Evaluating capacity auction design for electricity: An experimental analysis

A-Tier
Journal: Energy Economics
Year: 2022
Volume: 115
Issue: C

Authors (3)

Yiakoumi, Despina (not in RePEc) Rouaix, Agathe (not in RePEc) Phimister, Euan (University of Aberdeen)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper considers the design of multi-unit procurement auctions relevant for electricity capacity markets drawing on the structure of the market introduced in Great Britain. Simple games are used to generate predictions about the impact of information feedback between auction rounds and the shape of the demand curve. These predictions are used as benchmarks and tested using a series of economic experiments. The results show that participants recognize their own and their opponents' market power opportunities, raising clearing prices and lowering allocative efficiency. No information feedback between rounds reduces average clearing prices and the risk of not achieving the supply target but also typically reduces allocative efficiency. A downward sloping step-demand function leads to competitive prices no matter what the level of feedback is but not necessarily to allocative efficiency. It also significantly increases the risk of not achieving the target level of supply.

Technical Details

RePEc Handle
repec:eee:eneeco:v:115:y:2022:i:c:s0140988322004996
Journal Field
Energy
Author Count
3
Added to Database
2026-01-29