Market Implications of Alternative Operating Reserve Modeling in Wholesale Electricity Markets

Pricing and settlement mechanisms are crucial for efficient resource allocation, investment incentives, market competition, and regulatory oversight. In the United States, Regional Transmission Operators (RTOs) adopts a uniform pricing scheme that hinges on the marginal costs of supplying additional electricity. This study investigates the pricing and settlement impacts of alternative reserve constraint modeling, highlighting how even slight variations in the modeling of constraints can drastically alter market clearing prices, reserve quantities, and revenue outcomes. Focusing on the diverse market designs and assumptions in ancillary services by U.S. RTOs, particularly in relation to capacity sharing and reserve substitutions, the research examines four distinct models that combine these elements based on a large-scale synthetic power system test data. Our study provides a critical insight into the economic implications and the underlying factors of these alternative reserve constraints through market simulations and data analysis.

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Publication Details

Journal
IEEE Transactions on Energy Markets Policy and Regulation
Published
2024-10-25
DOI
https://doi.org/10.1109/tempr.2024.3485948
Citations
1
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.21
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Market Implications of Alternative Operating Reserve Modeling in Wholesale Electricity Markets

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1 citations
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article

Market Implications of Alternative Operating Reserve Modeling in Wholesale Electricity Markets

Feng Qiu, Yonghong Chen, Alinson Xavier, Fengyu Wang, Hamid Davoudi, Di Shi
article en
1 citations

Abstract

Pricing and settlement mechanisms are crucial for efficient resource allocation, investment incentives, market competition, and regulatory oversight. In the United States, Regional Transmission Operators (RTOs) adopts a uniform pricing scheme that hinges on the marginal costs of supplying additional electricity. This study investigates the pricing and settlement impacts of alternative reserve constraint modeling, highlighting how even slight variations in the modeling of constraints can drastically alter market clearing prices, reserve quantities, and revenue outcomes. Focusing on the diverse market designs and assumptions in ancillary services by U.S. RTOs, particularly in relation to capacity sharing and reserve substitutions, the research examines four distinct models that combine these elements based on a large-scale synthetic power system test data. Our study provides a critical insight into the economic implications and the underlying factors of these alternative reserve constraints through market simulations and data analysis.

IEEE Transactions on Energy Markets Policy and RegulationVol. 3(1)
New Mexico State University (US), Argonne National Laboratory (US), National Laboratory of the Rockies (US)
Openalex Percentile: Top 47%
Electric Power System Optimization
0.21
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