Distributed resource coordination control method for multi-mode communication based on electric-hong operating system

Abstract

The application relates to a multi-mode communication distributed resource coordination control method based on an electric Hong operating system, and belongs to the technical field of power grid regulation and control, and comprises the following steps: step one: in each micro-grid controller and a distribution network unit, local hardware time stamps are stamped on collected state quantity data of reaction working conditions for executing resource coordination, and the state quantity data is uploaded through any communication channel of a multi-mode communication channel; step two: after the control module receives the state quantity data, the control module calculates an end-to-end delay through a time stamp generation time point, finds a maximum value in data ages of the state quantity data, and records the maximum value as a data age; step three: the control module judges whether the data age exceeds a first delay threshold value, and when the judgment result is yes, the control module instructs to reduce an adjustment step length.

Description

Technical Field

[0001] This invention belongs to the field of power grid control technology, specifically relating to a multi-mode communication distributed resource coordination and control method based on the Dianhong operating system. Background Technology

[0002] With the continuous implementation of the new energy strategy, power grid control has become increasingly important. As the feedback closed-loop information transmission bandwidth of power grid control becomes larger and larger, the requirements for data transmission reliability become higher and higher. Now, multi-mode power grid regulation is often adopted.

[0003] A common approach, such as the method, module, and terminal for controlling remote communication of intelligent power terminals disclosed in Chinese Patent CN107919003B, involves an embedded communication module automatically detecting the strength of various local communication signals, including satellite communication signals, GPRS, 3G, and 4G wireless communication signals. The module determines whether the strength of the preferred signal reaches a preferred communication threshold condition, or receives a control command to select a specific signal as the preferred signal, thereby completing data transmission for power transmission and distribution network intelligent station equipment and terminals. Another embodiment features an embedded hot-swappable communication module integrating BeiDou and GPRS circuits, capable of simultaneously receiving two or more signals. Through multi-mode communication, it enables power metering and distribution management signal acquisition and communication in remote areas and areas with unstable signals. With automatic detection and selection of the most economical tariff channel, it provides power supply companies with the option to use an economical tariff channel.

[0004] However, when communication and control loops are coupled, new problems may arise, especially in the case of a three-tiered main-distribution-microgrid system. For example, the operating conditions, such as the delay of the multi-mode communication link, may change dynamically. Control commands and status feedback data arrive via different communication channels with different delays, causing conflicts or oscillations in the three-tiered control actions. For instance, a regulation command may be sent to the microgrid controller via high-speed fiber optic cable, but the status data reflecting the actual output change of the microgrid may only be uploaded via a low-speed, high-latency LoRa channel due to current wireless signal interference. When the status data read by the main grid controller is significantly lagging behind the actual execution, it may misjudge the effect and reissue the regulation command. The system has poor anti-interference capabilities, and the above-mentioned solutions fail to solve this problem. Therefore, a multi-mode communication distributed resource coordination control method based on the Dianhong operating system with strong anti-interference capabilities is needed. Summary of the Invention

[0005] To address the aforementioned problems in the existing technology, this invention provides a multi-mode communication distributed resource coordination and control method based on the Dianhong operating system, which features strong anti-interference capabilities.

[0006] The objective of this invention can be achieved through the following technical solutions: A multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system includes the following steps: Step 1: In each microgrid controller and distribution network unit, the collected status data of the response conditions used to perform resource coordination are stamped with a local hardware timestamp, and the status data is uploaded through any communication channel of the multi-mode communication channel. Step 2: After receiving the status data, the control module calculates the end-to-end delay by generating a timestamp at the time of reception, finds the maximum value among the data ages of several status data, and records it as the data age; Step 3: The control module determines whether the data age exceeds the first delay threshold. If the determination result is yes, the control module instructs to reduce the adjustment step size.

[0007] As a preferred technical solution of the present invention, step two further includes: finding the maximum value Tm among the data ages of several state data; step three further includes: the control module instructs to adjust the step size to X1 times the original, where X1=1+c×(Tm0-Tm) / Tm0, where Tm0 is the pre-input first delay threshold, c is the pre-input amplification coefficient, Tm≥Tm0, and when the obtained Tm<Tm0, the control module instructs Tm=Tm0.

[0008] As a preferred technical solution of the present invention, step one further includes: obtaining the overall load of the power grid, and then calculating the fluctuation coefficient by sampling and calculating the variance based on the load data; it also includes step four: the control module determines whether the fluctuation coefficient exceeds the first fluctuation threshold, and when the determination result is yes, the adjustment cycle is increased.

[0009] As a preferred technical solution of the present invention, step one further includes: obtaining the overall load of the power grid, and then calculating the fluctuation coefficient B by sampling and calculating the variance based on the load data; step four further includes: the control module adjusts the adjustment period to X2 times the original, where X2=1+d×(B-B0) / B0, B0 is the first fluctuation threshold input in advance, and d is the amplification coefficient input in advance.

[0010] As a preferred technical solution of the present invention, it further includes step five: the control module calculates the comprehensive stability coefficient based on the data age and fluctuation coefficient, and determines whether the comprehensive stability coefficient is lower than the stability threshold. When the determination result is yes, the control module issues an alarm.

[0011] As a preferred technical solution of the present invention, in step five, the comprehensive stability coefficient Z is calculated as Z=(k1×B / B0+k2×Tm / Tm0) / (k1+k2), where k1 and k2 are pre-input weights.

[0012] As a preferred embodiment of the present invention, step one further includes: the control module obtains the number W of the microgrids connected to the grid, and the control module adjusts the first delay threshold to X3 times the original value, where X3 = W / W0, and W0 is the pre-input grid connection coefficient.

[0013] The beneficial effects of this invention are as follows: (1) By timestamping several state data, the control module records the maximum value of the data age of several state data as the data age, and then judges whether the data age exceeds the first delay threshold. When the data delay is high, the adjustment ratio is reduced, and the adjustment speed is reduced, which may be caused by the data arriving after different delays through multi-mode communication. This avoids over-adjustment based on outdated data and improves the system's anti-interference ability. (2) By acquiring the overall load of the power grid, the fluctuation coefficient is calculated by sampling and calculating the variance based on the load data; at the same time, the control module judges whether the fluctuation coefficient exceeds the first fluctuation threshold. When the judgment result is yes, the adjustment cycle is reduced. When the power grid fluctuation is large and the adjustment step frequency cycle is too small, it may cause system oscillation. The adjustment ratio is reduced, thereby reducing the adjustment speed, avoiding over-adjustment based on outdated data, and improving the system's anti-interference ability. (3) The number of microgrids W connected to the grid is obtained by setting the control module, and the first delay threshold is adjusted to X3 times the original value, where X3 = W / W0 and W0 is the pre-input grid connection coefficient. This completes the task of appropriately sacrificing system stability and robustness to restore regulation efficiency when there are more systems, the probability of a certain data facing unavoidable fluctuations leading to delays, and when multiple microgrid systems require more efficiency. Attached Figure Description

[0014] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0015] Figure 1 This is a schematic diagram of the steps of the present invention. Detailed Implementation

[0016] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0017] Please see Figure 1 A multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system includes the following steps: Step 1: In each microgrid controller and distribution network unit, the collected status data of the response conditions used to perform resource coordination are stamped with a local hardware timestamp, and the status data is uploaded through any communication channel of the multi-mode communication channel. Specifically, this operating condition includes at least the grid connection point power P, frequency f, and energy storage SOC, and the state data with timestamps is uploaded to the main grid control module through any available communication channel in the multi-mode communication channel. This step is the basis for subsequent judgment and adjustment, ensuring that each piece of raw data carries its exact generation time information. Step 2: After receiving the status data, the control module immediately records the reception time and calculates the end-to-end transmission delay of the data based on the local hardware timestamp in the data packet. Then, among all the status data received in the current control cycle, it finds the value with the largest delay and records it as the data age Tm. This data age reflects the data freshness of the worst communication link in the current multimode communication network and is the core indicator for judging the overall communication quality. However, in actual operation, when some microgrid controllers can only upload status data through the low-speed, high-latency LoRa channel due to wireless signal interference, the age of the data received by the control module will increase significantly. If the control module still issues adjustment commands according to the normal step size at this time, it may cause over-adjustment due to judgment based on outdated data, which in turn causes oscillations in the three-layer control action of the main, distribution and microgrids. Therefore, step three: the control module determines whether the data age exceeds the first delay threshold. When the determination result is yes, the control module instructs to reduce the adjustment step size. Specifically, in step three, the control module instructs to adjust the step size to X1 times the original size, where X1 = 1 + c × (Tm0 - Tm) / Tm0, where Tm0 is the pre-input first delay threshold, c is the pre-input amplification coefficient, and Tm ≥ Tm0. When the obtained Tm is less than Tm0, the control module sets Tm = Tm0 to avoid excessive increase in the step size. When Tm is large, c×(Tm0-Tm) / Tm0 is less than 0, and 1+c×(Tm0-Tm) / Tm0 is less than 1. When the control module instructs to adjust the step size to X1 times the original size, the reduction of the adjustment step size is completed. By timestamping several state data, the control module records the maximum value among the data ages of these state data as the data age. Then, it determines whether the data age exceeds the first delay threshold. When the data delay is high, which may be due to the data arriving after different delays through multi-mode communication, the control module reduces the adjustment ratio and thus reduces the adjustment speed. This avoids over-adjustment based on outdated data and improves the system's anti-interference capability.

[0018] After solving the oscillation problem caused by communication delay in step three, another source of disturbance was found in actual operation: when the overall load of the power grid fluctuates drastically, even if the communication is completely normal, the fixed control cycle may cause the system response to mismatch. If the control cycle is too short, the system will not have time to digest the effect of the previous adjustment before issuing a new command, which will also easily cause oscillation. Therefore, step one also includes: obtaining the overall load of the power grid, and then calculating the fluctuation coefficient by sampling and calculating the variance based on the load data; it also includes step four: the control module determines whether the fluctuation coefficient exceeds the first fluctuation threshold. When the determination result is yes, the adjustment cycle is increased, that is, the time interval between two consecutive adjustment commands is extended, so that the system has more time to wait for the effect of the previous adjustment to be fully manifested before making the next judgment. Specifically, step one also includes: obtaining the overall load of the power grid, and then calculating the fluctuation coefficient B by sampling and calculating the variance based on the load data; step four also includes: the control module adjusts the adjustment period to X2 times the original, where X2=1+d×(B-B0) / B0, B0 is the first fluctuation threshold input in advance, and d is the amplification coefficient input in advance. When B is large, d×(B-B0) / B0 is greater than 0, and 1+d×(B-B0) / B0 is greater than 1. When the control module instruction adjusts the adjustment cycle to twice the original value, the adjustment cycle is increased. By acquiring the overall load of the power grid, the fluctuation coefficient is calculated by sampling and calculating the variance based on the load data. At the same time, the control module determines whether the fluctuation coefficient exceeds the first fluctuation threshold. When the determination result is yes, the adjustment cycle is reduced. When the power grid fluctuates greatly and the adjustment step frequency cycle is too small, it may cause system oscillation. The adjustment ratio is reduced, thereby reducing the adjustment speed. This avoids over-adjustment based on outdated data and improves the system's anti-interference ability. After simultaneously introducing adaptive adjustment of communication quality and adaptive adjustment of power grid fluctuations, this embodiment further evaluates the overall stability of the current system. Specifically, the control module calculates the comprehensive stability coefficient Z=k1×B / B0+k2×Tm / Tm0 / k1+k2 based on the data age Tm and fluctuation coefficient B obtained in the aforementioned steps. k1 and k2 are pre-input weights, representing the weights of power grid fluctuation factors and communication delay factors in the comprehensive evaluation, respectively. The control module then determines whether Z is lower than the pre-input stability threshold. If the result is yes, it indicates that the current system has entered a dangerous area with insufficient stability margin, whether due to poor communication quality or excessive power grid fluctuations. At this time, the control module issues an alarm to prompt maintenance personnel to intervene and check.

[0019] In the aforementioned steps, the first delay threshold Tm0 is set to a fixed value. However, in practical engineering applications, when the number of microgrids connected to the grid changes significantly, a fixed delay threshold cannot simultaneously meet the requirements of high sensitivity for small-scale systems and the requirements of false alarm tolerance for large-scale systems. For example, when only two microgrids are connected to the grid, the data delay of any one microgrid is crucial, requiring a smaller delay threshold to detect anomalies early. However, when 50 microgrids are connected to the grid, due to the statistical smoothing effect, the data delay of individual microgrids will not have a decisive impact on the overall control. If an excessively small delay threshold is still used, the system will become too conservative due to frequent triggering of step size reduction operations, sacrificing regulation efficiency. To this end, step one also includes: the control module obtains the number W of the microgrids connected to the grid, and the control module adjusts the first delay threshold to X3 times the original value, where X3 = W / W0, and W0 is the pre-input grid connection coefficient. That is, the more microgrids connected to the grid, the greater the first delay threshold is amplified, making the system more tolerant to the data delay of a single microgrid, thereby maintaining high regulation efficiency in large-scale grid connection scenarios and high regulation sensitivity in small-scale grid connection scenarios. It should be noted that the adjustment of the first delay threshold in this step is independent of the step size judgment logic based on the threshold in step three. The two are compatible with each other, that is, the threshold Tm0 used in step three is the dynamic value after adjustment in this step. The number of microgrids W connected to the grid is obtained by setting the control module, and the first delay threshold is adjusted to X3 times the original value, where X3 = W / W0, and W0 is the pre-input grid connection coefficient. This completes the task of appropriately sacrificing system stability and robustness to restore regulation efficiency when there are more systems, the probability of a certain data facing unavoidable fluctuations leading to delays, and when multi-microgrid systems require higher efficiency.

[0020] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system, characterized in that: Includes the following steps: Step 1: In each microgrid controller and distribution network unit, the collected status data of the response conditions used to perform resource coordination are stamped with a local hardware timestamp, and the status data is uploaded through any communication channel of the multi-mode communication channel. Step 2: After receiving the status data, the control module calculates the end-to-end delay by generating a timestamp at the time of reception, finds the maximum value among the data ages of several status data, and records it as the data age; Step 3: The control module determines whether the data age exceeds the first delay threshold. If the determination result is yes, the control module instructs to reduce the adjustment step size.

2. The multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system according to claim 1, characterized in that: Step two further includes finding the maximum value Tm among the data ages of several state variables; Step three further includes: the control module instructs to adjust the step size to X1 times the original size, where X1=1+c×(Tm0-Tm) / Tm0, where Tm0 is the pre-input first delay threshold, c is the pre-input amplification coefficient, Tm≥Tm0, and when the obtained Tm<Tm0, the control module instructs Tm=Tm0.

3. The multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system according to claim 2, characterized in that: Step one also includes: obtaining the overall load of the power grid, and then calculating the fluctuation coefficient by sampling and calculating the variance based on the load data; it also includes step four: the control module determines whether the fluctuation coefficient exceeds the first fluctuation threshold, and when the determination result is yes, the adjustment cycle is increased.

4. The multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system according to claim 3, characterized in that: Step one further includes: obtaining the overall load of the power grid, and then calculating the fluctuation coefficient B by sampling and calculating the variance based on the load data; Step four further includes: the control module adjusts the adjustment period to X2 times the original, where X2=1+d×(B-B0) / B0, B0 is the first fluctuation threshold input in advance, and d is the amplification coefficient input in advance.

5. The multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system according to claim 4, characterized in that: The process also includes step five: the control module calculates the comprehensive stability coefficient based on the data age and fluctuation coefficient, and determines whether the comprehensive stability coefficient is lower than the stability threshold. If the determination result is yes, the control module issues an alarm.

6. The multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system according to claim 5, characterized in that: In step five, the comprehensive stability coefficient Z is calculated as Z=(k1×B / B0+k2×Tm / Tm0) / (k1+k2), where k1 and k2 are pre-input weights.

7. The multi-mode communication distributed resource coordination and control method based on the Elec-Tech operating system according to claim 6, characterized in that: Step one further includes: the control module obtains the number W of microgrids connected to the grid, and the control module adjusts the first delay threshold to X3 times the original value, where X3 = W / W0, and W0 is the pre-input grid connection coefficient.

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