New Business Entity Participation Models in Electricity Market Transactions

DOI

10.2991/978-94-6239-774-3_19How to use a DOI?

Keywords

New types of business entities; Aggregation-based models; Conditioned risk value

Abstract

With the deepening of power market reforms, the participation of new market entities such as virtual power plants and load aggregators in multi-market transactions has become a significant trend. This paper establishes a bidding model for aggregators based on multi-market coordination, coordinating and optimizing bidding strategies across the electricity energy market, frequency regulation market, and peak shaving market. It further incorporates the conditional value at risk (CVaR) measurement method to develop a two-level optimization dispatch model that incorporates risk aversion, achieving an effective balance between expected returns and risks. Case study analysis demonstrates that the multi-market coordinated strategy yields higher returns compared to participation in a single market, validating the model’s effectiveness and economic benefits.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Songtai Yu
AU  - Nan Zhang
AU  - Shuo Liu
AU  - Hui Huang
AU  - Meng Song
PY  - 2026
DA  - 2026/09/11
TI  - New Business Entity Participation Models in Electricity Market Transactions
BT  - Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026
PB  - Atlantis Press
SP  - 216
EP  - 232
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-774-3_19
DO  - 10.2991/978-94-6239-774-3_19
ID  - Yu2026
ER  -