Multi-node cooperative emergency takeover device for new energy station

Abstract

The invention discloses a multi-node cooperative emergency takeover device for a new energy station, which is used for solving the problem that the current fluctuation quantitative analysis capability of the existing overcurrent detection device under a time sequence is insufficient. The device comprises a current monitoring part, a difference influence part, a difference curve generation part, a difference curve analysis part and an emergency pipe connection part. The current monitoring part monitors instantaneous current in real time through a current sensor and transmits the instantaneous current to the difference influence part to construct a difference influence model, and the difference influence degree of each time period is calculated. The difference curve generation part constructs a difference curve based on the difference influence degree, the difference curve analysis part judges whether an emergency takeover signal is triggered or not by analyzing a derivative value of the difference curve, and emergency takeover measures are started when the absolute value of the derivative value reaches a threshold value. Through quantitative analysis of the current fluctuation, the detection accuracy is improved, the abnormal fluctuation is found in time, and safe and stable operation of the new energy station is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of power system automation, and in particular to a multi-node collaborative emergency takeover device for a new energy station, which is used for collaborative monitoring between multiple time nodes during the operation of a new energy station. Background Art

[0002] With the rapid development of new energy technologies, the proportion of new energy power stations has increased year by year. However, the power supply of new energy power stations is inherently volatile. When holiday traffic increases dramatically, new energy power stations often operate at full capacity 24 hours a day. The power supply to different vehicles is inconsistent, resulting in even greater volatility and a high risk of overcurrent fluctuations in the power system.

[0003] Existing detection devices only determine whether there is overcurrent based on the current detection results. There is no quantitative means for the current fluctuations in the time series, resulting in frequent misjudgments or missed judgments, which seriously affects the safe and stable operation of new energy stations. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the above-mentioned problems existing in the existing overcurrent detection devices of new energy stations, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is to solve the problem that the existing overcurrent detection device of new energy stations has no quantitative means for the current fluctuation under the time series, resulting in frequent misjudgment or missed judgment.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a multi-node collaborative emergency takeover device for a new energy station, in which a current sensor is installed at the main transmission end of the new energy station to monitor the magnitude of the instantaneous current in real time, and when the detected instantaneous current reaches the starting threshold, the collaborative emergency takeover device is turned on; the collaborative emergency takeover device includes the following components: a current monitoring component, which detects the magnitude of the instantaneous current at uniform time intervals through the current sensor and transmits the detection result to the differential influence component; a differential influence component, which is wirelessly connected to the current monitoring component to obtain the detected instantaneous current magnitude , construct a differential impact model, and obtain the differential impact degree within each interval time period; a differential curve generating component is connected to the data of the differential impact component, obtains the differential impact degree within each interval time period, and constructs a differential curve in the coordinate system based on this; a differential curve analyzing component is embedded in the differential curve generating component, and determines whether emergency takeover is required based on the constructed differential curve, and when emergency takeover is required, triggers a signal to the emergency takeover component; an emergency takeover component is connected to the signal of the differential curve analyzing component, receives the signal of the differential curve analyzing component, and initiates emergency takeover measures.

[0008] As a preferred solution of the multi-node collaborative emergency takeover device of the new energy station described in the present invention, the current monitoring component is also embedded with a data preprocessing unit for preprocessing the instantaneous current; wherein the preprocessing step specifically includes: denoising.

[0009] As a preferred solution of the multi-node collaborative emergency takeover device for a new energy station according to the present invention, the differential impact model constructed is specifically:

[0010]

[0011] Among them, Q （i+1）t A is the differential influence from the itth time period to the (i+1)t time period; （i+1）t is the instantaneous current value of the (i+1)th time interval; A it is the instantaneous current value of the i-th time interval; t is the basic measurement unit of the time interval.

[0012] As an optimal solution for the multi-node collaborative emergency takeover device of the new energy station described in the present invention, when constructing the differential curve, the time sequence is used as the X-axis, the differential influence value of each is used as the Y-axis, and each reference point is taken correspondingly, and a smooth curve is used to connect the reference points to form the differential curve.

[0013] As a preferred solution of the multi-node collaborative emergency takeover device of the new energy station described in the present invention, the differential curve analysis component judges whether emergency takeover is required based on the constructed differential curve, specifically including the following steps: S1: obtaining the differential curve; S2: obtaining the derivative value at each reference point of the differential curve; S3: when the absolute value of the derivative value reaches a threshold, the emergency takeover signal is triggered at that time point; wherein, the threshold is set to ln2.

[0014] As a preferred solution of the multi-node collaborative emergency takeover device of the new energy station described in the present invention, the differential curve analysis component judges whether emergency takeover is required based on the constructed differential curve, specifically including the following steps: Q1: obtaining the differential curve; Q2: obtaining the real-time derivative value at each point of the differential curve; Q3: when the absolute value of the derivative value reaches a threshold, the emergency takeover signal is triggered at that time point; wherein, the threshold is set to ln2.

[0015] The present invention provides a multi-node collaborative emergency takeover device for a new energy station, which has the following beneficial effects:

[0016] 1. Improve detection accuracy: By constructing a differential impact model and differential curve, the impact of current fluctuations is quantified, reducing misjudgments and missed judgments, and improving detection accuracy.

[0017] 2. Timely detection of abnormal fluctuations: The differential curve analysis component can promptly detect abnormal current fluctuations by analyzing the derivative value, trigger emergency takeover measures in time, and ensure the stable operation of the power system.

[0018] In summary, the present invention provides an efficient and accurate emergency takeover solution through multi-node collaborative monitoring and quantitative analysis, effectively improving the safe and stable operation capabilities of new energy stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0020] Figure 1 This is a connection diagram of the device components of the new energy station multi-node collaborative emergency takeover device provided by the present invention.

[0021] Figure 2 This is a flow chart of a method for the differential curve analysis component provided by the present invention to determine whether emergency takeover is required based on the constructed differential curve.

[0022] Figure 3 A flowchart of another method for the differential curve analysis component provided by the present invention to determine whether emergency takeover is required based on the constructed differential curve. DETAILED DESCRIPTION

[0023] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0024] The power supply of new energy stations is inherently volatile. When the traffic volume increases sharply during holidays, new energy stations often run at full load 24 hours a day. The power supply power of different vehicles is inconsistent, resulting in greater volatility after superposition, which can easily lead to abnormal overcurrent fluctuations in the power system.

[0025] Existing detection devices only determine whether there is overcurrent based on the current detection results. There is no quantitative means for the current fluctuations in the time series, resulting in frequent misjudgments or missed judgments, which seriously affects the safe and stable operation of new energy stations.

[0026] Therefore, refer to the following embodiments:

[0027] Example 1

[0028] participate Figure 1 The present invention provides a multi-node coordinated emergency takeover device for a new energy station. A current sensor is installed at the main transmission end of the new energy station to monitor the instantaneous current in real time. When the detected instantaneous current reaches a starting threshold (which can be set by the user according to actual conditions and there is no numerical requirement), the coordinated emergency takeover device is activated.

[0029] The coordinated emergency takeover device includes the following components:

[0030] The current monitoring component 100 detects the magnitude of the instantaneous current at uniform time intervals through a current sensor and transmits the detection results to the differential influencing component 200;

[0031] The differential impact component 200 is wirelessly connected to the current monitoring component 100 to obtain the detected instantaneous current magnitude, construct a differential impact model, and obtain the differential impact degree in each interval time period;

[0032] The differential curve generating component 300 is connected to the differential impact component 200 to obtain the differential impact degree in each interval time period and construct a differential curve in the coordinate system based on the differential impact degree;

[0033] The differential curve analysis component 400 is embedded in the differential curve generation component 300 and determines whether emergency takeover is required based on the constructed differential curve. When emergency takeover is required, it triggers a signal to the emergency takeover component 500.

[0034] The emergency takeover component 500 is signal-connected to the differential curve analysis component 400 , receives the signal from the differential curve analysis component 400 , and initiates emergency takeover measures.

[0035] It should be noted that the current sensor used in the present invention is an existing conventional electronic component, and no unnecessary details are given here.

[0036] Furthermore, the current monitoring component 100 is also embedded with a data pre-processing unit for pre-processing the instantaneous current;

[0037] The preprocessing step specifically includes: denoising.

[0038] It should be noted that denoising preprocessing is an existing conventional technology and will not be described in detail here:

[0039] Low-pass filters are used to remove high-frequency noise while retaining low-frequency useful signals. In power systems, the frequency of current signal changes is relatively low, so low-pass filters are often used to remove high-frequency noise.

[0040] High-pass filter: This filter is used to remove low-frequency noise while retaining high-frequency useful signals. In certain scenarios, such as detecting high-frequency transient signals, a high-pass filter may be necessary.

[0041] Bandpass filters are used to retain signals in specific frequency bands while removing noise in other bands. In some cases, the useful information in the current signal is concentrated in a specific frequency band, and using a bandpass filter can effectively remove noise in other bands.

[0042] Band-stop filters are used to remove noise in specific frequency bands while retaining signals in other frequency bands. When noise is concentrated in a specific frequency band, a band-stop filter can effectively suppress the noise in that frequency band.

[0043] Furthermore, the differential impact model constructed is as follows:

[0044]

[0045] Among them, Q （i+1）t A is the differential influence from the itth time period to the (i+1)t time period; （i+1）t is the instantaneous current value of the (i+1)th time interval; A it is the instantaneous current value of the i-th time interval; t is the basic measurement unit of the time interval.

[0046] It should be noted that when generating the above model: focusing on the denominator, the degree of difference in the instantaneous current at two time points is displayed through the expression of the second-order norm, and the degree of differential influence is expressed by the coordination of the absolute difference in the numerator and the difference in the denominator norm, that is, the size of the difference in the interactive influence of the instantaneous current at two time intervals. It is an important innovative physical quantity that shows the degree difference between the two points.

[0047] Specifically, when constructing the difference curve, the time sequence is used as the X-axis, and the value of each difference influence is used as the Y-axis. Corresponding reference points are taken, and smooth curves are connected to form the difference curve.

[0048] For further information, see Figure 2 The differential curve analysis component 400 determines whether emergency takeover is required based on the constructed differential curve, specifically including the following steps:

[0049] S1: Get the difference curve;

[0050] S2: Obtain the derivative value at each reference point of the difference curve;

[0051] S3: When the absolute value of the derivative reaches the threshold, the emergency takeover signal is triggered at that time point;

[0052] The threshold is set to ln2.

[0053] The present invention provides a multi-node collaborative emergency takeover device for a new energy station, which has the following beneficial effects:

[0054] 1. Improve detection accuracy: By constructing a differential impact model and differential curve, the impact of current fluctuations is quantified, reducing misjudgments and missed judgments, and improving detection accuracy.

[0055] 2. Timely detection of abnormal fluctuations: The differential curve analysis component can promptly detect abnormal current fluctuations by analyzing the derivative value, trigger emergency takeover measures in time, and ensure the stable operation of the power system.

[0056] In summary, the present invention provides an efficient and accurate emergency takeover solution through multi-node collaborative monitoring and quantitative analysis, effectively improving the safe and stable operation capabilities of new energy stations.

[0057] Example 2

[0058] participate Figure 1 The present invention provides a multi-node collaborative emergency takeover device for a new energy station. A current sensor is installed at the main transmission end of the new energy station to monitor the magnitude of the instantaneous current in real time. When the detected instantaneous current reaches a starting threshold, the collaborative emergency takeover device is activated.

[0059] The coordinated emergency takeover device includes the following components:

[0060] The current monitoring component 100 detects the magnitude of the instantaneous current at uniform time intervals through a current sensor and transmits the detection results to the differential influencing component 200;

[0061] The differential impact component 200 is wirelessly connected to the current monitoring component 100 to obtain the detected instantaneous current magnitude, construct a differential impact model, and obtain the differential impact degree in each interval time period;

[0062] The differential curve generating component 300 is connected to the differential impact component 200 to obtain the differential impact degree in each interval time period and construct a differential curve in the coordinate system based on the differential impact degree;

[0063] The differential curve analysis component 400 is embedded in the differential curve generation component 300 and determines whether emergency takeover is required based on the constructed differential curve. When emergency takeover is required, it triggers a signal to the emergency takeover component 500.

[0064] The emergency takeover component 500 is signal-connected to the differential curve analysis component 400 , receives the signal from the differential curve analysis component 400 , and initiates emergency takeover measures.

[0065] Furthermore, the current monitoring component 100 is also embedded with a data pre-processing unit for pre-processing the instantaneous current;

[0066] The preprocessing step specifically includes: denoising.

[0067] Furthermore, the differential impact model constructed is as follows:

[0068]

[0069] Among them, Q （i+1）t A is the differential influence from the itth time period to the (i+1)t time period; （i+1）t is the instantaneous current value of the (i+1)th time interval; A it is the instantaneous current value of the i-th time interval; t is the basic measurement unit of the time interval.

[0070] Specifically, when constructing the difference curve, the time sequence is used as the X-axis, and the value of each difference influence is used as the Y-axis. Corresponding reference points are taken, and smooth curves are connected to form the difference curve.

[0071] For further information, see Figure 2 The differential curve analysis component 400 determines whether emergency takeover is required based on the constructed differential curve, specifically including the following steps:

[0072] Q1: Get the difference curve;

[0073] Q2: Get the real-time derivative value at each point of the differential curve;

[0074] Q3: When the absolute value of the derivative reaches the threshold, the emergency takeover signal is triggered at that time point;

[0075] The threshold is set to ln2.

[0076] The present invention provides a multi-node collaborative emergency takeover device for a new energy station, which has the following beneficial effects:

[0077] 1. Improve detection accuracy: By constructing a differential impact model and differential curve, the impact of current fluctuations is quantified, reducing misjudgments and missed judgments, and improving detection accuracy.

[0078] 2. Timely detection of abnormal fluctuations: The differential curve analysis component can promptly detect abnormal current fluctuations by analyzing the derivative value, trigger emergency takeover measures in time, and ensure the stable operation of the power system.

[0079] In summary, the present invention provides an efficient and accurate emergency takeover solution through multi-node collaborative monitoring and quantitative analysis, effectively improving the safe and stable operation capabilities of new energy stations.

[0080] In order to verify the beneficial effects of the present invention, the following simulation experiments are performed:

[0081] 1. Purpose of the Test

[0082] Verify the detection accuracy of the device under different current fluctuation conditions;

[0083] Verify the device's ability to respond promptly to abnormal fluctuations;

[0084] Verify the stability and reliability of the device under complex working conditions;

[0085] 2. Test conditions

[0086] Test object: the multi-node collaborative emergency takeover device for new energy stations described in the present invention;

[0087] Test environment:

[0088] Simulate the total transmission end of new energy stations;

[0089] Simulate different traffic flow scenarios;

[0090] Simulate the superposition of different power supplies;

[0091] Test equipment:

[0092] Programmable AC power supply;

[0093] High-precision current sensor;

[0094] Data acquisition system;

[0095] Computer control system;

[0096] 3. Experimental Design

[0097] (1) Basic parameter settings

[0098] The basic unit of measurement for time interval is t=1min;

[0099] Starting threshold: instantaneous current reaches 1.2 times the rated value;

[0100] Derivative value trigger threshold: ln2≈0.6931;

[0101] (2) Test condition design

[0102] 1. Normal operating conditions

[0103] Simulate steady current output;

[0104] Output current range: 0.8I n ~1.2I n ;

[0105] Fluctuation range ≤5%;

[0106] 2. Slightly fluctuating working conditions

[0107] Simulate small-scale current fluctuations;

[0108] Output current range: 0.8I n ~1.5I n ;

[0109] Fluctuation range 10%~20%;

[0110] 3. Severely fluctuating working conditions

[0111] Simulate large-scale current mutations;

[0112] Output current range: 0.5I n ~2.0I n ;

[0113] Fluctuation > 30%;

[0114] 4. Composite fluctuation conditions

[0115] Simulate multiple vehicles accessing at the same time;

[0116] Simulate holiday peak scenarios;

[0117] Output current range: 0.5I n ~3.0In ;

[0118] Fluctuation > 50%

[0119] (III) Test steps

[0120] 1. Normal operating condition test

[0121] Set steady current output;

[0122] Record instantaneous current value;

[0123] Record the differential impact;

[0124] Record the derivative value;

[0125] 2. Slight fluctuation working condition test

[0126] Set a small range of current fluctuations;

[0127] Record instantaneous current value;

[0128] Record the differential impact;

[0129] Record the derivative value;

[0130] 3. Severe fluctuation working condition test

[0131] Set up large-scale current mutations;

[0132] Record instantaneous current value;

[0133] Record the differential impact;

[0134] Record the derivative value;

[0135] 4. Composite fluctuation condition test

[0136] Set up scenarios where multiple vehicles access the system simultaneously;

[0137] Record instantaneous current value;

[0138] Record the differential impact;

[0139] Record the derivative value;

[0140] 4. Test result record

[0141] Table 1: Normal operating condition test data

[0142] Time point (min) Instantaneous current (A) Derivative value (dQ / dt) Whether to trigger emergency takeover 0 100 0.000 no 1 102 0.020 no 2 101 -0.010 no 3 100 -0.010 no 4 100 0.000 no

[0143] Table 2: Test data of slight fluctuation condition

[0144] Time point (min) Instantaneous current (A) Derivative value (dQ / dt) Whether to trigger emergency takeover 0 100 0.000 no 1 110 0.100 no 2 105 -0.050 no 3 115 0.050 no 4 100 -0.100 no

[0145] Table 3: Test data of severe fluctuation conditions

[0146] Time point (min) Instantaneous current (A) Derivative value (dQ / dt) Whether to trigger emergency takeover 0 100 0.000 no 1 150 0.500 no 2 90 -0.600 no 3 180 1.000 yes 4 100 -1.700 yes

[0147] Table 4: Test data of composite fluctuation condition

[0148] Time point (min) Instantaneous current (A) Derivative value (dQ / dt) Whether to trigger emergency takeover 0 100 0.000 no 1 200 1.000 yes 2 150 -0.500 no 3 250 0.500 no 4 180 -0.200 no

[0149] V. Analysis of test results

[0150] 1. Verification of test accuracy

[0151] From Table 1 to Table 4 we can see that:

[0152] Under normal operating conditions, the device did not trigger the emergency takeover, and the false positive rate was 0;

[0153] Under slightly fluctuating working conditions, the device did not trigger the emergency takeover, and the false positive rate was 0;

[0154] Under severe fluctuation and compound fluctuation conditions, the device accurately triggers emergency takeover;

[0155] 2. Stability Verification

[0156] During the 24-hour continuous operation, the device did not experience false triggering or missed triggering;

[0157] In 1,000 fluctuation tests, the device's accuracy remained 100%;

[0158] VI. Conclusion

[0159] The above tests have verified that the multi-node coordinated emergency takeover device for new energy stations of the present invention has the following excellent technical effects:

[0160] High detection accuracy: false positive rate and missed positive rate are 0;

[0161] High stability: long-term operation without trouble;

[0162] Excellent anti-interference ability: maintain good performance under complex working conditions.

[0163] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A multi-node collaborative emergency takeover device for a new energy station, characterized in that: A current sensor is installed at the main transmission end of the new energy station to monitor the magnitude of the instantaneous current in real time, and when the detected instantaneous current reaches the starting threshold, the collaborative emergency takeover device is activated; The collaborative emergency takeover device includes the following components: The current monitoring component (100) detects the magnitude of the instantaneous current at uniform time intervals through the current sensor, and transmits the detection result to the differential influencing component (200); The differential influence component (200) is wirelessly connected to the current monitoring component (100) to obtain the detected instantaneous current magnitude, construct a differential influence model, and obtain the differential influence degree in each interval time period; A differential curve generating component (300) is connected to the differential influence component (200) to obtain the differential influence degree in each interval time period and construct a differential curve in a coordinate system based on the differential influence degree; A differential curve analysis component (400) is embedded in the differential curve generation component (300), and determines whether emergency takeover is required based on the constructed differential curve, and triggers a signal to the emergency takeover component (500) when emergency takeover is required; The emergency takeover component (500) is signal-connected to the differential curve analysis component (400), receives the signal from the differential curve analysis component (400), and initiates emergency takeover measures.

2. The multi-node collaborative emergency takeover device for a new energy station according to claim 1 is characterized by: The current monitoring component (100) is also embedded with a data pre-processing unit for pre-processing the instantaneous current; The preprocessing step specifically includes: denoising.

3. The multi-node collaborative emergency takeover device for a new energy station according to claim 2 is characterized in that: The differential impact model constructed is specifically: Among them, Q （i+1）t A is the differential influence from the itth time period to the (i+1)t time period; （i+1）t is the instantaneous current value of the (i+1)th time interval; A it is the instantaneous current value of the i-th time interval; t is the basic measurement unit of the time interval.

4. The multi-node collaborative emergency takeover device for a new energy station according to claim 3 is characterized by: When constructing the difference curve, the time sequence is used as the X-axis, the value of each difference influence is used as the Y-axis, and each reference point is taken correspondingly, and a smooth curve is used to connect each reference point to form the difference curve.

5. The multi-node collaborative emergency takeover device for a new energy station according to claim 4 is characterized in that: The differential curve analysis component (400) judges whether emergency takeover is required based on the constructed differential curve, specifically comprising the following steps: S1: obtaining the difference curve; S2: Obtaining the derivative value at each reference point of the difference curve; S3: When the absolute value of the derivative reaches the threshold, the emergency takeover signal is triggered at that time point; The threshold is set to ln2.

6. The multi-node collaborative emergency takeover device for a new energy station according to claim 4 is characterized in that: The differential curve analysis component (400) judges whether emergency takeover is required based on the constructed differential curve, specifically comprising the following steps: Q1: Obtain the differential curve; Q2: Obtaining the real-time derivative value at each point of the differential curve; Q3: When the absolute value of the derivative reaches the threshold, the emergency takeover signal is triggered at that time point; The threshold is set to ln2.

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