Control Engineering Practice: A novel decentralized cooperative architecture for energy storage systems providing frequency support services

Virginia Casella, Giulio Ferro, Alessandra Parisio, Michela Robba, Mansueto Rossi

Research output: Contribution to journalArticlepeer-review

Abstract

This paper introduces an innovative decentralized architecture designed specifically for the dynamic droop assignment of aggregated and cooperative Energy Storage Systems (ESS) within the context of frequency support services. The primary objective is to address the challenges associated with efficient droop curve sharing among ESS units, considering operational limits and global power/frequency curve satisfaction as coupling constraints. The overall optimization problem has been tackled using an ADMM (Alternating Direction Method of Multipliers)-based decentralized optimization algorithm resulting in a cooperative optimization strategy.
Original languageEnglish
JournalControl Engineering Practice
Publication statusAccepted/In press - 16 Dec 2024

Keywords

  • Battery energy storage
  • Dynamic regulation
  • Decentralized optimization
  • Droop control

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