Optimal and Incentive-compatible Scheduling of Flexible Generation in an Electricity Market

There is a growing need for electricity-system flexibility to maintain real-time balance between energy supply and demand. In this paper, we explore optimal and incentive-compatible scheduling of generators for this purpose. Specifically, we examine a setting wherein each generator has a different operating cost if it is committed in advance (e.g., day- or hour-ahead) as opposed to being reserved as flexible real-time supply. We model an optimal division of generators between advanced commitment and real-time flexible reserves to minimize the expected cost of serving an uncertain demand. Next, we propose an incentive-compatible remuneration scheme with two key properties. First, the remuneration scheme incentivizes generators to reveal their true costs. Second, the scheme aligns generators’ incentives with the market operator’s optimal division of generators between advanced commitment and real-time reserve. We use a simple example to illustrate the market operator’s decision and the remuneration scheme. JEL Classification: C61, D47, D82, L94, Q4

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Publication Details

Journal
The Energy Journal
Published
2025-07-24
DOI
https://doi.org/10.1177/01956574251340293
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73

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article

Optimal and Incentive-compatible Scheduling of Flexible Generation in an Electricity Market

Ramteen Sioshansi, Yuzhou Jiang
1 citations
The Energy Journal
Smart Grid Energy Management
0.73
article

Optimal and Incentive-compatible Scheduling of Flexible Generation in an Electricity Market

Ramteen Sioshansi, Yuzhou Jiang
article en
1 citations

Abstract

There is a growing need for electricity-system flexibility to maintain real-time balance between energy supply and demand. In this paper, we explore optimal and incentive-compatible scheduling of generators for this purpose. Specifically, we examine a setting wherein each generator has a different operating cost if it is committed in advance (e.g., day- or hour-ahead) as opposed to being reserved as flexible real-time supply. We model an optimal division of generators between advanced commitment and real-time flexible reserves to minimize the expected cost of serving an uncertain demand. Next, we propose an incentive-compatible remuneration scheme with two key properties. First, the remuneration scheme incentivizes generators to reveal their true costs. Second, the scheme aligns generators’ incentives with the market operator’s optimal division of generators between advanced commitment and real-time reserve. We use a simple example to illustrate the market operator’s decision and the remuneration scheme. JEL Classification: C61, D47, D82, L94, Q4

The Energy JournalVol. 46(6)
The Ohio State University (US), Carnegie Mellon University (US)
National Science Foundation
Openalex Percentile: Top 26%
Smart Grid Energy Management
0.73
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Optimal and Incentive-compatible Scheduling of Flexible Generation in an Electricity Market — Ramteen Sioshansi, Yuzhou Jiang · The Energy Journal (2025) | TGRS Research Map | TGRS