Smart cyber-physical power systems : fundamental concepts, challenges, and solutions. Volume 1 / edited by Ali Parizad, Hamid Reza Baghaee, Saifur Rahman.

Format:

Book

Contributor:

Parizad, Ali, editor.

Baghaee, Hamid Reza, editor.

Rahman, Saifur, editor.

Wiley InterScience (Online service)

Series:

IEEE Press series on power and energy systems ; 131.

IEEE Press series on power and energy systems ; 131

Language:

English

Subjects (All):

Cooperating objects (Computer systems).

Electric power systems--Automation.

Electric power systems.

Artificial intelligence.

Physical Description:

1 online resource (xiv, 746 pages) : illustrations (chiefly color).

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Inc.; Piscataway, NJ : IEEE Press, [2025]

Contents:

About the Editors

List of Contributors

Foreword (John D. McDonald)

Foreword (Massoud Amin)

Preface for Volume 1: Smart Cyber-Physical Power Systems: Fundamental Concepts, Challenges, and Solutions

Acknowledgments

1 Overview of Smart Cyber-Physical Power Systems: Fundamentals, Challenges, and Solutions 1 Ali Parizad, Hamid Reza Baghaee, and Saifur Rahman

1.1 Introduction

1.2 Structural Overview and Roadmap of the Book

1.3 General Concepts of the Cyber-Physical Systems

1.4 Cyber-Physical Energy and Power Systems (CPEPSS)

1.5 From Conventional Distribution Networks to Smart Grids

1.6 Smart Grid Ecosystem (From Smart Buildings to Smart Grid)

1.7 Cybersecurity in Modern Power Systems

1.8 Conclusions

References

2 Global Demand Response Status: Potentials, Barriers, and Solutions 71 Sanchari Deb, Elahe Doroudchi, Sergio Motta, Matti Aro, and Amir Safdarian

2.1 Background

2.2 Global Status of DR Programs

2.3 AI and ML Applications in DR

2.4 Case Study

2.5 Discussion

3 Smart Power/Energy Management and Optimization in Microgrids 85 Talal Saleh, Omar Mohamed, Seyed Farhad Zandrazavi, and Miadreza Shafie-khah

3.1 Introduction

3.2 Materials and Methods

3.3 Simulation and Results

3.4 Discussion

3.5 Conclusions

4 Smart City Energy Infrastructure as a Cyber-Physical System of Systems: Planning, Operation, and Control Processes 99 Mahdi Nozarian, Alireza Fereidunian, and Masoud Barati

4.1 Introduction

4.2 Cyber-Physical System of Systems

4.3 Cyber-Physical System of System Application Domains

4.4 Smart City Cyber-Physical System of Systems

4.5 Smart City Energy Cyber-Physical System of Systems

4.6 Planning, Operation, and Control Process in Smart City Energy Cyber-Physical System of Systems

4.7 Emergence in Smart City Energy Cyber-Physical System of Systems

4.8 Conclusions

5 Metaverse Local Energy Market in Smart City: A Descriptive Model and Strategic Development Analysis 125 Mohammad Ghafourian Nasiri, Zahra Iranpour Mobarakeh, Mahdi Nozarian, Alireza Fereidunian, Sabrieh Choobkar, and Hossein Jobran

5.1 Introduction

5.2 Background

5.3 Concepts

5.4 Case Study: Local Energy Market in Metaverse

5.5 Discussions and Conclusions

6 Cooperative and Distributed Control Strategies of Microgrids 135 Mahmood Jamali and Mahdieh S. Sadabadi

6.1 Introduction

6.2 Fault-Tolerant Secondary Control Schemes in Islanded AC Microgrids

6.3 Finite-Time Fault-Tolerant Voltage Control

6.4 Case Studies

6.5 Concluding Remarks

7 Interconnected Microgrid Systems: Architecture, Hierarchical Control, and Implementation 151 Tung Lam Nguyen, Yu Wang, Ha Thi Nguyen, and Tran The Hoang

7.1 Introduction

7.2 Architecture

7.3 Hierarchical Control of Interconnected MGs

7.4 The Multi-Agent System

7.5 The Implementation on a Real-Time Cyber-Physical Testbed

7.6 Conclusions

8 Internet of Energy, and Internet of Microgrids (IoE, IoM) 167 Jonatas Boas Leite and Mladen Kezunovic

8.1 Introduction

8.2 Interfacing of the IoT Node for Self-Healing Strategies

8.3 Performance Assessment Results

8.4 Concluding Remarks

9 Voltage Regulation and Reactive Power Optimization for Integration of Distributed Energy Resources into Smart Grids 187 Firdous Ul Nazir, Bikash C. Pal, and Rabih A. Jabr

9.1 Introduction

9.2 Traditional Volt/Var Control

9.3 Network Model

9.4 Chance-Constrained Volt/Var Control

9.5 Solution Algorithm

9.6 Results

9.7 Approximate Load Models for Advanced VVC Functions

9.8 Binomial Approximation Method

9.9 Linear Regression Method

9.10 Results

9.11 Conservation Voltage Reduction

9.12 Conclusions

10 The Role of Data Analysis in Hosting Capacities of Distribution Power Systems for Electric Vehicles 207 Alireza Ghadertootoonchi, Mehdi Davoudi, Mohaddeseh Koochaki, and Moein Moeini-Aghatie

Nomenclature

10.1 EVs' Power Demand Forecast Methods

10.2 Review of EVs' Energy Management Strategies

10.3 Uncertainties Regarding EVs and Their Impact on the Power Networks

10.4 Data Analyses Application in Technical Issues of EVs

10.5 Concluding Remarks

11 Energy Efficiency in Smart Buildings Through IoT Sensor Integration 247 Saifur Rahman and Ali Parizad

11.1 Introduction

11.2 Building Automation Solution Landscape

11.3 Bemoss Tm Features

11.4 Targeted Buildings and Loads

11.5 BEMOSS TM Architecture

11.6 BEMOSS TM Auxiliary Functions

11.7 Multiple-protocol Interoperability

11.8 Test Results

11.9 BEMOSS TM Platform for Campus Applications

11.10 Conclusion

11.11 Exploring Other Capabilities of the BEMOSS TM Platform

12 Optimal Dispatch of Smart Energy System Based on Cyber-Physical-Social Integration 293 Jizhong Zhu, Ziyu Chen, Wanli Wu, and Chenke He

12.1 Introduction

12.2 CPSS Model

12.3 The Cooperative Operation in V2G

12.4 Framework of a Charging Station with Battery Swapping Mode

12.5 Conclusion

13 Power Distribution Systems Self-Healing 315 Konrad Schmitt, Manohar Chamana, Meisam Mahdavi, Stephen Bayne, and Luciane Neves

13.1 Introduction

13.2 Historical Notes

13.3 Self-Healing Concept

13.4 Mathematical Formulation

13.5 Case Studies

13.6 Concluding Remarks

14 Resiliency, Reliability, and Security of Cyber-Physical Power System 343 Mohsen Chegnizadeh, Mahmoud Fotuhi-Firuzabad, and Sajjad Fatahian dehkordi

Abbreviations

14.1 Introduction and Motivation

14.2 Conceptual and Definitional Studies

14.3 Application of Machine Learning in Power Systems

14.4 Case Study

14.5 Conclusion

15 Cyberattacks on Power Systems 365 Alfan Presekal, Vetrivel Subramaniam Rajkumar, Alexandru ^tefanov, Kaikai Pan, and Peter Palensky

15.1 Introduction

15.2 Cyber Kill Chain

15.3 Review of Major Cyberattacks

15.4 Taxonomy of Cyberattacks on Power Grids

15.5 Impact of Cyberattacks on Power Grids

15.6 Study Case and Simulation Results

15.7 Conclusion

Acknowledgement

List of Acronyms

16 Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems 405 Tapadhir Das, Raj Mani Shukla, Mohammed Ben-Idris, and Shamik Sengupta

16.1 Introduction

16.2 Vulnerabilities of ML Algorithms to Adversarial Attacks

16.3 Theoretical Foundations and Applications of Adversarial Attacks

16.4 Attack Models Under Different Scenarios Including Full, Limited, and No Knowledge About the Target Model

16.5 Real-Life Practical Adversarial Example Generation and Implementation in CPPS

16.6 Protection Strategies Against Adversarial Attacks

16.7 Conclusion and Recommendation

17 Synchrophasor Data Anomaly Detection for Wide-Area Monitoring and Control in Cyber-Power Systems 425 A.K. Srivastava, S. Pandey, A. Ahmed, S. Basumalik, and S.K. Sadanandan

17.1 Introduction

17.2 Synchrophasor-Based Wide-Area Monitoring and Control

17.3 Synchrophasor Data Flow, Anomalies, and Impacts

17.4 Synchrophasor Anomalies Detection and Classification (SyADC)

17.5 Quality-Aware Synchrophasor-Based Monitoring and Control Applications

17.6 Summary

Acknowledgements

18 Application of State Observers and Filters in Protection and Cyber-Security of Power Grids 451 Mohammadmahdi Asghari, Amir Ameli, Mohsen Ghafouri, and Mohammad N. Uddin

18.1 Introduction

18.2 State-Space Model of Systems

18.3 Properties of State-Space Models

18.4 State Observers and Filters

18.5 Application of Observers and Filters in Improving the Authenticity and Accuracy of Measured Data

18.6 Case Study 1: Attack Detection and Identification for Automatic Generation Control Systems

18.7 Case Study 2: Developing Wide-Band Current Transformers for Traveling-wave-based Protection

18.8 Case Study 3: Fault Diagnosis in Transformers Using LPV Observers

18.9 Conclusion

19 Anomaly Detection and Mitigation in Cyber-Physical Power Systems Based on Hybrid Deep Learning and Attack Graphs 505 Alfan Presekal, Alexandru ^tefanov, Vetrivel Subramaniam Rajkumar, and P.

Notes:

Includes bibliographical references and index.

Electronic reproduction. Hoboken, N.J. Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on March 19, 2025).

Other Format:

Print version: Smart cyber-physical power systems

ISBN:

9781394191529

1394191529

9781394191512

1394191510

9781394191505

1394191502

Publisher Number:

90101666552

Access Restriction:

Restricted for use by site license.