Cost-Optimization for Win-Win P2P Energy Systems
Paper i proceeding, 2023

Attracted by a cheaper bill, more and more energy customers invest in local electricity generation and storage. Recent research advocates Peer-to-Peer (P2P) energy sharing as a way to make the most of the local energy resources, further reduc- ing the bill of each participating end-user. However, optimizing the usage of the distributed resources is either directed to reduce costs for the customers (such as consumers and prosumers) or the grid company, and it is challenging to make them both win. We develop and analyze in this work a realistic model to implement P2P energy sharing systems that are attractive both to customers and to the grid companies. Considering that all actors are only benefits-driven, we provide mechanisms for achieving win-win P2P energy communities by developing adapted optimization procedures. Through an experimental study, we show that win- win configurations are reachable under a variety of possible scenarios in terms of distribution of energy resources. Our findings include precise figures following the current energy landscape and advocate that all actors can profit from more distributed renewable resources, making them a key driving force of tomorrow’s energy systems.

peak-demand

P2P energy sharing

energy communities

cost-optimization

win-win energy policies

Författare

Romaric Duvignau

Nätverk och System

Vincenzo Massimiliano Gulisano

Nätverk och System

Marina Papatriantafilou

Nätverk och System

Proceedings of 2023 IEEE PES Innovative Smart Grid Technologies Conference North America, ISGT-NA 2023

2023 North American Innovative Smart Grid Technologies Conference
Washington DC, USA,

TANDEM: Intelligent hantering av energidata och beslutsfattande i realtid

Energimyndigheten (SESBC,TANDEM), 2022-09-01 -- 2026-12-21.

DEEP: Dynamic and Efficient Energy-sharing P2P networks

Chalmers, 2021-06-01 -- 2021-12-31.

INDEED: Information and Data-processing in Focus for Energy Efficiency

Chalmers, 2020-01-01 -- .

Drivkrafter

Hållbar utveckling

Styrkeområden

Energi

Ämneskategorier

Energisystem

Datavetenskap (datalogi)

Mer information

Skapat

2023-03-08