Minimax Regret Robust Co-Planning of Transmission and Energy Storage Systems With Mixed Integer Recourse

The growing penetration of renewable energy sources, with intermittent and uncertain nature, brings new challenges to the secure and efficient operation of power systems. Expanding transmission networks and utilizing energy storage (ES) have been introduced as effective solutions to address these challenges. This paper presents a minimax regret robust co-planning model with mixed integer recourse for transmission and ES systems, designed from the perspective of a central planner. The model considers a polyhedral uncertainty set for future peak load growth, while uncertainties in wind farm expansion are addressed through internal scenario analysis. This approach will guarantee the robustness of investment decisions and provide the central planner with a clear picture of the maximum regret among all possible scenarios. Furthermore, the proposed minimax regret framework facilitates strategic planning for ES installation after the resolution of long-term uncertainties. In this paper, we reformulate the model into a standard min-max-min problem, in which the maximization level is only over uncertainties. Subsequently, a five-level solution strategy based on a modified nested column and constraint generation decomposition technique is represented to deal with the intractability and complexity of the problem caused by binary variables of transmission lines and ES blocks. The model is finally evaluated through comprehensive simulation studies to verify its tractability, practicality, and effectiveness.

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Publication Details

Journal
IEEE Transactions on Sustainable Energy
Published
2025-03-04
DOI
https://doi.org/10.1109/tste.2025.3547836
Citations
3
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
2.19
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article

Minimax Regret Robust Co-Planning of Transmission and Energy Storage Systems With Mixed Integer Recourse

Moein Moeini‐Aghtaie, Mehdi Ehsan, Mohammad Shahidehpour, Hossein Saber et al.
3 citations
IEEE Transactions on Sustainable Energy
Optimal Power Flow Distribution
2.19
article

Minimax Regret Robust Co-Planning of Transmission and Energy Storage Systems With Mixed Integer Recourse

Moein Moeini‐Aghtaie, Mehdi Ehsan, Mohammad Shahidehpour, Hossein Saber, Ehsan Barkom
article en
3 citations

Abstract

The growing penetration of renewable energy sources, with intermittent and uncertain nature, brings new challenges to the secure and efficient operation of power systems. Expanding transmission networks and utilizing energy storage (ES) have been introduced as effective solutions to address these challenges. This paper presents a minimax regret robust co-planning model with mixed integer recourse for transmission and ES systems, designed from the perspective of a central planner. The model considers a polyhedral uncertainty set for future peak load growth, while uncertainties in wind farm expansion are addressed through internal scenario analysis. This approach will guarantee the robustness of investment decisions and provide the central planner with a clear picture of the maximum regret among all possible scenarios. Furthermore, the proposed minimax regret framework facilitates strategic planning for ES installation after the resolution of long-term uncertainties. In this paper, we reformulate the model into a standard min-max-min problem, in which the maximization level is only over uncertainties. Subsequently, a five-level solution strategy based on a modified nested column and constraint generation decomposition technique is represented to deal with the intractability and complexity of the problem caused by binary variables of transmission lines and ES blocks. The model is finally evaluated through comprehensive simulation studies to verify its tractability, practicality, and effectiveness.

IEEE Transactions on Sustainable EnergyVol. 16(3)
Sharif University of Technology (IR), Illinois Institute of Technology (US)
Affordable and clean energy
Openalex Percentile: Top 13%
Optimal Power Flow Distribution
2.19
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Minimax Regret Robust Co-Planning of Transmission and Energy Storage Systems With Mixed Integer Recourse — Moein Moeini‐Aghtaie, Mehdi Ehsan, et al. · IEEE Transactions on Sustainable Energy (2025) | TGRS Research Map | TGRS