Potential and challenges of Peer-To-Peer (P2P) electrical energy trading: investigation and case study

This paper explores the potential and challenges associated with Peer-to-Peer (P2P) electrical energy trading, focusing on both theoretical investigation and practical application through a comprehensive case study. By examining the interactions between prosumers (those who both produce and consume energy) and consumers, we employ utility functions to model these interactions. Optimization is achieved using a non-cooperative game theory approach coupled with real-time pricing mechanisms to reflect market dynamics accurately. Our analysis ensures feasibility and reliability by considering crucial factors such as energy balance and grid capacity constraints, which are essential for maintaining system stability. The simulation results demonstrate the effectiveness of our proposed method. These results highlight the significant potential of P2P trading to enhance overall energy efficiency, promote decentralized energy management, and reduce reliance on traditional energy sources. Furthermore, this study provides detailed insights into maximizing total utility by determining optimal prices and energy trades, ultimately showcasing the transformative impact of P2P trading on real-time energy market operations.

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Publication Details

Journal
STUDIES IN ENGINEERING AND EXACT SCIENCES
Published
2024-08-08
DOI
https://doi.org/10.54021/seesv5n2-083
Primary Topic
Smart Grid Energy Management
Type
article
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article

Potential and challenges of Peer-To-Peer (P2P) electrical energy trading: investigation and case study

Charaf Abdelkarim Mosbah
STUDIES IN ENGINEERING AND EXACT SCIENCES
Smart Grid Energy Management
article

Potential and challenges of Peer-To-Peer (P2P) electrical energy trading: investigation and case study

Charaf Abdelkarim Mosbah
article en

Abstract

This paper explores the potential and challenges associated with Peer-to-Peer (P2P) electrical energy trading, focusing on both theoretical investigation and practical application through a comprehensive case study. By examining the interactions between prosumers (those who both produce and consume energy) and consumers, we employ utility functions to model these interactions. Optimization is achieved using a non-cooperative game theory approach coupled with real-time pricing mechanisms to reflect market dynamics accurately. Our analysis ensures feasibility and reliability by considering crucial factors such as energy balance and grid capacity constraints, which are essential for maintaining system stability. The simulation results demonstrate the effectiveness of our proposed method. These results highlight the significant potential of P2P trading to enhance overall energy efficiency, promote decentralized energy management, and reduce reliance on traditional energy sources. Furthermore, this study provides detailed insights into maximizing total utility by determining optimal prices and energy trades, ultimately showcasing the transformative impact of P2P trading on real-time energy market operations.

STUDIES IN ENGINEERING AND EXACT SCIENCESVol. 5(2)
Affordable and clean energy
Openalex Percentile: Top 90%
Smart Grid Energy Management
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