Research On Situation Awareness And Optimal Operation Of Active Distribution Networks Based On 5G Networks

Based on smart metering and real-time control technology,an active distribution network(ADN)can monitor the operation status of the distribution network in real time,actively utilize its internal adjustable resources,and apply load control methods such as demand response(DR).Its purpose is to solve grid compatibility problems and largescale intermittent renewable energy applications.At the same time,the development of wireless communication technology is in the ascendant.The 5th-generation mobile communication technology(5G),with its characteristics of low delay,high reliability,and wide connection,greatly supports the timely and extensive information exchange in ADNs.However,with the widespread access of large-scale distributed controllable resources,the situation awareness(SA)and optimal operation of ADNs have become more complex,and higher requirements have also been placed on the allocation of communication resources in 5G networks.In view of the above problems,this dissertation studies the optimization method of 5G communication resource allocation for SA and optimization operation requirements in ADNs.The specific work is as follows:1.The theoretical basis of 5G networks and ADNs are introduced,including the basic concepts,development status,and related technologies,etc.,and the related requirements and challenges of 5G-based SA and DR optimization of ADNs are analyzed.2.Aiming at the SA requirement of ADNs,an energy-efficient wireless resource allocation method employing 5G uplink-based machine-type communications(MTC)is studied.A 5G-based uplink communication framework for ADNs is proposed.The framework aims at optimal energy efficiency,and comprehensively considers resource block(RB)allocation,power control,modulation and coding mode selection,and stochastic constraints for emergency data,which can reasonably reserve RBs for emergency data.Secondly,the sample average approximation theory is used to transform the stochastic constraints,and the model is reconstructed into a mixed-integer linear programming(MILP)problem.Finally,an iterative algorithm based on Lagrange dual algorithm is proposed to search for the global optimal allocation scheme.Detailed simulations and experiments show that the proposed algorithm can provide the best energy efficiency in the transmission process and reduce the data packet loss rate.Even if the events occur randomly,the optimal resource allocation of all sampling data can be realized.3.Aiming at the optimal operation requirements of ADNs,a communication resource allocation method based on 5G downlink communication to realize the participation of base stations(BSs)in DR is studied.A prediction-optimization-regulation rolling framework is proposed for 5G BSs to participate in the DR of ADNs.The framework aims to minimize system power consumption fluctuations,and comprehensively considers ultra-short-term user power load forecasting,5G communication resource allocation optimization,user service quality requirements,and downlink power consumption control of BSs.Secondly,by introducing auxiliary variables,the framework is modeled as an MILP problem,and a combined KKT condition and branch and bound method are used to construct an optimal resource allocation algorithm for rolling search to solve the model.Detailed simulation results show that the proposed algorithm can effectively reduce the peak-valley difference of the system,reduce the fluctuation of the system power consumption curve,and realize the DR of information and energy mixing while ensuring the quality of user service.