Work

An Energy Trading Model with Battery Social Welfare Assessment for Local Energy Market

Year: 2025

Type: article

Abstract: The global energy transition towards sustainable and decentralized energy systems has highlighted the importance of optimizing Local Energy Markets (LEM). This paper presents a mathematical model to solve energy trading problem between the nodes in a microgrid within a LEM with an objective function of maximizing the social welfare of the microgrid. In this model, we developed a utility function that represents the willingness of the batteries to sell their energy, promoting their involvement in the LEM. Additionally, we proposed a pricing method that differentiates between various types of prices (internal prices, battery prices, and main grid prices) to encourage nodes to participate in the LEM rather than relying on the main grid. Results indicate that the integration of batteries into the LEM reduces energy costs for each node and ensures self-sufficiency.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.09.183

Authors: Akrem Ben Haj Mouldi, Maroua Nouiri, Olivier Cardin

Institutions: École Centrale de Nantes, Centre National de la Recherche Scientifique, Laboratoire des Sciences du Numérique de Nantes, Nantes Université

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: diamond

Funder: Agence Nationale de la Recherche