CN-121983982-A - Control device and control method of energy supply system

CN121983982ACN 121983982 ACN121983982 ACN 121983982ACN-121983982-A

Abstract

The invention relates to a control device and a control method of an energy supply system. The control device comprises a power grid voltage prediction module, an energy storage system matching module and a control execution module, wherein the power grid voltage prediction module is configured to receive real-time operation parameters and historical parameters of a power grid and output a predicted power grid voltage fluctuation trend in a first time period in the future, the energy storage system matching module is configured to receive the predicted voltage fluctuation trend and the operation parameters of an energy storage system and output a control strategy for coping with the voltage fluctuation, and the control execution module is configured to receive the control strategy and output a control instruction, wherein the control instruction is used for controlling at least one of grid connection or disconnection of an energy supply system and the power grid, charging and discharging power of the energy storage system and an operation mode or power of a feedback type load before the predicted power grid voltage fluctuation occurs. The control device and the control method provided by the invention can predict the voltage fluctuation trend of the power grid, avoid the cooperative risk of the power grid and the energy supply system caused by the voltage fluctuation of the power grid, and realize the efficient recovery and utilization of energy.

Inventors

ZHANG XINGYU
CHEN WEI

Assignees

合肥华思系统股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260126

Claims (20)

1. A control device of an energy supply system, the energy supply system is connected to a power grid, and the control device comprises an energy storage system and a feedback type load, and is characterized in that the control device comprises: the power grid voltage prediction module is configured to receive real-time operation parameters and historical parameters of the power grid, predict and output power grid voltage fluctuation trend in a first future time period; the energy storage system matching module is configured to receive the power grid voltage fluctuation trend and the operation parameters of the energy storage system and output a regulation strategy for coping with the power grid voltage fluctuation; The control execution module is configured to receive the regulation strategy and output a control instruction, and the control instruction is used for controlling at least one of grid connection or grid disconnection of the energy supply system and the power grid, charging and discharging power of the energy storage system and an operation mode or power of the feedback type load before the predicted power grid voltage fluctuation occurs.
2. The control device of claim 1, wherein the energy supply system further comprises an emergency system, and wherein the control instructions are further configured to control a start-stop of the emergency system.
3. The control device according to claim 1 or 2, wherein the grid voltage prediction module is configured to: inputting real-time voltage, current, frequency, load power data, start-stop plan information of a load, historical waveforms and environmental factors of a power grid, and outputting a first voltage prediction curve; receiving actual voltage data of the power grid, correcting a first prediction model based on which the first voltage prediction curve is generated based on errors between the actual voltage data and the first voltage prediction curve, and generating a second prediction model; and generating the power grid voltage fluctuation trend based on the second prediction model.
4. A control device according to claim 3, wherein the first predictive model satisfies the following predictive equation: ; The first voltage prediction curve satisfies the following prediction equation: ; Wherein Δu pred is the predicted voltage fluctuation amount, k1, k2, k3...kn is the characteristic weight coefficient, Δp is the real-time load power variation, Δi is the real-time current variation, I imp is the starting impulse current, R is the line equivalent impedance, cos2 pi (f-f 0) is the power factor, f is the frequency, f0 is the fundamental frequency, fac n is other influencing factors that can be linearly fitted, b is the deviation correction term, t is the time dimension, U pred (t) is the predicted value of the grid voltage at different times, U0 is the grid fundamental voltage, and Δu pred (t) is the predicted voltage fluctuation amount at different times.
5. A control device according to claim 3, wherein the correction comprises at least two methods: Linear regression correction, kalman filtering noise reduction correction, adaptive filtering dynamic adjustment and L1 regularized singular value decomposition optimization feature weights.
6. The control device according to claim 5, wherein the correction is a periodically performed correction, and comprising adjusting an algorithm parameter in the correction process based on a comparison result of a prediction error of a continuous plurality of time windows with a preset threshold.
7. The control device of claim 1, wherein the energy storage system matching module is configured to: and receiving a power grid voltage prediction trend from the power grid voltage prediction module, an execution result of the control execution module and an alarm signal of the energy storage system, and formulating a regulation strategy, wherein the alarm signal of the energy storage system comprises an early warning signal based on risks of the power grid and the energy supply system.
8. The control device of claim 7, wherein the energy storage system matching module is configured to calculate a predicted voltage fluctuation amplitude over a first time period in the future based on the grid voltage fluctuation trend; Determining an early warning level based on the predicted voltage fluctuation amplitude; Based on the early warning grades, matching a preset regulation strategy, wherein different early warning grades correspond to different power adjustment amplitudes of the energy storage system and/or operation modes of the feedback type load; Wherein the early warning grades comprise a first early warning grade, a second early warning grade and a third early warning grade, the power adjustment amplitude includes a first adjustment amplitude and a second adjustment amplitude that is greater than the first adjustment amplitude; the energy storage system matching module is configured to: when the voltage fluctuation amplitude is smaller than or equal to a primary voltage fluctuation threshold value, determining a first early warning level, executing a first regulation strategy, and maintaining or adjusting the charge and discharge power of the energy storage system by smaller than the first adjustment amplitude; When the voltage fluctuation amplitude is larger than the primary voltage fluctuation threshold and smaller than or equal to the secondary voltage fluctuation threshold, determining a second early warning level, executing a second regulation strategy, and controlling the energy storage system to adjust the charge and discharge power of the energy storage system by a first adjustment amplitude before predicted voltage fluctuation occurs; and when the voltage fluctuation amplitude is larger than the second-level voltage fluctuation threshold, determining a third early warning level, executing a third regulation strategy, controlling the energy storage system to adjust the charge and discharge power of the energy storage system by a second power adjustment amplitude before the predicted voltage fluctuation occurs, and controlling the feedback type load to switch to a low-power consumption operation mode.
9. The control device of claim 7, wherein the energy storage system risk pre-warning signal includes an energy storage risk pre-warning of an impending disconnection risk of the energy storage system, the energy storage system matching module configured to: And when the total voltage of the energy storage system is lower than a first voltage threshold value or higher than a second voltage threshold value or the change rate of loop current of the energy storage system exceeds a first current change rate threshold value, generating a regulation strategy to control a power grid to supply power to the feedback type load, and simultaneously controlling the feedback type load to switch to a low-power consumption operation mode.
10. The control device of claim 7, wherein the energy supply system further comprises an emergency system, the control instructions further for controlling a start-stop of the emergency system; the early warning signal of the power grid risk comprises power grid power failure early warning, and the energy storage system matching module is configured to: When the voltage of the power grid seriously exceeds the limit, the frequency of the power grid abnormally fluctuates, the three-phase unbalance fault of the power grid or the harmonic pollution of the power grid exceeds the standard, a regulation strategy is generated to control the energy supply system to be disconnected from the power grid, control the feedback type load to be switched to a low-power consumption operation mode, control the emergency system to be started and supply power to the feedback type load.
11. The control device according to claim 1 or 2, wherein the control execution module is further configured to receive a regulation strategy from the energy storage system matching module and response effects of the energy supply system and the power grid, output control signals for driving actions of the energy supply system and the power grid, and feed back execution results to the energy storage system matching module.
12. The control device of claim 2, wherein the control commands include grid-on or off-grid commands, energy storage system charge-discharge mode switching commands, feedback-type load start-stop commands, and emergency system start-stop commands.
13. The control device of claim 1, wherein the feedback load comprises a hoist, an elevator, a mechanical arm, or a crane.
14. A control method of an energy supply system, the energy supply system being connected to a power grid and comprising an energy storage system and a feedback load, the method comprising the steps of: acquiring real-time operation parameters of the power grid; predicting a voltage fluctuation trend of the power grid in a first future period of time based on the real-time operation parameters and the historical parameters of the power grid; acquiring operation parameters of the energy storage system; generating a regulation strategy for coping with the power grid voltage fluctuation based on the predicted voltage fluctuation trend and the operation parameters of the energy storage system; And generating a control instruction according to the regulation strategy, wherein the control instruction is used for controlling at least one of grid connection or grid disconnection of the energy supply system and the power grid, charge and discharge power of the energy storage system and an operation mode or power of the feedback type load before the predicted power grid voltage fluctuation occurs.
15. The method according to claim 14, characterized in that said step of predicting the voltage fluctuation trend of the electric network over a first time period in the future, in particular comprises: Generating a first voltage prediction curve of the power grid in a first future time period based on the real-time operation parameters of the power grid and the start-stop plan information of the load; Acquiring actual voltage data of the power grid; correcting a first prediction model based on which the first voltage prediction curve is generated based on the error between the actual voltage data and the first voltage prediction curve, and generating a second prediction model; and generating the power grid voltage fluctuation trend based on the second prediction model.
16. The method of claim 15, wherein the first predictive model satisfies the predictive equation: ; The first voltage prediction curve satisfies the following prediction equation: ; Wherein Δu pred is the predicted voltage fluctuation amount, k1, k2, k3...kn is the characteristic weight coefficient, Δp is the real-time load power variation, Δi is the real-time current variation, I imp is the starting impulse current, R is the line equivalent impedance, cos2 pi (f-f 0) is the power factor, f is the frequency, f0 is the fundamental frequency, fac n is other influencing factors that can be linearly fitted, b is the deviation correction term, t is the time dimension, U pred (t) is the predicted value of the grid voltage at different times, U0 is the grid fundamental voltage, and Δu pred (t) is the predicted voltage fluctuation amount at different times.
17. The method of claim 15, further comprising collaborative correction of the first predictive model using at least two of: Linear regression correction, kalman filtering noise reduction correction, adaptive filtering dynamic adjustment and L1 regularized singular value decomposition optimization feature weights.
18. The method of claim 17, wherein the collaborative correction is performed periodically and includes adjusting an algorithm parameter during the correction based on a comparison of a prediction error of a consecutive plurality of time windows to a preset threshold.
19. The method of claim 14, wherein the step of generating a regulatory strategy comprises: Calculating a predicted voltage fluctuation amplitude in a first time period in the future based on the power grid voltage fluctuation trend; Determining an early warning level based on the predicted voltage fluctuation amplitude; And matching preset regulation strategies based on the early warning grades, wherein different early warning grades correspond to different power adjustment amplitudes of the energy storage system and/or operation modes of the feedback type load.
20. The method of claim 19, wherein the alert level comprises a first alert level, a second alert level, and a third alert level, the power adjustment amplitude comprises a first adjustment amplitude and a second adjustment amplitude that is greater than the first adjustment amplitude; when the voltage fluctuation amplitude is smaller than or equal to a primary voltage fluctuation threshold value, determining a first early warning level, executing a first regulation strategy, and maintaining or adjusting the charge and discharge power of the battery with smaller than the first adjustment amplitude; When the voltage fluctuation amplitude is larger than the primary voltage fluctuation threshold and smaller than or equal to the secondary voltage fluctuation threshold, determining a second early warning level, executing a second regulation strategy, and controlling the energy storage system to adjust the charge and discharge power of the energy storage system by a first adjustment amplitude before predicted voltage fluctuation occurs; and when the voltage fluctuation amplitude is larger than the second-level voltage fluctuation threshold, determining a third early warning level, executing a third regulation strategy, controlling the energy storage system to adjust the charge and discharge power of the energy storage system by a second power adjustment amplitude before the predicted voltage fluctuation occurs, and controlling the feedback type load to switch to a low-power consumption operation mode.

Description

Control device and control method of energy supply system Technical Field The invention relates to the technical field of electric energy control, in particular to a control device and a control method of an energy supply system. Background With the improvement of the industrial automation degree, high-power equipment (such as large-scale machine tools and air compressors) connected into a factory power grid is increased increasingly. The equipment can generate huge impact current at the moment of starting and stopping, so that the voltage of the power grid is suddenly lowered or risen. However, as an important flexible regulation resource, the stability of the input voltage of the energy storage system (such as lithium battery, super capacitor, etc.), such as the internal Battery Management System (BMS) and the Power Conversion System (PCS), is very strict. When the voltage of the power grid suddenly drops, the energy storage system can interrupt charging and even trigger protection due to the fact that the input voltage is lower than a working threshold value, and when the voltage suddenly rises, the energy storage system can be protected to stop due to overvoltage. The frequent off-grid of the energy storage system caused by the fluctuation of the power grid not only can not stabilize the function of the power grid, but also can cause chain reaction, on one hand, feedback type loads (such as elevators and elevators) which rely on the energy storage system for energy recovery or auxiliary power supply can be forced to trigger protective shutdown to influence normal operation and safety due to sudden energy interruption, and on the other hand, the voltage fluctuation can be further deteriorated to form vicious circulation due to the fact that the power grid loses the instant support of energy storage. A common solution to the above problems in the prior art is a passive response protection strategy. For example, after the voltage fluctuation of the power grid occurs, a series of protection actions such as loop opening are triggered, and the relay can not be closed until the voltage of the power grid is restored to be stable, so that the energy storage and the lifter are re-connected into the loop of the system to participate in charging and discharging. Although the passive response protection strategy can realize basic protection and prevent the energy storage system and the lifter from being damaged due to continuous working under abnormal voltage, the passive response protection strategy with the prior failure and the later action still has obvious disadvantages that the response is always delayed from voltage fluctuation and cannot prevent impact, the production process is directly interrupted and the energy recovery is stopped due to protective power failure, and the protection actions of all equipment are isolated, lack of cooperation and easily cause the risk of interlocking shutdown. Therefore, a basic solution is needed in the prior art, so as to solve the barrier in the prior art, and meanwhile, the fluctuation trend of the power grid voltage can be actively predicted, and the energy storage system, the feedback type load and even the emergency power supply can be cooperatively regulated and controlled before the trend evolves into an actual fault, so that the continuous and safe operation of the system is ensured, and meanwhile, the efficient management and utilization of energy are realized. Disclosure of Invention Accordingly, it is an object of the present invention to solve or ameliorate the above problems with the prior art. The first aspect of the present application provides a control device for an energy supply system, where the energy supply system is connected to a power grid, and the control device includes an energy storage system and a feedback load, and the control device includes: The power grid voltage prediction module is configured to receive real-time operation parameters and historical parameters of a power grid, and predict and output power grid voltage fluctuation trend in a first future time period; the energy storage system matching module is configured to receive the predicted voltage fluctuation trend and the operation parameters of the energy storage system and output a regulation strategy for coping with the voltage fluctuation of the power grid; The control execution module is configured to receive the regulation strategy and output a control instruction, wherein the control instruction is used for controlling at least one of grid connection or grid disconnection of the energy supply system and the power grid, charge and discharge power of the energy storage system and operation mode or power of the feedback type load before the predicted power grid voltage fluctuation occurs. Preferably, the energy supply system further comprises an emergency system, and the control instruction is further used for controlling starting and stopping of the emergency system. Preferably