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Technologies Behind the smart grid and Internet of Things: A System Survey

Computers, Materials & Continua 2023年第6期75卷 5049-5072页

作者： Kuldeep Sharma Arun Malik Isha Batra A.S.M.Sanwar Hosen Md Abdul Latif Sarker Dong Seog Han Department of Computer Science and Engineering Lovely Professional UniversityPunjabIndia Department of Artificial Intelligence and Big Data Woosong UniversityDaejeon34606Korea Center for ICT&Automotive Convergence Kyungpook National UniversityDaegu41566Korea School of Electronics Engineering Kyungpook National UniversityDaegu41566Korea

Electric smart grids enable a bidirectional flow of electricity and information among power system *** proper monitoring and con-trolling of power quality,reliability,scalability and flexibility,there is a need for an environmentally friendly system that is transparent,sustainable,cost-saving,energy-efficient,agile and *** paper provides an overview of the emerging technologies behind smart grids and the internet of *** dependent variables are identified by analyzing the electricity consumption patterns for optimal utilization and planning preventive maintenance of their legacy assets like power distribution transformers with real-time parameters to ensure an uninterrupted and reliable power *** addition,the paper sorts out challenges in the traditional or legacy electricity grid,power generation,transmission,distribution,and revenue management challenges such as reduc-ing aggregate technical and commercial loss by reforming the existing manual or semi-automatic techniques to fully smart or automatic *** article represents a concise review of research works in creating components of the smart grid like smart metering infrastructure for postpaid as well as in prepaid mode,internal structure comparison of advanced metering methods in present scenarios,and communication systems.

关键词： Electricity consumption bidirectional advanced meter infrastructure energy internet of things smart grid smart meter

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Water Wave Optimization with Deep Learning Driven smart grid Stability Prediction

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Computers, Materials & Continua 2022年第12期73卷 6019-6035页

作者： Anwer Mustafa Hilal Aisha Hassan Abdalla Hashim Heba G.Mohamed Mohammad Alamgeer Mohamed K.Nour Anas Abdelrahman Abdelwahed Motwakel Department of Electrical and Computer Engineering International Islamic University MalaysiaKuala Lumpur53100Malaysia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science and Bioinformatics Singhania UniversityPacheri BariJhnujhunuRajasthanIndia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Mechanical Engineering Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt

smart grid(SG)technologies enable the acquisition of huge volumes of high dimension and multi-class data related to electric power grid operations through the integration of advanced metering infrastructures,control systems,and communication *** SGs,user demand data is gathered and examined over the present supply criteria whereas the expenses are then informed to the clients so that they can decide about electricity *** the entire procedure is valued on the basis of time,it is essential to perform adaptive estimation of the SG’s *** advancements inMachine Learning(ML)andDeep Learning(DL)models enable the designing of effective stability prediction models in *** this background,the current study introduces a novel Water Wave Optimization with Optimal Deep Learning Driven smart grid Stability Prediction(WWOODL-SGSP)*** aim of the presented WWOODL-SGSP model is to predict the stability level of SGs in a proficient *** attain this,the proposed WWOODL-SGSP model initially applies normalization process to scale the data to a uniform ***,WWO algorithm is applied to choose an optimal subset of features from the pre-processed ***,Deep Belief Network(DBN)model is followed to predict the stability level of ***,Slime Mold Algorithm(SMA)is exploited to fine tune the hyperparameters involved in DBN *** order to validate the enhanced performance of the proposedWWOODL-SGSP model,a wide range of experimental analyses was *** simulation results confirmthe enhanced predictive results of WWOODL-SGSP model over other recent approaches.

关键词： smart grid stability prediction deep learning energy systems machine learning metaheursitics

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Double-Blockchain Assisted Secure and Anonymous Data Aggregation for Fog-Enabled smart grid

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Engineering 2022年第1期8卷 159-169页

作者： Siguang Chen Li Yang Chuanxin Zhao Vijayakumar Varadarajan Kun Wang Jiangsu Key Lab of Broadband Wireless Communication and Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu Engineering Research Center of Communication and Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Anhui Provincial Key Laboratory of Network and Information Security Anhui Normal UniversityWuhu 241000China School of Computer Science and Engineering Vellore Institute of TechnologyChennai 600127India Department of Electrical and Computer Engineering University of CaliforniaLos AngelesCA 90095USA

As a future energy system,the smart grid is designed to improve the efficiency of traditional power systems while providing more stable and reliable ***,this efficient and reliable service relies on collecting and analyzing users’electricity consumption data frequently,which induces various security and privacy *** address these challenges,we propose a double-blockchain assisted secure and anonymous data aggregation scheme for fog-enabled smart grid named ***,we design a three-tier architecture-based data aggregation framework by integrating fog computing and the blockchain,which provides strong support for achieving efficient and secure data collection in smart ***,we develop a secure and anonymous data aggregation mechanism with low computational overhead by jointly leveraging the Paillier encryption,batch aggregation signature and anonymous *** particular,the system achieves fine-grained data aggregation and provides effective support for power dispatching and price adjustment by the designed double-blockchain and two-level data ***,the superiority of the proposed scheme is illustrated by a series of security and computation cost analyses.

关键词： Blockchain Fog computing Homomorphic encryption smart grid Anonymity

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Intelligent smart grid Stability Predictive Model for Cyber-Physical Energy Systems

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Computer Systems Science & Engineering 2023年第2期44卷 1219-1231页

作者： Ashit Kumar Dutta Manal Al Faraj Yasser Albagory Mohammad zeid M Alzamil Abdul Rahaman Wahab Sait Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Kingdom of Saudi Arabia Department of Archives and Communication King Faisal UniversityAl AhsaHofuf31982Kingdom of Saudi Arabia

A cyber physical energy system(CPES)involves a combination of pro-cessing,network,and physical *** smart grid plays a vital role in the CPES model where information technology(IT)can be related to the physical *** the same time,the machine learning(ML)modelsﬁnd useful for the smart grids integrated into the CPES for effective decision ***,the smart grids using ML and deep learning(DL)models are anticipated to lessen the requirement of placing many power plants for electricity *** this aspect,this study designs optimal multi-head attention based bidirectional long short term memory(OMHA-MBLSTM)technique for smart grid stability predic-tion in *** proposed OMHA-MBLSTM technique involves three subpro-cesses such as pre-processing,prediction,and hyperparameter *** OMHA-MBLSTM technique employs min-max normalization as a pre-proces-sing ***,the MBLSTM model is applied for the prediction of stability level of the smart grids in *** the same time,the moth swarm algorithm(MHA)is utilized for optimally modifying the hyperparameters involved in the MBLSTM *** ensure the enhanced outcomes of the OMHA-MBLSTM technique,a series of simulations were carried out and the results are inspected under several *** experimental results pointed out the better outcomes of the OMHA-MBLSTM technique over the recent models.

关键词： Stability prediction smart grid cyber physical energy systems deep learning data analytics moth swarm algorithm

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Physics-Constrained Robustness Enhancement for Tree Ensembles Applied in smart grid

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Computers, Materials & Continua 2024年第8期80卷 3001-3019页

作者： Zhibo Yang Xiaohan Huang Bingdong Wang Bin Hu Zhenyong Zhang State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China

With the widespread use of machine learning(ML)technology,the operational efficiency and responsiveness of power grids have been significantly enhanced,allowing smart grids to achieve high levels of automation and ***,tree ensemble models commonly used in smart grids are vulnerable to adversarial attacks,making it urgent to enhance their *** address this,we propose a robustness enhancement method that incorporates physical constraints into the node-splitting decisions of tree *** algorithm improves robustness by developing a dataset of adversarial examples that comply with physical laws,ensuring training data accurately reflects possible attack scenarios while adhering to physical *** our experiments,the proposed method increased robustness against adversarial attacks by 100%when applied to real grid data under physical *** results highlight the advantages of our method in maintaining efficient and secure operation of smart grids under adversarial conditions.

关键词： Tree ensemble robustness enhancement adversarial attack smart grid

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Recent advances on smart grid technology and renewable energy integration

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Science China(Technological Sciences) 2013年第12期56卷 3040-3048页

作者： MEI ShengWei CHEN LaiJun State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Dept. of Electrical Engineering Tsinghua University)

With the integration of renewable energy generations and other related changes,the smart grid,or the future electric power system,is confronted with new challenges and ***,it is a promising subject in electrical engineering and much work has been done on *** paper reviews the recent advances on the technologies of smart grid and renewable energy integration,from the aspects of modeling,simulation,protection and control,stability,operation,and planning.

关键词： smart grid renewable energy integration modeling simulation protection and control stability operation planning

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A QoS-Aware Packet Scheduling Mechanism in Cognitive Radio Networks for smart grid Applications

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China Communications 2016年第2期13卷 68-78页

作者： XU Siya WEI Lei LIU Zhu GUO Shaoyong QIU Xuesong MENG Luoming State Key Laboratory of Network and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Information&Telecommunication Branch of Nanjing Power Supply Company of State grid Jiangsu Electric Power Company Nanjing 210008China State grid Information&Telecommunication Co. Ltd.Beijing 100031China

Cognitive radio sensor network is applied to facilitate network monitoring and management, and achieves high spectrum efficiencies in smart grid. However, the conventional traffic scheduling mechanisms are hard to provide guaranteed quality of service for the secondary users. It is because that they ignore the influence of diverse transition requirements in heterogeneous traffi c. Therefore, a novel Qo S-aware packet scheduling mechanism is proposed to improve transmission quality for secondary users. In this mechanism, a Qo S-based prioritization model is established to address data classification firstly. And then, channel quality and the effect of channel switch are integrated into priority-based packet scheduling mechanism. At last, the simulation is implemented with MATLAB and OPNET. The results show that the proposed scheduling mechanism improves the transmission quality of high-priority secondary users and increase the whole system utilization by 10%.

关键词： smart grid cognitive radio sensornetworks (CRSN) quality of service (QoS) scheduling mechanism

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Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

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Protection and Control of Modern Power Systems 2023年第3期8卷 97-138页

作者： Faiaz Ahsan Nazia Hasan Dana Subrata K.Sarker Li Li S.M.Muyeen Md.Firoj Ali Zinat Tasneem Md.Mehedi Hasan Sarafat Hussain Abhi Md.Robiul Islam Md.Hafiz Ahamed Md.Manirul Islam Sajal K.Das Md.Faisal R.Badal Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering and TechnologyRajshahiBangladesh School of Electrical and Data Engineering Faculty of Engineering and ITUniversity of Technology SydneyUltimoAustralia Electrical Engineering Department Qatar UniversityDohaQatar

Meteorological changes urge engineering communities to look for sustainable and clean energy technologies to keep the environment safe by reducing CO_(2) *** structure of these technologies relies on the deep inte-gration of advanced data-driven techniques which can ensure efficient energy generation,transmission,and *** conducting thorough research for more than a decade,the concept of the smart grid(SG)has emerged,and its practice around the world paves the ways for efficient use of reliable energy ***,many developing features evoke keen interest and their improvements can be regarded as the next-generation smart grid(NGSG).Also,to deal with the non-linearity and uncertainty,the emergence of data-driven NGSG technology can become a great initiative to reduce the diverse impact of *** paper exhibits the conceptual framework of NGSG by enabling some intelligent technical features to ensure its reliable operation,including intelligent control,agent-based energy conversion,edge computing for energy management,internet of things(IoT)enabled inverter,agent-oriented demand side management,***,a study on the development of data-driven NGSG is discussed to facilitate the use of emerging data-driven techniques(DDTs)for the sustainable operation of the *** prospects of DDTs in the NGSG and their adaptation challenges in real-time are also explored in this paper from various points of view including engineering,technology,et ***,the trends of DDTs towards securing sustainable and clean energy evolution from the NGSG technology in order to keep the environment safe is also studied,while some major future issues are *** paper can offer extended support for engineers and researchers in the context of data-driven technology and the SG.

关键词： Data-driven technology smart grid Sustainable energy evolution Next-generation smart grid Intelligent

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Genetic Algorithm-Based Redundancy Optimization Method for smart grid Communication Network

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China Communications 2015年第8期12卷 73-84页

作者： SHI Yue QIU Xuesong GUO Shaoyong State Key Laboratory of Networking and Switching Beijing University of Posts and Telecommunications

This paper proposes a redundancy optimization method for smart grid Advanced Metering Infrastructure(AMI) to realize economy and reliability *** is a crucial part of the smart grid to measure,collect,and analyze data about energy usage and power quality from customer *** the communication perspective,the AMI consists of smart meters,Home Area Network(HAN) gateways and data concentrators;in particular,the redundancy optimization problem focus on deciding which data concentrator needs *** order to solve the problem,we first develop a quantitative analysis model for the network economic loss caused by the data concentrator ***,we establish a complete redundancy optimization model,which comprehensively consider the factors of reliability and ***,an advanced redundancy deployment method based on genetic algorithm(GA) is developed to solve the proposed *** simulation results testify that the proposed redundancy optimization method is capable to build a reliable and economic smart grid communication network.

关键词： smart grid advanced metering infrastructure redundancy optimization dataconcentrator genetic algorithm

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Constrained coordinated distributed control of smart grid with asynchronous information exchange

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Journal of Modern Power Systems and Clean Energy 2015年第4期3卷 512-525页

作者： Benjamin MILLAR Danchi JIANG Md.Enamul HAQUE School of Engineering&ICT University of TasmaniaHobartAustralia School of Engineering Deakin UniversityMelbourneAustralia

smart grid constrained optimal control is a complex issue due to the constant growth of grid complexity and the large volume of data available as input to smart device *** this context,traditional centralized control paradigms may suffer in terms of the timeliness of optimization results due to the volume of data to be processed and the delayed asynchronous nature of the data *** address these limits of centralized control,this paper presents a coordinated,distributed algorithm based on distributed,local controllers and a central coordinator for exchanging summarized global state *** proposed model for exchanging global state information is resistant to fluctuations caused by the inherent interdependence between local controllers,and is robust to delays in information *** addition,the algorithm features iterative refinement of local state estimations that is able to improve local controller ability to operate within network *** of the proposed coordinated,distributed algorithm through simulation shows its effectiveness in optimizing a global goal within a complex distribution system operating under constraints,while ensuring network operation stability under varying levels of information exchange delay,and with a range of network sizes.

关键词： smart grid Distributed optimization Demand-side management Distributed generation Distributed storage Approximate dynamic programming

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