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

Nasiri, N.; ZEINALI, Saeid; Ravadanegh, S.Najafi; KUBLER, Sylvain; LE TRAON, Yves

doi:10.1109/ACCESS.2024.3354891

Article (Scientific journals)

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

Nasiri, N.; ZEINALI, Saeid; Ravadanegh, S.Najafi et al.

2024 • In IEEE Access, 12, p. 13747 - 13762

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/63267

DOI
10.1109/ACCESS.2024.3354891

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Keywords :

Bi-level decentralized problem; distributionally robust optimization; independent power and natural gas system; linepack technology; power system restoration; privacy preservation; Decentralised; Distributionally robust optimization; Independent power and natural gas system; Linepack technology; Natural gas systems; Next generation networking; Optimisations; Power; Power system; Power system restoration; Privacy preservation; Renewable energy source; Resilience; Robust optimization; Wind farm; Computer Science (all); Materials Science (all); Engineering (all); Wind farms; Renewable energy sources; Power systems; Natural gas; Optimization; Robust stability; Natural gas industry

Abstract :

[en] 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.

Disciplines :

Energy

Author, co-author :

Nasiri, N. ; Azarbaijan Shahid Madani University, Resilient Smart Grid Research Laboratory, Electrical Engineering Department, Tabriz, Iran

ZEINALI, Saeid ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal

Ravadanegh, S.Najafi ; Azarbaijan Shahid Madani University, Resilient Smart Grid Research Laboratory, Electrical Engineering Department, Tabriz, Iran

KUBLER, Sylvain ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal

LE TRAON, Yves ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

External co-authors :

yes

Language :

English

Title :

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

Publication date :

2024

Journal title :

IEEE Access

ISSN :

2169-3536

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Pages :

13747 - 13762

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10401226.pdf?arnumber=10401226

Funders :

Luxembourg National Research Fund (FNR) LightGridSEED Project

Available on ORBilu :

since 18 December 2024

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