Research On Distributed Control Strategy Of Smart Microgrid Under Network Attack

Smart microgrid is becoming more and more popular due to its flexible and efficient application of distributed power,but due to the information transmission between units is vulnerable to malicious attacks and the attack methods are becoming more and more intelligent and diversified,in addition,the increasing attack capability has brought more security incidents to the microgrid space.Therefore,in order to protect the intelligent microgrid system from the threat and damage of cyber-attack,it becomes especially important to study the strategy of distributed control of intelligent micro-grid.In this paper,we address the problem of distributed control of intelligent micro-networks in the presence of cyber-attacks,model the system in the presence of attacks and design corresponding control strategies,and the main work is carried out as follows:1.A distributed cooperative adaptive resilience control method is used for Denial of Service(Do S)attacks that cause performance degradation due to loss of information transmission between units of intelligent micro-network systems.Firstly,based on the state space model of the distributed network,the dynamic equation of the existence of the attack is obtained.Secondly,according to sagging control and graph theory knowledge,the cooperative consistency state feedback controller is designed,so that it can synchronize with the given reference value to a certain extent.In addition,in order to achieve better control results the adaptive elastic protocol is designed,so that it can be uniformly and eventually bounded,so that the global voltage regulation can be realized,and the appropriate Laypunov function is constructed to obtain the adequacy condition when the system reaches stability.The rationality of the adopted control method is comfired by emulation and contrasted with the familiar fuzzy PID control.2.For the problems caused by the randomness of renewable energy generation and the vulnerability of stealth attack,the elastic_∞method is used.Firstly,when adding uncertainties such as wind energy and photovoltaic(PV),the least squares rational function approximation method is used to determine the system uncertainty bound;secondly,considering the hidden attack models,such as False Data Injection(FDI)attack model,the elastic_∞controller is adopted and comfired by linear matrix(LMI)inequality,in addition,its robustness is compared by various performance metrics.3.A distributed observer-based cooperative controller is used for potential network spoofing attacks in micro-networks where the join delay cannot be kept synchronized.When performing consistency analysis based on consensus algorithms with limited time delays,a distributed state observer is designed to better observe the changes between the system and the system without any interference in the presence of limited time delays and FDI attacks.The robustness of the adopted strategy is comfired by numerical emulation and experimental verification under the finite-delay and FDI attacks.4.A distributed cooperative controller is used for the joint attack of Do S and FDI.Based on the knowledge of graph theory related to information transmission between communications and the principle of distributed secondary control,firstly,the system in the presence of both attack elements is modeled according to the tidal equation of the micro network,and secondly,the vulnerability of the existence of the joint attack is analyzed and the conditions for the system to reach stability in the presence of the attack are given because the network attack is extremely harmful to the system.The feasibility of the adopted control method is verified by simulation.Finally,after an in-depth analysis and comprehensive consideration of the work done,some useful suggestions and prospects for future research work are further proposed.