On Market Clearing of Day Ahead Auctions for European Power Markets: Cost Minimisation versus Social Welfare Maximisation
Ioan Alexandru Puiu, Raphael Andreas Hauser

TL;DR
This paper compares cost minimisation and social welfare maximisation mechanisms for European day-ahead power markets, introducing new algorithms and analytical tools to evaluate their efficiency and market power implications.
Contribution
It introduces a cost minimisation market clearing model, develops four algorithms leveraging problem structure, and compares it with the standard social welfare maximisation model using real market data.
Findings
Cost minimisation reduces market power of producers.
Social welfare maximisation models real market prices well.
Cost minimisation decreases total electricity procurement costs.
Abstract
For the case of inflexible demand and considering network constraints, we introduce a Cost Minimisation (CM) based market clearing mechanism, and a model representing the standard Social Welfare Maximisation mechanism used in European Day Ahead Electricity Markets. Since the CM model corresponds to a more challenging optimisation problem, we propose four numerical algorithms that leverage the problem structure, each with different trade-offs between computational cost and convergence guarantees. These algorithms are evaluated on synthetic data to provide some intuition of their performance. We also provide strong (but partial) analytical results to facilitate efficient solution of the CM problem, which call for the introduction of a new concept: optimal zonal stack curves, and these results are used to devise one of the four solution algorithms. An evaluation of the CM and SWM models…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectric Power System Optimization · Smart Grid Energy Management · Optimal Power Flow Distribution
