Research And Application Of Power Line Carrier Communication Technology For Comprehensive Energy Service

As the country actively promotes energy reforms and accelerates the development of integrated energy services,more and more distributed energy and energy storage equipment play an important role.As a result,comprehensive energy equipment management and optimal dispatching need to reach higher standards.With the access of a large number of terminal devices,whether power line carrier communication can meet the communication needs of integrated energy service scenarios is of vital importance.First of all,this article analyzes the typical integrated energy service scenarios to study the adaptability of power line carrier communication to integrated energy services.Then,it designed a comprehensive energy management and control communication network architecture that integrates power line carrier communication,and participated in the construction of part of the comprehensive energy management and control platform.Secondly,aiming at the complex environment of smart buildings,focus on the research of power line carrier channel resource allocation optimization algorithm.This paper optimizes and improves the particle swarm algorithm based on the multi-device resource allocation model and the rate-based adaptive criterion.Based on this,a rate maximization resource allocation algorithm based on the improved particle swarm algorithm is designed,and the superiority of the improved particle swarm algorithm can be verified from the simulation results.Finally,in order to strengthen the power line carrier communication terminal information collection capability and complete the construction of a comprehensive energy management and control platform,this article mainly conducts the development of power line carrier communication equipment.The terminal equipment developed has been applied in the Yangzhong Intelligent Electric Research Center of North China Electric Power University,and the data collection and transmission functions of electricity consumption are efficiently completed in the comprehensive energy management and control platform.