voltage when a new energy source is connected to a distribution network according to claim 1, characterized in that: The automatic control strategy is formulated according to the distribution network status information, specifically: when the distribution network status information indicates that the distribution state is abnormal, three-phase voltage data is obtained and corresponding adjustment instructions are generated according to the three-phase voltage data, adjusted three-phase voltage data is obtained according to the adjustment instructions, the adjusted three-phase voltage data is subjected to an imbalance calculation formula to obtain an adjusted imbalance, the imbalance corresponding to the abnormal distribution state and the adjusted imbalance are calculated to obtain an imbalance difference, and when the imbalance difference is greater than a set threshold, a correctly adjusted control result is generated.

5. The method for controlling three-phase unbalanced voltage when new energy is connected to a distribution network according to claim 1, characterized in that: The early warning monitoring and backup system control according to the control unit status information is specifically as follows: the control unit status information is identified, and when the control unit status is abnormal, corresponding fault early warning information is generated; when the fault early warning information is generated, a backup system control instruction is generated at the same time, the status information of the power distribution network when the backup system is running is collected and marked as secondary status information, the number of abnormalities corresponding to the secondary status information per unit time is obtained, and the abnormality number and unit time are calculated to obtain the abnormality ratio of the backup system; Similarly, obtain the abnormal proportion of the control system per unit time, compare the abnormal proportion with the abnormal proportion of the backup system, when the abnormal proportion is greater than the abnormal proportion of the backup system, calculate the difference between the abnormal proportion and the abnormal proportion of the backup system to obtain the abnormal proportion difference, when the abnormal proportion difference is greater than the set threshold, execute step four.

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