Multi-energy conversion based on game theory in the industrial interconnection.
The multi-energy conversion system (MCS) plays an important role in improving the utilization of energy resources and realizing the energy transition. With the application of the new generation of information technologies, the new MCS can realize real-time information interaction, multi-energy colla...
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0245622 |
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doaj-9b7e2ca595e04ae195de79b2310773532021-06-19T05:30:10ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01161e024562210.1371/journal.pone.0245622Multi-energy conversion based on game theory in the industrial interconnection.Jianjia HeXiumeng WuJunxiang LiShengxue HeThe multi-energy conversion system (MCS) plays an important role in improving the utilization of energy resources and realizing the energy transition. With the application of the new generation of information technologies, the new MCS can realize real-time information interaction, multi-energy collaboration, and real-time demand response, in which energy suppliers can intelligently motivate consumers' energy use behavior. In this paper, an MCS coupled with a cloud platform is proposed to address information explosion and data security issues. Due to the development of Internet technology, the increasing energy data, and the serious energy coupling, it is difficult for traditional optimization methods to deal with the interaction between participants of the MCS. Therefore, the non-cooperative game is used to formulate the interactions between participants with the aim of maximizing the energy suppliers' profit and minimizing the customers' cost. It is proved that the game model is an ordinary game with one Nash equilibrium. The simulation was performed with a gradient projection algorithm and the results show that the proposed MCS improves energy utilization efficiency through energy conversion while ensuring consumer satisfaction, and benefits both the customers and suppliers by reducing the energy consumption cost and the peak load demand, which effectively improve the supply quality and enrich the energy consumption patterns.https://doi.org/10.1371/journal.pone.0245622 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jianjia He Xiumeng Wu Junxiang Li Shengxue He |
spellingShingle |
Jianjia He Xiumeng Wu Junxiang Li Shengxue He Multi-energy conversion based on game theory in the industrial interconnection. PLoS ONE |
author_facet |
Jianjia He Xiumeng Wu Junxiang Li Shengxue He |
author_sort |
Jianjia He |
title |
Multi-energy conversion based on game theory in the industrial interconnection. |
title_short |
Multi-energy conversion based on game theory in the industrial interconnection. |
title_full |
Multi-energy conversion based on game theory in the industrial interconnection. |
title_fullStr |
Multi-energy conversion based on game theory in the industrial interconnection. |
title_full_unstemmed |
Multi-energy conversion based on game theory in the industrial interconnection. |
title_sort |
multi-energy conversion based on game theory in the industrial interconnection. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2021-01-01 |
description |
The multi-energy conversion system (MCS) plays an important role in improving the utilization of energy resources and realizing the energy transition. With the application of the new generation of information technologies, the new MCS can realize real-time information interaction, multi-energy collaboration, and real-time demand response, in which energy suppliers can intelligently motivate consumers' energy use behavior. In this paper, an MCS coupled with a cloud platform is proposed to address information explosion and data security issues. Due to the development of Internet technology, the increasing energy data, and the serious energy coupling, it is difficult for traditional optimization methods to deal with the interaction between participants of the MCS. Therefore, the non-cooperative game is used to formulate the interactions between participants with the aim of maximizing the energy suppliers' profit and minimizing the customers' cost. It is proved that the game model is an ordinary game with one Nash equilibrium. The simulation was performed with a gradient projection algorithm and the results show that the proposed MCS improves energy utilization efficiency through energy conversion while ensuring consumer satisfaction, and benefits both the customers and suppliers by reducing the energy consumption cost and the peak load demand, which effectively improve the supply quality and enrich the energy consumption patterns. |
url |
https://doi.org/10.1371/journal.pone.0245622 |
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