Design and Analysis of Simulation Experiment of Bidding Game for Power Suppliers in Electricity Market Teaching
- 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.
Cite this article
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 -