Edge Computing Terminal Deployment Optimization And Cloud-Edge Resource Collaborative Allocation Strategies For Power Distribution And Consumption Internet Of Things

With the comprehensive development of the energy industry,the power system will reform and transform to the direction of the Energy Internet,showing the characteristics of high proportion of renewable energy,high proportion of power electronic equipment and multi energy complementarity.A large number of equipment are widely connected,and new businesses are emerging.As a key link connecting the large power grid and users,the distribution and consumption power system covers multiple links such as power generation,transmission and distribution.It accepts a large number of power objects and provides stronger business support capacity.Based on advanced information technologies such as cloud computing and edge computing,it has spawned a new form of the Power Distribution and Consumption Internet of Things(PDC-IoT).In order to optimize the construction and enhance the business support ability of PDC-IoT,the paper studies the equipment deployment and resource allocation of PDC-IoT.Firstly,starting from the architecture of PDC-IoT,the paper analyzes the needs of the business in PDCIoT,and describes the basic forms and related technologies of PDC-IoT.Next,the paper proposes an optimized deployment strategy for the edge computing terminal of PDC-IoT,which can minimize the deployment cost while meeting the access delay requirements of the whole business.Finally,according to the differentiated attributes of the PDC-IoT business,a cloudedge resource allocation strategy based on cloud-edge collaboration mechanism is proposed to allocate resources,which can optimize the business processing delay on the whole.The main research of this paper includes:(1)The paper analyzes the changes of the objects and business requirements under the power distribution system,and summarizes the characteristics of traditional business and new business.Then,the paper construct the cloud-pipe-edge-terminal architecture of PDC-IoT,and explain the layers and constituent elements of the architecture.The paper expounds the principles of key technologies such as virtualization technology and software defined network and their adaptability to PDC-IoT,so as to provide a basis for subsequent problem modeling and analysis.(2)The paper studies the optimal deployment of edge computing terminals in the PDCIoT.The optimization limitations of intelligent terminal,edge computing terminal,SDN controller and communication network in the architecture of power distribution and consumption edge computing network are analyzed.Considering the overall service delay constraints,the optimal deployment strategy of edge computing terminals aiming at cost minimization is proposed.According to the simulation case,compared with the deployment of fixed type or fixed number of edge computing terminals,the proposed strategy can effectively reduce the equipment cost and operating cost of edge computing terminals deployment.(3)The paper studies the cloud-edge collaborative resource allocation problem of PDCIoT.Combing the processing procedure of PDC-IoT business of the cloud-edge collaboration,the paper analyzes the delay model of business,then establishes the cloud-edge resource allocation model with minimizing the overall delay of business.An improved differential evolution algorithm is proposed to solve the problem.According to the simulation case,this algorithm is used for collaborative allocation of cloud edge resources,which can reasonably decide the unloading location of business and allocate resources.Compared with other allocation strategies,it can effectively reduce the overall delay of business.