Biblio

With the great development of the information communication technology, power systems have been typical Cyber Physical Systems (CPSs). Although the control function of the grid side is becoming more intelligent, Grid Cyber Physical System (GCPS) brings the risk of potential cyberattacks. In this paper, the impacts of cyber-attacks against GCPS are analyzed based on confusion matrix model firstly, then a double-layer cyber physical collaboration control strategy adjustment methods is proposed considering the status of cyber modules and physical devices infected by cyber-attacks. Finally, the feasibility and effectiveness of the proposed method are verified on the IEEE standard system.

Cyber physical system (CPS) is often deployed at safety-critical key infrastructures and fields, fault tolerance policies are extensively applied in CPS systems to improve its credibility; the same physical backup of hardware redundancy (SPB) technology is frequently used for its simple and reliable implementation. To resolve challenges faced with in simulation test of SPB-CPS, this paper dynamically determines the test resources matched with the CPS scale by using the adaptive allocation policies, establishes the hierarchical models and inter-layer message transmission mechanism. Meanwhile, the collaborative simulation time sequence push strategy and the node activity test mechanism based on the sliding window are designed in this paper to improve execution efficiency of the simulation test. In order to validate effectiveness of the method proposed in this paper, we successfully built up a fault-tolerant CPS simulation platform. Experiments showed that it can improve the SPB-CPS simulation test efficiency.

CPS is generally complex to study, analyze, and design, as an important means to ensure the correctness of design and implementation of CPS system, simulation test is difficult to fully test, verify and evaluate the components or subsystems in the CPS system due to the inconsistent development progress of the com-ponents or subsystems in the CPS system. To address this prob-lem, we designed a hybrid P2P based collaborative simulation test framework composed of full physical nodes, hardware in the loop(HIL) nodes and full digital nodes to simulate the compo-nents or subsystems in the CPS system of different development progress, based on the framework, we then proposed collabora-tive simulation control strategy comprising sliding window based clock synchronization, dynamic adaptive time advancement and multi-priority task scheduling with preemptive time threshold. Experiments showed that the hybrid collaborative simulation testing method proposed in this paper can fully test CPS more effectively.

This paper presents a control strategy for Cyber-Physical System defense developed in the framework of the European Project ATENA, that concerns Critical Infrastructure (CI) protection. The aim of the controller is to find the optimal security configuration, in terms of countermeasures to implement, in order to address the system vulnerabilities. The attack/defense problem is modeled as a multi-agent general sum game, where the aim of the defender is to prevent the most damage possible by finding an optimal trade-off between prevention actions and their costs. The problem is solved utilizing Reinforcement Learning and simulation results provide a proof of the proposed concept, showing how the defender of the protected CI is able to minimize the damage caused by his her opponents by finding the Nash equilibrium of the game in the zero-sum variant, and, in a more general scenario, by driving the attacker in the position where the damage she/he can cause to the infrastructure is lower than the cost it has to sustain to enforce her/his attack strategy.

Implementation of self-healing control system in smart grid is a persisting challenge. Self-Healing control strategy is the important guarantee to implement the smart grid. In addition, it is the support of achieving the secure operation, improving the reliability and security of distribution grid, and realizing the smart distribution grid. Although self-healing control system concept is presented in smart grid context, but the complexity of distribution network structure recommended to choose advanced control and protection system using a self-healing, this system must be able to heal any disturbance in the distribution system of smart grid to improve efficiency, resiliency, continuity, and reliability of the smart grid. This review focuses mostly on the key technology of self-healing control, gives an insight into the role of self-healing in distribution system advantages, study challenges and opportunities in the prospect of utilities. The main contribution of this paper is demonstrating proposed architecture, control strategy for self-healing control system includes fault detection, fault localization, faulted area isolation, and power restoration in the electrical distribution system.

Recent years, the issue of cyber security has become ever more prevalent in the analysis and design of electrical cyber-physical systems (ECPSs). In this paper, we present the TrueTime Network Library for modeling the framework of ECPSs and focuses on the vulnerability analysis of ECPSs under DoS attacks. Model predictive control algorithm is used to control the ECPS under disturbance or attacks. The performance of decentralized and distributed control strategies are compared on the simulation platform. It has been proved that DoS attacks happen at dada collecting sensors or control instructions actuators will influence the system differently.