Research on Day-Ahead Bidding Strategies in Inter-Provincial Spot Markets Based on Game Theory

In recent years, Anhui's electricity consumption has grown rapidly, and there is an urgent need to carry out inter provincial spot trading. In this study, we aim to reduce Anhui's electricity purchase costs in the inter provincial spot market. Firstly, we construct a generator bidding model using the generator cost function. Then, we construct a day ahead bidding model for purchaser that considers adjustable resources within the province. Finally, we use the MADDPG algorithm to simulate the bidding behavior of purchaser. The effectiveness of the proposed model was validated by using the simulation results as an example.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878759
Primary Topic
Digital Marketing and Social Media
Type
article
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Research on Day-Ahead Bidding Strategies in Inter-Provincial Spot Markets Based on Game Theory

Shangbing Gao, Youliang Li, Tianyu Chen, Xiaoli Luan et al.
Digital Marketing and Social Media
article

Research on Day-Ahead Bidding Strategies in Inter-Provincial Spot Markets Based on Game Theory

Shangbing Gao, Youliang Li, Tianyu Chen, Xiaoli Luan, Jin Huang, Weiheng Gao
article en

Abstract

In recent years, Anhui's electricity consumption has grown rapidly, and there is an urgent need to carry out inter provincial spot trading. In this study, we aim to reduce Anhui's electricity purchase costs in the inter provincial spot market. Firstly, we construct a generator bidding model using the generator cost function. Then, we construct a day ahead bidding model for purchaser that considers adjustable resources within the province. Finally, we use the MADDPG algorithm to simulate the bidding behavior of purchaser. The effectiveness of the proposed model was validated by using the simulation results as an example.

State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 56%
Digital Marketing and Social Media
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