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October 13, 20250 citationsOpen Access

Complexity Reduction for TSO-DSO Coordination: Flexibility Aggregation vs. Distributed Optimization

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MBMaísa Beraldo BandeiraAEAlexander EngelmannTFTimm Faulwasser

Key Points

  • Flexibility aggregation offers near-optimal solutions with low communication requirements, but is approximation-dependent.
  • Distributed optimization achieves better alignment with centralized solutions at the cost of increased communication steps.
  • Both methods are evaluated through a case study using various matpower benchmarks for comprehensive comparison.
  • Efficient coordination between transmission and distribution systems is essential as flexible devices grow in power grids.

Abstract

The increasing number of flexible devices and distributed energy resources in power grids renders the coordination of transmission and distribution systems increasingly complex. In this paper, we discuss and compare two different approaches to optimization-based complexity reduction: Flexibility aggregation via Approximate Dynamic Programming (ADP) and distributed optimization via the Alternating Direction Method of Multipliers (ADMM). Flexibility aggregation achieves near-optimal solutions with minimal communication. However, its performance depends on the quality of the approximation used. In contrast, ADMM attains results closer to the centralized solution but requires significantly more communication steps. We draw upon a case study combining different matpower benchmarks to compare both methods.

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Cite This Study

Bandeira et al. (2025) studied this question.

synapsesocial.com/papers/68ed1896f29694dd1da78c8fhttps://doi.org/10.48550/arxiv.2509.10595
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