An embedded accelerated decentralized optimization algorithm with application to energy communities

doi:10.1016/j.conengprac.2026.106920

An embedded accelerated decentralized optimization algorithm with application to energy communities

2026-03-21

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Reza Rahimi Baghbadorani

M

Michela Robba

DOI：10.1016/j.conengprac.2026.106920

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Abstract

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• A novel decentralized framework for bilevel energy community management is proposed. • Original bilevel REC problem is reformulated into a fully separable QP structure. • A tailored ADMM with Nesterov acceleration ensures rapid and stable convergence. • Real -time feasibility is validated on low -power embedded microcontrollers. • The approach reduces total energy costs by 16% through shared energy maximization.

Keywords:

decentralized optimization

energy communities

ADMM

Nesterov acceleration

quadratic programming

An embedded accelerated decentralized optimization algorithm with application to energy communities

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