Research on Low Power Strategy Optimization and Environmental Adaptability of 5G RedCap Terminal for Electric Power Application

With the advancement of smart grid technology, distribution automation systems play an increasingly important role in improving the operational efficiency and reliability of power systems. In this study, an innovative low-power strategy optimization scheme is proposed for 5G RedCap (5G Reduced Capability), a key communication module in the distribution automation system, with special attention to its adaptability under different environmental conditions. By introducing the 5G RedCap communication module, the energy consumption reduction of distribution automation terminals during data transmission is investigated. Meanwhile, a Q-table based reinforcement learning algorithm is used to intelligently optimize the transmission strategy in order to enhance the adaptability and stability of the system under the changes of environmental factors such as temperature, humidity, electromagnetic interference and transmission distance. Simulation results show that the proposed low-power optimization strategy not only effectively reduces the system energy consumption, but also ensures the high efficiency of data transmission, providing technical support for the sustainable development of the smart grid.

I. Introduction

With the rapid development of smart grid technology, the power industry is facing the challenge of how to efficiently dispatch resources [1] [2] [3]. The construction of smart grid has risen to the level of national strategy, aiming at realizing comprehensive real-time monitoring, precise and optimized scheduling, and strengthened security protection of the power grid through advanced information and communication technology, in order to ensure the sustainable management and distribution of energy. As one of the key equipments in the smart grid, distribution automation terminal equipment is responsible for data acquisition, processing and transmission, which plays a crucial role in the stable and reliable operation of the power grid [4]. With the development of technology, the design of these terminal devices focuses more and more on the low-power characteristics, and their low-power operation is crucial for improving the energy efficiency and reliability of the whole power grid, but it is still a great challenge to effectively transmit data, improve their environmental adaptability and reduce power consumption in harsh overhead lines and remote areas. Therefore, the study of low-power and highly adaptable distribution automation terminal devices is of great significance for the development of smart grid.