Application of Game Theory in Distribution Networks
Authors
Ting CHEN1, En XU1, Haowen WANG1, Nian JIANG2, Qian WU3, *
1State Grid Zhejiang Electric Power Co., Ltd. Zhuji Power Supply Company, Hangzohu, 311800, China
2T&D Power Research (Beijing) Technology Co., Ltd. Hangzhou Branch, HZ, 310012, China
3T & D Power Research (Beijing) Technology Co., Ltd, Beijing, 102206, China
*Corresponding author.
Email: wuqian7877772@126.com
Corresponding Author
Qian WU
Available Online 28 September 2023.
- DOI
- 10.2991/978-94-6463-260-6_51How to use a DOI?
- Keywords
- game theory models; distribution networks; power grid optimization; resource allocation
- Abstract
Game theory has become a powerful tool for analyzing and optimizing the complex interactions among multiple stakeholders in various fields, including distribution networks. This paper discusses the basic concepts of game theory and the specific application of game theory in distribution networks, proposes different game theory models and solutions. It provides some reference and guidance to help understand and apply game theory to solve problems related to power grid optimization, resource allocation and cooperation between different stakeholders in distribution networks.
- Copyright
- © 2024 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 - Ting CHEN AU - En XU AU - Haowen WANG AU - Nian JIANG AU - Qian WU PY - 2023 DA - 2023/09/28 TI - Application of Game Theory in Distribution Networks BT - Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023) PB - Atlantis Press SP - 394 EP - 405 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-260-6_51 DO - 10.2991/978-94-6463-260-6_51 ID - CHEN2023 ER -