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Controlling market power and price spikes in electricity networks: Demand-side bidding

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Rassenti, Stephen J., Smith, Vernon L., Wilson, Bart J.·2003·Proceedings of the National Academy of Sciences

Abstract

In this article we report an experiment that examines how demand-side bidding can discipline generators in a market for electric power. First we develop a treatment without demand-side bidding; two large firms are allocated baseload and intermediate cost generators such that either firm might unilaterally withhold the capacity of its intermediate cost generators from the market to benefit from the supracompetitive prices that would result from only selling its baseload units. In a converse treatment, ownership of some of the intermediate cost generators is transferred from each of these firms to two other firms such that no one firm could unilaterally restrict output to spawn supracompetitive prices. Having established a well controlled data set with price spikes paralleling those observed in the naturally occurring economy, we also extend the design to include demand-side bidding. We find that demand-side bidding completely neutralizes the exercise of market power and eliminates price spikes even in the presence of structural market power.

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Metadata

Authors
Rassenti, S. J., Smith, V. L., & Wilson, B. J.
Venue
Proceedings of the National Academy of Sciences
Published
2003-02-24
Volume
100
Issue
5
Pages
2998-3003
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2099891779
Cited by
167
References
0
FWCI
6.03
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Controlling market power and price spikes in electricity networks: Demand-side bidding. https://app.cochat.ai/papers/10.1073/pnas.0437942100
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Rassenti, S. J., Smith, V. L., & Wilson, B. J. (2003). Controlling market power and price spikes in electricity networks: Demand-side bidding. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0437942100

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.