Electric energy quality control method under distributed energy access
By deploying high-sensitivity sensors and intelligent communication links at distributed energy access points, collecting and transmitting power parameter data in real time, and using multi-core processors and intelligent analysis software for power quality analysis and diagnosis, and generating collaborative control strategies, the grid power quality problems caused by distributed energy are solved, and the rapid recovery and dynamic balance of grid power quality are achieved.
Patent Information
- Application Number
- CN202411983581.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-03-25
AI Technical Summary
The intermittentity, volatility and the dispersion of distributed energy sources lead to grid power quality problems, including voltage and frequency fluctuations, harmonic distortion, etc., which affects the normal operation of industrial production and power equipment.
High sensitivity and stability sensors are deployed at distributed energy access points to collect power parameter data in real time, and transmit data to the power quality control center through wired and wireless hybrid communication links with automatic error correction and anti-interference capabilities. The center is equipped with multi-core processors and intelligent analysis software. It uses fast Fourier transform, wavelet transform and deep learning algorithms to analyze and diagnose power quality in real time, generate collaborative control strategies, and achieve rapid recovery and dynamic balance of power grid power quality through static reactive power compensation devices, active power filters and energy storage systems.
It realizes accurate data collection and real-time data transmission of distributed energy access points, quickly identify and diagnose abnormal power quality, generate efficient collaborative control strategies, ensure the stability and reliability of power grid power quality, reduce the probability of equipment failure and downtime, and improve energy utilization and distribution efficiency.