Communication Network Optimization And Recovery Method Of Large-scale Failure In Cyber-physical Power System

With the development of smart grid,the traditional power system has been unable to solve the deteriorating energy situation and increasingly prominent environmental problems.The intelligence of the power system has become the focus of scholars.The Cyber-physical System(CPS)provides a comprehensive interdisciplinary framework for designing the power system.CPS is a large-scale complex system that integrates sensing,processing,intelligence and control.Its key is the close integration of information systems and physical systems.As a special example of CPS,the smart grid can be composed of a Wide Area Protection System(WAPS).The system measures synchronization metrics such as voltage,current,phase and frequency to ensure the power system safety and stability.Unlike other communication networks,in the Cyber Physical Power System,communication network has a large amount of information and calculation load.And the communication infrastructure plays a vital role.when its communication system fails,it may cause serious damage to the power system.Therefore,the economic,reliability and delay of the Cyber Physical Power System’s communication network is the key to realize the safe and reliable of the power system.The WAPS is take as the main research example of the Cyber Physical Power System in this paper.The network to meet the real-time and reliability of WAPS has been designed.Meanwhile,the impact of large-scale failure on power communication networks has been simulated,and the optimal communication network recovery strategies has been designed to achieve rapid and efficient recovery of protection systems after large-scale failure.The main research work are as follows:Firstly,research on the link placement algorithm of the WAPS communication network.With the development of WAPS,the requirements for real-time and economical communication networks are becoming higher and higher.Therefore,design of the communication network is becoming more important.Aiming at the problem of communication link placement in communication network,a model with the goal of minimum construction cost of communication network and real-time and bandwidth limitation is established.Based on clustering algorithm and genetic algorithm,the optimal communication network construction algorithm is designed.The final experiment shows that the model can not only meet the real-time constraints of communication transmission,but also reduce the construction cost of the communication network,and has applicability to each power system.Secondly,network recovery for large-scale failure in smart grid by reinforcement learning.A large-scale failure recovery model with the goal of maximizing WAPS communication services is established.The algorithm is designed based on the algorithm of reinforcement learning.The experimental results show that the proposed algorithm can achieve fast and more recovery of wide-area protection services under the constraints of limited resources.