Control device with capability of quickly responding to frequency change of power grid

Abstract

The utility model discloses a control device capable of quickly responding to frequency change of a power grid, which comprises a frequency detection module, a predictive control module, an actuator control module, a data communication module and a man-machine interaction module, and is characterized in that the frequency detection module is used for collecting frequency signals of the power grid and transmitting the collected data to the predictive control module; and the prediction control module is used for predicting a future frequency change trend of the power grid according to monitoring data of the frequency detection module, adjusting a control strategy in advance according to the predicted change trend and transmitting the strategy to the actuator control module. The device predicts the frequency change trend of the power grid in advance, adjusts the control strategy before fluctuation, can reduce the impact of sudden load change on the power grid, and improves the response speed and facilitates the guarantee of the stability of a power system compared with a traditional power grid frequency control device.

Description

Technical Field

[0001] The utility model relates to the technical field of power system control, and in particular to a control device capable of quickly responding to changes in power grid frequency. Background Art

[0002] With the continuous growth of electricity demand and the increasing complexity of power grid structures, the frequency stability of power systems has become one of the key factors in ensuring the safe operation of power grids. The fluctuation of grid frequency is mainly affected by the balance of power supply and demand. When the power load suddenly increases or the power generation output fluctuates, the grid frequency will change accordingly. If the frequency fluctuation exceeds the allowable range, it may cause equipment damage, system instability and even large-scale power outages. Therefore, how to respond quickly when the frequency fluctuates and restore the frequency to a stable state is a core issue in the field of power system control.

[0003] Traditional grid frequency control devices usually take a long time to sense frequency changes and adjust power generation output or load. This delay will cause frequency fluctuations to expand and it is difficult to quickly return to a stable state. In addition, with the increase in the proportion of renewable energy power generation, the dynamics and uncertainty of grid frequency fluctuations have increased significantly. Existing technologies are often unable to effectively adapt to these rapid changes, resulting in unsatisfactory control effects. Therefore, a control device with the ability to quickly respond to grid frequency changes is proposed. Utility Model Content

[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 in the abstract and title of the utility model to avoid obscuring the purpose of this section, the abstract and the title of the utility model, and such simplifications or omissions shall not be used to limit the scope of the present invention.

[0005] In view of the above-mentioned problem of a control device capable of quickly responding to changes in grid frequency, the present utility model is proposed.

[0006] Therefore, the purpose of the present invention is to provide a control device capable of quickly responding to changes in grid frequency, which is used to solve the above technical problems.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a control device capable of quickly responding to grid frequency changes, comprising:

[0008] A frequency detection module, which is used to collect frequency signals of the power grid and transmit the collected data to the prediction control module;

[0009] A prediction control module, which is used to predict the future frequency change trend of the power grid based on the monitoring data of the frequency detection module, adjust the control strategy in advance according to the predicted change trend, and transmit the strategy to the actuator control module;

[0010] an actuator control module, configured to drive a corresponding actuator to perform a frequency adjustment operation according to a strategy generated by the prediction control module;

[0011] A data communication module, which is used to realize data transmission between modules and between the control device and an external system;

[0012] A human-computer interaction module is used to provide an operation interface for the user, display the grid frequency and the predicted future grid frequency change trend, and allow manual intervention in the actuator control module.

[0013] As a preferred solution of a control device capable of quickly responding to grid frequency changes described in the present invention, the predictive control module includes a prediction model unit and a control strategy generation unit. The prediction model unit is used to predict future frequency fluctuations using the ARIMA algorithm based on historical and real-time data collected by the frequency detection module. The control strategy generation unit is used to generate a control strategy in advance according to the prediction results.

[0014] As a preferred solution of the control device with the ability to quickly respond to changes in grid frequency described in the present invention, the predictive control module also includes a feedback adaptive unit, which is used to adjust the ARIMA algorithm parameters according to the execution effect of the control strategy.

[0015] As a preferred solution of a control device capable of quickly responding to changes in grid frequency as described in the utility model, the execution effect of the control strategy includes the fluctuation amplitude of the grid frequency in the time period after the execution of the strategy and the time required for the grid frequency to return to the target range after the execution of the control strategy.

[0016] As a preferred solution of the control device with the ability to quickly respond to changes in grid frequency described in the present invention, the actuator includes a generator and an electric load control device.

[0017] As a preferred solution of the control device capable of quickly responding to changes in grid frequency described in the present invention, the human-computer interaction module includes a display, a mouse and a keyboard.

[0018] The beneficial effects of the present invention are as follows: by setting up a frequency detection module and a prediction control module, the device can predict the frequency change trend of the power grid in advance and adjust the control strategy before fluctuations occur, which can reduce the impact of sudden load changes on the power grid. Compared with traditional power grid frequency control devices, the response speed is improved, which is conducive to ensuring the stability of the power system. 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. For those skilled in the art, other drawings can be obtained based on these drawings without inventive work. Among them:

[0020] Figure 1 This is a schematic diagram of the framework structure of a control device capable of quickly responding to changes in grid frequency in the present utility model.

[0021] Description of the drawings: 100, frequency detection module; 200, prediction control module; 201, prediction model unit; 202, control strategy generation unit; 203, feedback adaptation unit; 300, actuator control module; 400, data communication module; 500, human-computer interaction module. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below with reference to the accompanying drawings.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0025] Furthermore, the present invention is described in detail with reference to schematic diagrams. For ease of illustration, when describing embodiments of the present invention, cross-sectional views of device structures may be partially enlarged and not to scale. Furthermore, the schematic diagrams are merely illustrative and should not limit the scope of protection of the present invention. Furthermore, in actual production, three-dimensional dimensions, including length, width, and depth, should be included.

[0026] Reference Figure 1 , is an embodiment of the present invention, which provides a control device capable of quickly responding to grid frequency changes, comprising:

[0027] The frequency detection module 100 is used to collect the frequency signal of the power grid and transmit the collected data to the prediction control module 200.

[0028] The prediction control module 200 is used to predict the future frequency change trend of the power grid based on the monitoring data of the frequency detection module 100, adjust the control strategy in advance according to the predicted change trend, and transmit the strategy to the actuator control module 300. The prediction control module 200 includes a prediction model unit 201 and a control strategy generation unit 202. The prediction model unit 201 is used to use the ARIMA algorithm to predict future frequency fluctuations based on the historical and real-time data collected by the frequency detection module 100. The control strategy generation unit 202 is used to generate a control strategy in advance according to the prediction results.

[0029] Specifically, ARIMA is a statistical model used for time series forecasting. It combines the concepts of autoregression, moving average, and differential integration, and aims to convert non-stationary time series into stationary time series for forecasting. This is an existing technology and will not be described in detail.

[0030] The actuator control module 300 is used to drive the corresponding actuator to perform frequency adjustment operations according to the strategy generated by the prediction control module 200. The actuator includes a generator and an electric load control device.

[0031] The data communication module 400 is used to realize data transmission between modules and between the control device and an external system.

[0032] The human-computer interaction module 500 is used to provide an operation interface for the user, display the grid frequency and the predicted future grid frequency change trend, and allow manual intervention of the actuator control module 300. The human-computer interaction module 500 includes a display, a mouse and a keyboard.

[0033] Specifically, the prediction control module 200 also includes a feedback adaptation unit 203, which is used to adjust the ARIMA algorithm parameters according to the execution effect of the control strategy. The execution effect of the control strategy includes the fluctuation amplitude of the grid frequency in the time period after the execution of the strategy and the time required for the grid frequency to return to the target range after the control strategy is executed. Among them, the ARIMA parameters include the autoregressive order, the difference order and the moving average order. By comparing the predicted results with the actual results, these parameters are adjusted to improve the prediction accuracy.

[0034] Working principle: The frequency detection module 100 monitors the frequency signal of the power grid in real time and collects the current frequency data of the power grid. The collected data is transmitted to the prediction control module 200 through the data communication module 400. After the prediction control module 200 receives the historical and real-time data transmitted by the frequency detection module, the prediction model unit 201 uses the ARIMA algorithm to predict the future frequency change trend of the power grid based on the historical trend and current fluctuation of the power grid frequency. The control strategy generation unit 202 generates the corresponding control strategy in advance according to the output result of the prediction model unit 201. The strategy includes adjusting the output power of the generator or the operation of the load control device to cope with the impending frequency change. To ensure that the grid frequency fluctuates within the allowable range, the actuator control module 300 controls each actuator to execute the control strategy. The feedback adaptation unit 203 uses the data collected by the frequency detection module 100 to feedback the execution effect of the monitoring strategy, mainly including the fluctuation amplitude of the grid frequency and the time required for the frequency to recover to the target range. Based on these feedbacks, the parameters of the ARIMA algorithm are adjusted to enable the system to adapt to different grid operating conditions. The human-computer interaction module 500 provides users with an intuitive operation interface, displaying the current grid frequency and the predicted future grid frequency change trend. Users can monitor through this module and manually intervene in the actuator control module 300 when necessary.

[0035] 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, and all of these should be included in the scope of the claims of the present invention.

Claims

1. A control device capable of rapidly responding to grid frequency changes, characterized in that: include: A frequency detection module (100), the frequency detection module (100) being used to collect frequency signals of a power grid and transmit the collected data to a prediction control module (200); A prediction control module (200), the prediction control module (200) being used to predict the future frequency change trend of the power grid based on the monitoring data of the frequency detection module (100), adjust the control strategy in advance based on the predicted change trend, and transmit the strategy to the actuator control module (300); an actuator control module (300), the actuator control module (300) being configured to drive a corresponding actuator to perform a frequency adjustment operation according to a strategy generated by the prediction control module (200); A data communication module (400), the data communication module (400) is used to realize data transmission between modules and between the control device and an external system; A human-machine interaction module (500) is used to provide an operation interface for a user, display the grid frequency and the predicted future grid frequency change trend, and allow manual intervention of the actuator control module (300).

2. A control device capable of rapidly responding to grid frequency changes according to claim 1, characterized in that: The prediction control module (200) comprises a prediction model unit (201) and a control strategy generation unit (202). The prediction model unit (201) is used to predict future frequency fluctuations using an ARIMA algorithm based on historical and real-time data collected by the frequency detection module (100). The control strategy generation unit (202) is used to generate a control strategy in advance according to the prediction result.

3. The control device capable of rapidly responding to grid frequency changes according to claim 2, characterized in that: The prediction control module (200) further comprises a feedback adaptive unit (203), wherein the feedback adaptive unit (203) is used to adjust the ARIMA algorithm parameters according to the execution effect of the control strategy.

4. The control device capable of rapidly responding to grid frequency changes according to claim 3, characterized in that: The execution effect of the control strategy includes the fluctuation amplitude of the grid frequency in the time period after the strategy is executed and the time required for the grid frequency to recover to the target range after the control strategy is executed.

5. The control device capable of quickly responding to grid frequency changes according to claim 1, characterized in that: The actuator includes a generator and an electric load control device.

6. The control device capable of rapidly responding to grid frequency changes according to claim 1, characterized in that: The human-computer interaction module (500) includes a display, a mouse and a keyboard.

Images