Decentralized Privacy-Preserving Distributionally Robust Restoration of Electricity/Natural-Gas Systems Considering Coordination of Pump Storage Hydropower and Wind Farms | IEEE Journals & Magazine | IEEE Xplore

Decentralized Privacy-Preserving Distributionally Robust Restoration of Electricity/Natural-Gas Systems Considering Coordination of Pump Storage Hydropower and Wind Farms


This study focuses on the coordination of electricity and natural gas networks in the power system restoration process under a decentralized optimization framework. In ad...

Abstract:

A swift power system restoration in a post-blackout event is one the most important challenges faced by the transmission system (TS) operators (TSO), which is particularl...Show More

Abstract:

A swift power system restoration in a post-blackout event is one the most important challenges faced by the transmission system (TS) operators (TSO), which is particularly essential in the presence of wind farms, as their potential can be great in a fast restoration. In this study, we propose a bi-level decentralized approach to examine the influence of natural gas network (NGN) constraints on the bulk power system restoration process, taking into account the concurrent effects of pump storage hydropowers (PSHs) and wind farms. At the upper level of the problem, the transmission system (TS) operator (TSO) submits the amount of natural gas fuel consumed by the gas-fired units (GFUs) to the NGN by observing the restoration, operational, and topological constraints. The objective of the TSO is to maximize load servicing in the power grid restoration process. The equilibrium of the proposed bi-level problem is calculated by the analytical target cascading (ACT) algorithm, preserving the privacy of both electricity and NGNs. In the proposed study, an investigation has been conducted into the impact of the gas storage system (GSS) and linepack technology on enhancing the restoration process. Moreover, a moment-based distributionally robust optimization (DRO) approach has been deployed to model the uncertain behavior of wind farms in the restoration process. The proposed approach comprehensively examines the effects of the decentralized interconnection between electricity and NGNs in the restoration process. This facet holds great significance for the advancement of future sustainable energy systems. The results show that ignoring the NGN model leads to 11.92% higher level of unserviced loads.
This study focuses on the coordination of electricity and natural gas networks in the power system restoration process under a decentralized optimization framework. In ad...
Published in: IEEE Access ( Volume: 12)
Page(s): 13747 - 13762
Date of Publication: 16 January 2024
Electronic ISSN: 2169-3536

Funding Agency:

Author image of N. Nasiri
Electrical Engineering Department, Resilient Smart Grid Research Laboratory, Azarbaijan Shahid Madani University, Tabriz, Iran
N. Nasiri (Student Member, IEEE) received the B.S. degree in electrical engineering from the Technical University of Tabriz, Tabriz, Iran, in 2017, and the M.S. degree in electrical engineering from the University of Sahand, Tabriz, in 2020. He is currently pursuing the Ph.D. degree in electrical engineering with Azarbaijan Shahid Madani University, Tabriz. His research interests include multi-energy systems, integrated e...Show More
N. Nasiri (Student Member, IEEE) received the B.S. degree in electrical engineering from the Technical University of Tabriz, Tabriz, Iran, in 2017, and the M.S. degree in electrical engineering from the University of Sahand, Tabriz, in 2020. He is currently pursuing the Ph.D. degree in electrical engineering with Azarbaijan Shahid Madani University, Tabriz. His research interests include multi-energy systems, integrated e...View more
Author image of S. Zeynali
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg
S. Zeynali (Student Member, IEEE) is currently pursuing the Ph.D. degree with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. His research interests include applications of distributed and convex optimization methods in power systems, traffic networks, and transportation electrification.
S. Zeynali (Student Member, IEEE) is currently pursuing the Ph.D. degree with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. His research interests include applications of distributed and convex optimization methods in power systems, traffic networks, and transportation electrification.View more
Author image of S. Najafi Ravadanegh
Electrical Engineering Department, Resilient Smart Grid Research Laboratory, Azarbaijan Shahid Madani University, Tabriz, Iran
S. Najafi Ravadanegh (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2009. He is currently a Professor with the Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, Iran, where he is responsible for the Resilient Smart Grids Research Laboratory.
S. Najafi Ravadanegh (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2009. He is currently a Professor with the Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, Iran, where he is responsible for the Resilient Smart Grids Research Laboratory.View more
Author image of S. Kubler
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg
S. Kubler (Senior Member, IEEE) is currently a Research Scientist with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. He had a leading role in several EU projects. He has broad expertise in decision support systems using artificial intelligence (AI), with a focus on how to ensure their trustworthiness, which is a key requirement of the AI Act and the Ethics Guidelines for...Show More
S. Kubler (Senior Member, IEEE) is currently a Research Scientist with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. He had a leading role in several EU projects. He has broad expertise in decision support systems using artificial intelligence (AI), with a focus on how to ensure their trustworthiness, which is a key requirement of the AI Act and the Ethics Guidelines for...View more
Author image of Y. Le Traon
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg
Y. Le Traon (Fellow, IEEE) is currently a Full Professor of computer science with the University of Luxembourg, in the domain of software engineering, with a focus on software testing, software security, and data-intensive systems. He is also the Director of the Interdisciplinary Centre for Security, Reliability and Trust (SnT).
Y. Le Traon (Fellow, IEEE) is currently a Full Professor of computer science with the University of Luxembourg, in the domain of software engineering, with a focus on software testing, software security, and data-intensive systems. He is also the Director of the Interdisciplinary Centre for Security, Reliability and Trust (SnT).View more

Author image of N. Nasiri
Electrical Engineering Department, Resilient Smart Grid Research Laboratory, Azarbaijan Shahid Madani University, Tabriz, Iran
N. Nasiri (Student Member, IEEE) received the B.S. degree in electrical engineering from the Technical University of Tabriz, Tabriz, Iran, in 2017, and the M.S. degree in electrical engineering from the University of Sahand, Tabriz, in 2020. He is currently pursuing the Ph.D. degree in electrical engineering with Azarbaijan Shahid Madani University, Tabriz. His research interests include multi-energy systems, integrated energy markets, peer-to-peer energy transactions, and power system restoration.
N. Nasiri (Student Member, IEEE) received the B.S. degree in electrical engineering from the Technical University of Tabriz, Tabriz, Iran, in 2017, and the M.S. degree in electrical engineering from the University of Sahand, Tabriz, in 2020. He is currently pursuing the Ph.D. degree in electrical engineering with Azarbaijan Shahid Madani University, Tabriz. His research interests include multi-energy systems, integrated energy markets, peer-to-peer energy transactions, and power system restoration.View more
Author image of S. Zeynali
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg
S. Zeynali (Student Member, IEEE) is currently pursuing the Ph.D. degree with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. His research interests include applications of distributed and convex optimization methods in power systems, traffic networks, and transportation electrification.
S. Zeynali (Student Member, IEEE) is currently pursuing the Ph.D. degree with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. His research interests include applications of distributed and convex optimization methods in power systems, traffic networks, and transportation electrification.View more
Author image of S. Najafi Ravadanegh
Electrical Engineering Department, Resilient Smart Grid Research Laboratory, Azarbaijan Shahid Madani University, Tabriz, Iran
S. Najafi Ravadanegh (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2009. He is currently a Professor with the Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, Iran, where he is responsible for the Resilient Smart Grids Research Laboratory.
S. Najafi Ravadanegh (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2009. He is currently a Professor with the Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, Iran, where he is responsible for the Resilient Smart Grids Research Laboratory.View more
Author image of S. Kubler
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg
S. Kubler (Senior Member, IEEE) is currently a Research Scientist with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. He had a leading role in several EU projects. He has broad expertise in decision support systems using artificial intelligence (AI), with a focus on how to ensure their trustworthiness, which is a key requirement of the AI Act and the Ethics Guidelines for Trustworthy AI published by the European Commission. He received the Best Thesis Award in Automatic Control from the IFAC French Workgroup GdR MACS/Club EEA.
S. Kubler (Senior Member, IEEE) is currently a Research Scientist with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. He had a leading role in several EU projects. He has broad expertise in decision support systems using artificial intelligence (AI), with a focus on how to ensure their trustworthiness, which is a key requirement of the AI Act and the Ethics Guidelines for Trustworthy AI published by the European Commission. He received the Best Thesis Award in Automatic Control from the IFAC French Workgroup GdR MACS/Club EEA.View more
Author image of Y. Le Traon
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg
Y. Le Traon (Fellow, IEEE) is currently a Full Professor of computer science with the University of Luxembourg, in the domain of software engineering, with a focus on software testing, software security, and data-intensive systems. He is also the Director of the Interdisciplinary Centre for Security, Reliability and Trust (SnT).
Y. Le Traon (Fellow, IEEE) is currently a Full Professor of computer science with the University of Luxembourg, in the domain of software engineering, with a focus on software testing, software security, and data-intensive systems. He is also the Director of the Interdisciplinary Centre for Security, Reliability and Trust (SnT).View more

References

References is not available for this document.