# A Study of Energy Trading in a Low-Voltage Network: Centralised and Distributed Approaches

arXiv: https://arxiv.org/abs/1809.06974 · HTML: https://mlsanity.com/paper/1809.06974/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Sep 2018.

## Built on by (most cited first, 2 of 2)

- [Reinforcement Learning-Based Cooperative P2P Power Trading between DC Nanogrid Clusters with Wind and PV Energy Resources](https://mlsanity.com/paper/2209.07744/) (2022)
- [Peer-to-Peer Energy Trading in Dairy Farms using Multi-Agent Reinforcement Learning](https://mlsanity.com/paper/2511.23148/) (2025)

## Abstract (arXiv)

Over the past years, distributed energy resources (DER) have been the object of many studies, which recognise and establish their emerging role in the future of power systems. However, the implementation of many scenarios and mechanism are still challenging. This paper provides an overview of a local energy market and explores the approaches in which consumers and prosumers take part in this market. Therefore, the purpose of this paper is to review the benefits of local markets for users. This study assesses the performance of distributed and centralised trading mechanisms, comparing scenarios where the objective of the exchange may be based on individual or social welfare. Simulation results show the advantages of local markets and demonstrate the importance of advancing the understanding of local markets.