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May 29, 2026International Journal of Electrical Power & Energy Systems0 citationsOpen Access

Efficient market clearing for manual Frequency Restoration Reserve capacity with stochastic activation costs and nested decomposition

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HNHenrik NordströmKKKiarash KazariMHMohammad Reza Hesamzadeh

Key Points

  • This research aims to optimize the market clearing process for manual Frequency Restoration Reserve (mFRR) capacity by incorporating stochastic activation costs.
  • Developed a solution algorithm combining Benders Decomposition with Stochastic Activation Value Linear Relaxation (SAVLR).
  • Utilized Bayesian Neural Networks for scenario generation to improve cost predictions.
  • Analyzed potential cost reductions in a market setting in Sweden.
  • Identified potential daily cost reductions ranging from 600 to 14,500 €.
  • Showed that the implementation of the new market design can significantly lower operational costs.
  • Provided a framework for efficient clearing in capacity markets with defined activation costs.

Abstract

• New mFRR capacity market that considers energy-activation costs. • Solution algorithm combining Benders Decomposition and SAVLR. • Scenario generation using Bayesian Neural Networks. • Potential cost reduction of 600-14,500 €/day in Sweden.

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Cite This Study

Nordström et al. (2026) studied this question.

synapsesocial.com/papers/6a192ee7fab5b468c4418345https://doi.org/10.1016/j.ijepes.2026.111948
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