Intelligent Monitoring and Multi-parameter Identification of Power Distribution Network State

Intelligent monitoring and multi-parameter identification of power distribution network state is an important technology for the construction of new power system. The objective of this research is to develop algorithms and techniques for monitoring the state of power distribution networks, identifying any abnormal conditions, and taking appropriate actions to ensure the reliability and stability of the network. Intelligent monitoring involves the use of advanced sensors, communication networks, and data analytics tools to continuously monitor the key parameters of the power distribution network. These monitoring parameters include voltage, current, power flow, partial discharge, mechanical vibration, overheating temperature and other electrical quantities. The edge computing technique in electrical power equipment condition monitoring will be real-time, intelligent, but also has good data processing ability for intelligent monitoring of power distribution network. The data from these sensors is collected and analyzed by edge computing in real-time to detect any abnormalities or deviations from the normal operating conditions. Multi-parameter identification involves the use of advanced data analytics tools to identify the relationships between different parameters of the power distribution network. This enables the identification of any inter-dependencies or correlations between different parameters, which can be used to identify the root cause of any abnormalities in the network. The use of intelligent monitoring and multi-parameter identification can help power distribution companies to improve the reliability and stability of their networks, reduce downtime, and optimize their operations. It can also help to improve the quality of service provided to customers by ensuring that power is supplied reliably and consistently in new power system.