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  4. Fast power market cross-zonal capacity co-optimization using inner approximations: Method, validation, and application
 
research article

Fast power market cross-zonal capacity co-optimization using inner approximations: Method, validation, and application

Virginillo, Dawn  
•
Derviškadić, Asja
•
Hohmann, Marc
December 1, 2025
Sustainable Energy, Grids and Networks

Recent trends in market liberalization and increasing congestion in the European interconnected grid have motivated studies of parameters provided to power markets, especially in the intraday and balancing timeframes. In this paper, we present a method using single-box inner polytope approximation to co-optimize the Available Transfer Capacities (ATCs) between multiple bidding zones. The feasible region is bounded by linear flow constraints consisting of AC PTDFs, computed for N−1 contingency cases. Thanks to its formulation as a linear programming problem, the method provides efficient capacity computation, well-suited for applications close to real-time. The method is validated using the IEEE 39-Bus model and the behaviour of the algorithm is demonstrated using real case studies on the Swiss transmission system. Results demonstrate the formulation’s computational efficiency and enable analysis of the linearization accuracy. The proposed method is implemented in a near-real time decision support tool used to compute N−1 secure ATCs, which is in operation in the control room of Swissgrid, the Swiss Transmission System Operator.

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Type
research article
DOI
10.1016/j.segan.2025.102013
Scopus ID

2-s2.0-105022199401

Author(s)
Virginillo, Dawn  

École Polytechnique Fédérale de Lausanne

Derviškadić, Asja

Swissgrid Ltd

Hohmann, Marc

Swissgrid Ltd

Date Issued

2025-12-01

Published in
Sustainable Energy, Grids and Networks
Volume

44

Article Number

102013

Subjects

Available transfer capacity computation

•

Convex optimization

•

Inner approximation of polytopes

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Linear programming

•

Linearization

•

Power transfer distribution factors

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DESL  
Available on Infoscience
November 26, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/256354
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