CN-122000928-A - Power quality management method, equipment and storage medium for distributed power supply

CN122000928ACN 122000928 ACN122000928 ACN 122000928ACN-122000928-A

Abstract

The embodiment of the application provides a distributed power supply-oriented power quality management method, equipment and a storage medium. The application relates to the technical field of power systems and power quality control, which comprises the steps of acquiring power monitoring data through sensors arranged at different nodes of a power grid; and generating an electric energy quality monitoring report based on the analysis results corresponding to the electric energy monitoring data of each sensor. The method is used for achieving the technical effect of improving the adaptability of the power quality management.

Inventors

LIN XIAOMEI
ZHAO JIANGSHUAI
SHI LIANG
DONG YUXI

Assignees

广东电网有限责任公司惠州供电局

Dates

Publication Date: 20260508
Application Date: 20260108

Claims (10)

1. A power quality management method for a distributed power source, the method comprising: acquiring electric energy monitoring data through sensors arranged at different nodes of a power grid, wherein the sensors arranged at different nodes have different time resolutions; respectively carrying out time domain analysis and time frequency analysis on the electric energy monitoring data to obtain an analysis result corresponding to the electric energy monitoring data; and generating an electric energy quality monitoring report based on the analysis results corresponding to the electric energy monitoring data of each sensor, wherein the electric energy quality monitoring report at least comprises total harmonic distortion, transient voltage fluctuation amplitude and frequency change data.
2. The method of claim 1, wherein performing a time domain analysis and a frequency domain analysis on the electrical energy monitoring data, respectively, to obtain an analysis result corresponding to the electrical energy monitoring data, comprises: performing Fourier transform on the electric energy monitoring data to obtain harmonic spectrum information in the electric energy monitoring data; Performing fast Fourier transform on the electric energy monitoring data to obtain harmonic distortion information in the electric energy monitoring data; performing wavelet transformation on the electric energy monitoring data to obtain harmonic information from low frequency to high frequency in the electric energy monitoring data; And forming the analysis result based on the harmonic spectrum information, the harmonic distortion information and the harmonic information from low frequency to high frequency.
3. The method of claim 1, wherein after generating a power quality monitoring report based on the analysis results corresponding to the power monitoring data of each of the sensors, the method further comprises: Modeling the power grid by adopting a state space model based on the electric energy monitoring data; determining voltage deviation between actual voltage and target voltage of nodes in the power grid and frequency deviation between actual frequency and target frequency based on a predefined sliding mode surface function and the state space model; and controlling the working state of the reactive power compensation equipment based on the voltage deviation, the frequency deviation and a sliding mode control law.
4. A method according to claim 3, characterized in that the method further comprises: And updating control parameters of the sliding mode control law based on the voltage deviation, the frequency deviation and the fuzzy controller.
5. The method of claim 4, wherein updating the control parameters of the sliding mode control law based on the voltage deviation, the frequency deviation, and a fuzzy controller comprises: inputting the voltage deviation and the frequency deviation into the fuzzy controller; the fuzzy controller outputs a fuzzy reasoning result according to a pre-constructed fuzzy rule, wherein the fuzzy reasoning result comprises reactive power adjustment suggestions corresponding to the voltage deviation and the frequency deviation; converting the fuzzy reasoning result into reactive power adjustment quantity; and updating the control parameters of the sliding mode control law according to the reactive power adjustment quantity.
6. The method of claim 5, wherein the method further comprises: Constructing time series data based on the electric energy monitoring data; inputting the time sequence data into a prediction model to obtain a prediction result, wherein the prediction model is a mathematical model for predicting the fluctuation trend of the power quality in real time, and the prediction result at least comprises a voltage fluctuation prediction trend, a frequency fluctuation prediction trend and a power fluctuation prediction trend; And according to the prediction result, adjusting the reactive power quantity of the reactive power compensation equipment and adjusting the parameters of the sliding mode surface function.
7. The method according to claim 1, wherein the method further comprises: Establishing a network flow model corresponding to the power grid, wherein nodes in the network flow model represent the distributed power supply, a load center and an energy storage unit, and edges in the network flow model represent a power transmission path; determining a power transmission path of each distributed power supply based on a linear programming objective function; determining the output power of each distributed power supply based on an integer programming objective function; And dynamically adjusting the output power of the distributed power supply according to the load demand.
8. The method of claim 7, wherein dynamically adjusting the output power of the distributed power supply according to load demand comprises: Determining the charge and discharge states of the energy storage unit according to the load demand; determining a power output scheme of the distributed power supply according to a heuristic algorithm; and dynamically adjusting the output power of the distributed power supply based on the charge and discharge states of the energy storage unit and the power output scheme of the distributed power supply.
9. An electronic device is characterized by comprising a memory and a processor; The memory stores computer-executable instructions; The processor executing computer-executable instructions stored in the memory, causing the processor to perform the method of any one of claims 1-8.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-8.

Description

Power quality management method, equipment and storage medium for distributed power supply Technical Field The present application relates to the field of power systems and power quality control technologies, and in particular, to a power quality management method, apparatus, and storage medium for a distributed power source. Background The distributed power supply is characterized by unstable output, volatility and randomness, and the characteristic brings a plurality of electric energy quality problems to the traditional centralized power system, such as voltage fluctuation, frequency instability, harmonic interference and the like. These problems can seriously affect the stable operation and safety of the power grid, and especially as the distributed power sources have higher and higher ratios in the power grid, the dynamic characteristics of the power grid become more complex, and the conventional power system has difficulty in coping with these new challenges. At present, the power quality management method comprises the steps of detecting and regulating the power quality, wherein the detection is mostly based on a single time scale, detecting the condition of long-time voltage instability or frequency drift, and regulating the distributed power supply by utilizing a linear control model. However, in the prior art, various transient events exist in the power grid dynamic state, so when the power grid dynamic state faces to frequent voltage fluctuation and frequency disturbance caused by a distributed power supply, the power quality management cannot quickly adjust the system state, and the adaptability to complex nonlinear dynamic behaviors is lacking, so the technical problem of poor adaptability in the power quality management of the distributed power supply in the prior art is solved. Disclosure of Invention The embodiment of the application provides a distributed power supply-oriented power quality management method, equipment and a storage medium, which are used for achieving the technical effect of improving the adaptability of power quality management. In a first aspect, an embodiment of the present application provides a power quality management method for a distributed power supply, including: Acquiring electric energy monitoring data through sensors arranged at different nodes of a power grid, wherein the sensors arranged at different nodes have different time resolutions; Respectively carrying out time domain analysis and time frequency analysis on the electric energy monitoring data to obtain an analysis result corresponding to the electric energy monitoring data; Based on the analysis results corresponding to the electric energy monitoring data of each sensor, an electric energy quality monitoring report is generated, wherein the electric energy quality monitoring report at least comprises harmonic distortion total amount, transient voltage fluctuation amplitude and frequency change data. In one possible implementation manner, performing time domain analysis and frequency domain analysis on the electric energy monitoring data respectively to obtain an analysis result corresponding to the electric energy monitoring data, including: performing Fourier transform on the electric energy monitoring data to obtain harmonic spectrum information in the electric energy monitoring data; Performing fast Fourier transform on the electric energy monitoring data to obtain harmonic distortion information in the electric energy monitoring data; performing wavelet transformation on the electric energy monitoring data to obtain harmonic information from low frequency to high frequency in the electric energy monitoring data; The analysis result is formed based on the harmonic spectrum information, the harmonic distortion information, and the harmonic information from low frequency to high frequency. In one possible implementation, after generating the power quality monitoring report based on the analysis result corresponding to the power monitoring data of each sensor, the method further includes: Modeling the power grid by adopting a state space model based on the electric energy monitoring data; Determining voltage deviation between actual voltage and target voltage of nodes in a power grid and frequency deviation between actual frequency and target frequency based on a predefined sliding mode surface function and a state space model; and controlling the working state of the reactive power compensation equipment based on the voltage deviation, the frequency deviation and the slip mode control law. In one possible embodiment, the method further comprises: And updating control parameters of the sliding mode control law based on the voltage deviation, the frequency deviation and the fuzzy controller. In one possible implementation, updating control parameters of the sliding mode control law based on the voltage deviation, the frequency deviation, and the fuzzy controller includes: inputting the voltage deviati