Fortifying Smart Grids: A Holistic Assessment Strategy against Cyber Attacks and Physical Threats for Intelligent Electronic Devices

Intelligent electronic devices(IEDs)are interconnected via communication networks and play pivotal roles in transmitting grid-related operational data and executing control instructions.In the context of the heightened security challenges within smart grids,IEDs pose significant risks due to inherent hardware and software vulner-abilities,as well as the openness and vulnerability of communication protocols.Smart grid security,distinct from traditional internet security,mainly relies on monitoring network security events at the platform layer,lacking an effective assessment mechanism for IEDs.Hence,we incorporate considerations for both cyber-attacks and physical faults,presenting security assessment indicators and methods specifically tailored for IEDs.Initially,we outline the security monitoring technology for IEDs,considering the necessary data sources for their security assessment.Subsequently,we classify IEDs and establish a comprehensive security monitoring index system,incorporating factors such as running states,network traffic,and abnormal behaviors.This index system contains 18 indicators in 3 categories.Additionally,we elucidate quantitative methods for various indicators and propose a hybrid security assessment method known as GRCW-hybrid,combining grey relational analysis(GRA),analytic hierarchy process(AHP),and entropy weight method(EWM).According to the proposed assessment method,the security risk level of IEDs can be graded into 6 levels,namely 0,1,2,3,4,and 5.The higher the level,the greater the security risk.Finally,we assess and simulate 15 scenarios in 3 categories,which are based on monitoring indicators and real-world situations encountered by IEDs.The results show that calculated security risk level based on the proposed assessment method are consistent with actual simulation.Thus,the reasonableness and effectiveness of the proposed index system and assessment method are validated.

Decision Making Support System(DSS)——A Synthesized and Integrated Crystallization of Systems Engineering, Artificial Intelligence and Electronic Technologies

I firmly believe that of systems engineering is the requirement-driven force for the progress ofsoftware engineering, artificial intelligence and electronic technologies. The development ofsoftware engineering, artificial intelligence and electronic technologies is the technical supportfor the progress of systems engineering. INTEGRATION can be considered as "bridging" the ex-isting technologies and the People together into a coordinated SYSTEM.

Call for Papers Journal of Electronic Science and Technology Announcing a Special Issue on Artificial Intelligence with Rough Sets

Submission Deadline： 10 December 2010Since the introduction of rough sets in 1982 by Professor Zdzislaw Pawlak, we have witnessed great advances in both theory and applications. In order to promote development of rough sets, we are preparing a special issue on ＂Artificial Intelligence with Rough Sets＂ published by JEST （International）, Journal of Electronic Science and Technology, which is a refereed international journal focusing on IT area. The aim of this special issue is to present the current state of the research in this area, oriented towards both theoretical and applications aspects of rough sets.

An intelligent remote control system for ECEI on EAST

An intelligent remote control system based on a power distribution unit（PDU） and Arduino has been designed for the electron cyclotron emission imaging（ECEI） system on Experimental Advanced Superconducting Tokamak（EAST）. This intelligent system has three major functions：ECEI system reboot, measurement region adjustment and signal amplitude optimization. The observation region of ECEI can be modified for different physics proposals by remotely tuning the optical and electronics systems. Via the remote adjustment of the attenuation level, the ECEI intermediate frequency signal amplitude can be efficiently optimized. The remote control system provides a feasible and reliable solution for the improvement of signal quality and the efficiency of the ECEI diagnostic system, which is also valuable for other diagnostic systems.

An Intelligent Design of Electron Lens System

At present, the main work of electron optical system CAD is solving equations and calculating mumerical values. However, the design perhaps needs more inference and expertise than numerical calculations because the structure of electron lens system is complicated. In this paper, a primary expert system is applied to design the electron lens system intelligently. This expert system is combined with SEU-3D program which is used to simulate the electron optical system to optimize the electron lens systems. In spite of this, the expert system which is established in this paper can also be used to diagnose the electron lens system. Although the knowledge base is small and rules are not abundant, this paper has used this system to obtain some very useful results. The initial success with this system suggests that further work need to be done whether more rules and knowledge will be added to extend the ability of expert system.

Teaching Protective Relaying Design and Application Using New Modeling and Simulation Tools

As the smart grid concepts are emphasized lately, the need to modernize the power engineering education is also well recognized. This paper presents a set of newly developed modeling, simulation and testing tools aimed at better understanding of the design concept and related applications for protective relaying and substation automation solutions for the smart grid. Since the smart grid applications require integration of data from multiple IEDs （intelligent electronic devices）, understanding properties of each IED type in detail, as well as their responses to the power system events is needed. In addition, understanding the communication requirements to perform data integration is also important. To illustrate how the mentioned smart grid issues may be taught, the following advanced teaching approaches are presented： （1） Use of modeling and simulation means to better understand interaction between the relays and power system; （2） Use of IED test facilities to better understand performance of physical devices used for protection, monitoring and control; （3） Utilization of communication network modeling tools to simulate the communication network within SAS （substation automation system）. Examples showing the use of proposed techniques for teaching the fundamentals and applications are presented. The examples demonstrate the adequacy and efficiency of the proposed techniques.

Intelligent electronic passworded locker with unique and personalized security barriers for home security

As a widely used security device,the electronic passworded locker is designed to protect personal property and space.However,once the password is leaked to an unauthorized person,its security is lost.Here,with the assistance of triboelectric nanogenerators(TENGs),we present an intelligent electronic passworded locker(IEPL)based on unique and personalized security barriers,which can accurately extract users’habits of entering passwords through integrated deep learning.The key of the IEPL adopts the single electrode mode of TENG that accurately recognizes the input behavior of a person based on machine learning,which serves as a reliable,unique,unreproducible gate,with advantages of thin thickness,diversified structure,and simple preparation method.Finally,the proposed IEPL offers a reliable solution for improving the overall security of passworded lockers and extending the application of TENG-based sensors in the smart home.

Intelligent ion gels: Design, performance, and applications

Intelligent ion gels,which possess highly tunable mechanical,electrical,and stimulus‐responsive properties,have emerged as powerful candidates in the field of artificial intelligence,telemedicine,and health monitoring.To enrich the functionality of ion gels,it is critical to explore the link between the structure and function of ion gels.In this review,we provide an overview of the synthesis path and functional derivatives of ion gels.The conformational relationships of ion gels have been discussed,such as the effect of structure on electrical conductivity as well as sensing properties.From the perspective of stimulus response,the role of ion gels in areas such as bionic haptics,neural devices,artificial muscles,and intelligent displays has also been explored.It is possible that smart ion gels will open up a new horizon in the upcoming smart era,especially after the current challenges are resolved.

Adaptive Fault Detection Based on Neural Networks and Multiple Sampling Points for Distribution Networks and Microgrids

Smart networks such as active distribution network(ADN)and microgrid(MG)play an important role in power system operation.The design and implementation of appropriate protection systems for MG and ADN must be addressed,which imposes new technical challenges.This paper presents the implementation and validation aspects of an adaptive fault detection strategy based on neural networks(NNs)and multiple sampling points for ADN and MG.The solution is implemented on an edge device.NNs are used to derive a data-driven model that uses only local measurements to detect fault states of the network without the need for communication infrastructure.Multiple sampling points are used to derive a data-driven model,which allows the generalization considering the implementation in physical systems.The adaptive fault detector model is implemented on a Jetson Nano system,which is a single-board computer(SBC)with a small graphic processing unit(GPU)intended to run machine learning loads at the edge.The proposed method is tested in a physical,real-life,low-voltage network located at Universidad del Norte,Colombia.This testing network is based on the IEEE 13-node test feeder scaled down to 220 V.The validation in a simulation environment shows the accuracy and dependability above 99.6%,while the real-time tests show the accuracy and dependability of 95.5%and 100%,respectively.Without hard-to-derive parameters,the easy-to-implement embedded model highlights the potential for real-life applications.

Operational Control of Low-voltage MTDC Systems in a Cyber-physical Environment

Based on the standardized cyber-physical modeling and communication system-IEC 61850,this paper establishes the operational control architecture of a low-voltage multi-terminal DC(LV-MTDC)system.The coordinated operational control strategies,including power electronic transformer(PET),and voltage source converter(VSC),are proposed.Then a cyberphysical model of the system based on IEC 61850 is built,according to the application requirements of operational control in the LV-MTDC system.On this basis,the implementation method of system operational control based on IEC 61850 is proposed,including the software/hardware design of the intelligent electronic device(IED),dispatching operations and uninterrupted power supply.The simulation environment is further built to verify the system operational control technology,and the test platform is used to carry out the actual tests.The research results show that the operational control technology for the LV-MTDC system proposed in this paper is feasible,which can guarantee the rapid and accurate information exchange of control commands and settings,and thus effectively realize the operational control of the LV-MTDC system under complex conditions.