posted by user: sleiNL || 3691 views || tracked by 4 users: [display]

IET-JoE SI on Grid Resilience 2021 : Special Issue on “Engineering Techniques & Technologies to Enhance Power System Resilience” - IET The Journal of Engineering

FacebookTwitterLinkedInGoogle

Link: https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/20513305/Special%20Issues/IET_JOE_CFP_ETTEPSR.pdf-1612444344667.pdf
 
When N/A
Where N/A
Submission Deadline Mar 31, 2021
Final Version Due Sep 30, 2021
Categories    power engineering   electrical engineering   cyber security   reliability
 

Call For Papers

Special Issue on “Engineering Techniques and Technologies to Enhance Power System Resilience” - IET The Journal of Engineering (JoE)

The power industry has witnessed increasingly frequent large-scale outages in recent years, which highlight the necessity of enhancing power system resilience against extreme events including natural disasters and malicious attacks. The COVID-19 pandemic also implies that resilient power systems are more indispensable than ever for modern societies. While this hot topic is motivating researchers to propose different resilience-oriented approaches, their industrial application values are awaiting further investigation. Various technical challenges also remain unaddressed, ranging from power system planning, operation and control, to preparedness, response, restoration and recovery against catastrophic disturbances. Meanwhile, additional flexibility resources provided by diverse emerging smart grid components need to be fully coordinated and utilized for resilience enhancement of both transmission and distribution systems. Interdependencies among the power, natural gas, communications, transportation and potentially other critical infrastructures further necessitate studies on multidisciplinary engineering fields and complicate the practical establishment of resilient power systems. The pandemic is also raising concerns of new threats to power systems, e.g., load profile alteration that potentially increases the peak-valley gap and causes problems of relay settings and voltage management. Innovative models, algorithms, simulation tools and analytical techniques with engineering application potentials are needed to tackle the obstacles. This special issue aims to publish original research, visionary review and case study articles on engineering techniques and technologies to enhance power system resilience against extreme events including the COVID-19 pandemic.

Topics of interest include, but are not limited to:
• Architecture of resilient power systems
• Metrics and methods to quantify power system resilience
• Modeling, simulation and analysis of the impacts of extreme events on power systems
• Situational awareness of power systems before, during, and after extreme events
• Modeling, simulation and analysis of interdependent infrastructures against extreme events
• Big data and machine learning approaches for power system resilience analysis and enhancement
• Identification and mitigation of cascading failures
• Utilization of microgrids, networked microgrids and other emerging smart grid components for resilience enhancement
• Resilience-oriented planning, operation, control and protection of power systems
• Resilience-oriented preparedness and response strategies against extreme events
• Cyber-physical system modeling, analysis and resilience enhancement
• Optimization techniques for power system resilience enhancement
• Rapid service restoration and infrastructure recovery after extreme events

Proposed publication schedule:
• Submission Deadline: 31st March 2021 (The submission portal is already open: https://mc.manuscriptcentral.com/theiet-joe)
• Publication Date: September 2021

Guest Editorial Board:
Shunbo Lei (Lead Guest Editor), University of Michigan, USA, Email: shunbol@umich.edu
Sabita Maharjan, University of Oslo, Norway, Email: sabita@simula.no
Chen Chen, Xi’an Jiaotong University, China, Email: morningchen@xjtu.edu.cn
Yunhe Hou, University of Hong Kong, Hong Kong SAR, Email: yhhou@eee.hku.hk
David Pozo, Skolkovo Institute of Science and Technology, Russia, Email: d.pozo@skoltech.ru
Zhaojian Wang, Tsinghua University, China, Email: zj-wang13@tsinghua.org.cn
Qiuwei Wu, Technical University of Denmark, Denmark, Email: qw@elektro.dtu.dk
Kai Strunz (Energy Engineering Section Editor of IET JoE), TU Berlin, Germany, Email: kai.strunz@tu-berlin.de

Please email us if you have any questions about this special issue.
We look forward to receiving your contributions!

Related Resources

SI: Model-Driven Performance Engg in CPS 2025   IET CPS Theory & Applications, Special Issue: Model-Driven System-Performance Engineering for CPS
Security 2025   Special Issue on Recent Advances in Security, Privacy, and Trust
SI_Fault_IoV_OTJ 2025   SI on Tools, Techniques, and Applications for Fault Tolerant and Reliable Vehicular Ad-hoc Networks (VANET) and Internet of Vehicles (IoV), The Open Transportation Journal
IJEL 2024   International Journal of Electromagnetics
SI AIMLDE 2024   SPECIAL ISSUE on Applied Artificial intelligence, Machine Learning, and Data Engineering
IEEE CSR 2025   2025 IEEE International Conference on Cyber Security and Resilience
ELEC 2025   8th International Conference on Electrical Engineering
CCITT 2025   4th International Conference on Computing and Information Technology Trends
IEEE-EI/Scopus-IC2ECS 2024   2024 4th International Conference on Electrical Engineering and Control Science-IEEE Xplore/EI/Scopus
MATHCS 2024   2nd International Conference on Mathematics, Computer Science & Engineering