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Top1. Introduction
PMS is an important part of the local basic economy. With the rapid development of the market environment, it has become normal for power enterprises to use information management automation to solve the contradiction between the shortage and waste of information resources. Power equipment information management is the management of information generated from all activities throughout the entire lifecycle of power equipment. It is the management of the operational information of power equipment that is monitored online. We can divide the management of monitoring information into several modes, such as fault management, operation management, and planned maintenance. Blockchain can improve the reliability of electrical system data processing. In other words, the establishment and existence of modern information management systems to meet the needs of PMS has become an inevitable trend to improve the market competitiveness of energy enterprises and information work. Therefore, it is very important to study the methods and strategies of PMS information automation.
PMS can improve the operation ability of power information management. Ramya (2019) described data collection with reference to grid intrusion attacks, and tested and evaluated different machine learning strategies. Yang, Fang, Feng, and Li (2019) developed a novel energy management system method to achieve a flexible time frame energy management system schedule and an energy management system based on optimal power flow in a single time interval; thereby, promoting the most advanced microgrid technology. Rathor Sumit (2020) reviewed the framework, objectives, architecture, benefits, and challenges of the energy management system, and made a comprehensive analysis of different stakeholders and participants involved. Li Zhiyi (2019) proposed a set of interoperable blockchains embedded with self-executing smart contracts to manage the energy and capital flows between trading microgrids in a trusted way. Sitharthan (2019) has developed a new automatic control strategy to manage the power supply from the wind power generation system to the load, aiming to develop a pitch angle control based on fuzzy logic and a static transfer switch. Smys (2020) put forward the idea of power management in intelligent street lighting and effectively controlled power consumption by comparing light intensity and weather conditions. Cimen Halil (2020) introduced an efficient energy management system for residential microgrid. Firstly, using the method based on multitask deep neural network to analyze smart meter data and extract consumers' household appliance level information. The above studies all describe the role of power information management, but there are still some deficiencies in PMS operation.