posted by user: sleiNL || 2798 views || tracked by 3 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

IET-CPS-SI:IoT-based Secure Health 2023   Special issue on IoT-based Secure Health Monitoring and Tracking through Estimated Computing
CSW 2023   2023 International Workshop on Cyber Security (CSW 2023)
SI BDAaTiCI 2023   Special Issue on Big Data Applications and Techniques in Cyber Intelligence
ICONIP 2023   The 30th International Conference on Neural Information Processing (ICONIP2023)
CLUSTER 2023   cluster 2023 : IEEE Cluster Conference
IJAD 2023   International Journal of Advanced Dermatology
EI-CSCSG 2023   2023 International Conference on Smart Cities and Smart Grid (CSCSG 2023)
RTEE 2023   9th International Conference on Recent Trends in Electrical Engineering
SI-MLT 2023   Special Issue on MACHINE LEARNING IN TOURISM - Int. J. of Machine Learning and Cybernetics (Springer)
SI MAI 2023   SPECIAL ISSUE on Mathematics for Artificial intelligence and Artificial intelligence for Mathematics