Multi-Agent Cooperation Mechanism of Hydropower Plants in Central China Based on Raiffa Solution

Man Jiang, Shunming Bai, Kun Xiao, Debin Fang

2022

Abstract

“Carbon peak” and “carbon neutrality” have been national development strategies in China. The power industry is crucial for achieving the carbon reduction targets. However, the dysfunctional competition of hydropower plants in Central China leads to massively inefficient utilization of clean hydropower, which also has an adverse impact on the consumption of wind power and photovoltaic energy. To solve this problem, this paper proposes the regional hydropower alliance mechanism based on the cooperative game model. By using the Raiffa solution algorithm, the models are performed based on the technical and economic parameters of typical provinces and river basins in Central China. The results demonstrate that the benefit from the hydropower cooperation alliances across river basins and the same river basins in Central China can be feasibly distributed. What’s more, the research has vital guiding significance on building an efficient regional power market order in Central China and promoting carbon emission reduction in power generation.

Paper Citation

in Harvard Style

Jiang M., Bai S., Xiao K. and Fang D. (2022). Multi-Agent Cooperation Mechanism of Hydropower Plants in Central China Based on Raiffa Solution. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 325-330. DOI: 10.5220/0011736100003607

in Bibtex Style

@conference{icpdi22,
author={Man Jiang and Shunming Bai and Kun Xiao and Debin Fang},
title={Multi-Agent Cooperation Mechanism of Hydropower Plants in Central China Based on Raiffa Solution},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={325-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011736100003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Multi-Agent Cooperation Mechanism of Hydropower Plants in Central China Based on Raiffa Solution
SN - 978-989-758-620-0
AU - Jiang M.
AU - Bai S.
AU - Xiao K.
AU - Fang D.
PY - 2022
SP - 325
EP - 330
DO - 10.5220/0011736100003607
PB - SciTePress