Bid-Aggregation Based Clearing of Day-Ahead Electricity Markets

Abstract In this work we propose a heuristic clearing method for a simplified model of European day-ahead electricity auction markets, considering divisible standard bids and block orders. In the first part of the process, a computationally less demanding problem is solved using an approximation of the cumulative demand and supply curves, which are derived via the aggregation of simple bids. Based on the outcome of this problem, estimated ranges for the clearing prices of individual periods are determined. In the final step, the clearing for the original bid set is solved, taking into account the price ranges determined previously as constraints, reducing the feasibility region of the clearing problem. By removing bids whose acceptance or rejection is already determined by the assumed price range constraints, the size of the problem is also significantly reduced. Via simple examples, we show that due to the possible paradox rejection of block orders the proposed bid-aggregation based approach may result in a suboptimal solution or in an infeasible problem, but we also point out that these pitfalls of the algorithm may be avoided by using different aggregation patterns. We propose to run multiple threads of the algorithm, using different aggregation patterns. We evaluate the performance of the algorithm via numerical tests.

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Publication Details

Journal
Smart Grids and Sustainable Energy
Published
2024-09-21
DOI
https://doi.org/10.1007/s40866-024-00219-z
Citations
1
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.21

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article

Bid-Aggregation Based Clearing of Day-Ahead Electricity Markets

Botond Feczkó
1 citations
Smart Grids and Sustainable Energy
Electric Power System Optimization
0.21
article

Bid-Aggregation Based Clearing of Day-Ahead Electricity Markets

Botond Feczkó
article en
1 citations

Abstract

Abstract In this work we propose a heuristic clearing method for a simplified model of European day-ahead electricity auction markets, considering divisible standard bids and block orders. In the first part of the process, a computationally less demanding problem is solved using an approximation of the cumulative demand and supply curves, which are derived via the aggregation of simple bids. Based on the outcome of this problem, estimated ranges for the clearing prices of individual periods are determined. In the final step, the clearing for the original bid set is solved, taking into account the price ranges determined previously as constraints, reducing the feasibility region of the clearing problem. By removing bids whose acceptance or rejection is already determined by the assumed price range constraints, the size of the problem is also significantly reduced. Via simple examples, we show that due to the possible paradox rejection of block orders the proposed bid-aggregation based approach may result in a suboptimal solution or in an infeasible problem, but we also point out that these pitfalls of the algorithm may be avoided by using different aggregation patterns. We propose to run multiple threads of the algorithm, using different aggregation patterns. We evaluate the performance of the algorithm via numerical tests.

Smart Grids and Sustainable EnergyVol. 9(2)
Budapest University of Technology and Economics (HU), Pázmány Péter Catholic University (HU), ELTE Centre for Economic and Regional Studies (HU)
Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
Openalex Percentile: Top 55%
Electric Power System Optimization
0.21
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Bid-Aggregation Based Clearing of Day-Ahead Electricity Markets — Botond Feczkó · Smart Grids and Sustainable Energy (2024) | TGRS Research Map | TGRS