Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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Design and Analysis of Simulation Experiment of Bidding Game for Power Suppliers in Electricity Market Teaching

Authors
Juai Wu1, Shiyang Deng1, Yuanmeng Zhu1, Dongliang Xie2, Tengfei Zhang1, *
1College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
2NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, 211000, China
*Corresponding author. Email: tfzhang@126.com
Corresponding Author
Tengfei Zhang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_32How to use a DOI?
Keywords
Electricity market teaching; Experimental economics; Bidding game; Simulation experiment; Sim-CPSS
Abstract

As the most widely used secondary energy source, market-based trading of electricity energy will further improve the formation mechanism of electricity price, realize the optimal allocation of low-carbon electricity resources, and effectively promote the achievement of the carbon peak and carbon neutral goals. In order to make students majoring in electrical engineering understand the electricity market more intuitively, the spot market was taken as an example. The market power of power suppliers was analyzed theoretically, and an electricity spot price discovery method based on the experimental economics of the power suppliers’ bidding game was proposed. By using the simulation platform for cyber-physical-social system (Sim-CPSS) of NARI Group Corporation, the experiments were designed for students to participate in a realistic simulation experiment of electricity spot trading, in which a uniform clearing price market settlement method is used to simulate electricity spot trading. The experimental economics simulation will consolidate the students’ knowledge on electricity markets and form a feedback learning paradigm through the integration of theoretical study and practical application.

Copyright
© 2023 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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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-040-4_32
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_32How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Juai Wu
AU  - Shiyang Deng
AU  - Yuanmeng Zhu
AU  - Dongliang Xie
AU  - Tengfei Zhang
PY  - 2022
DA  - 2022/12/27
TI  - Design and Analysis of Simulation Experiment of Bidding Game for Power Suppliers in Electricity Market Teaching
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 210
EP  - 218
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_32
DO  - 10.2991/978-94-6463-040-4_32
ID  - Wu2022
ER  -