DRO-MPC-based data-driven approach to real-time economic dispatch for islanded microgrids

Cheng Lyu, Youwei Jia, Zhao Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Rechargeable battery banks have been widely utilised in islanded microgrids as energy storage systems to complement the instant power imbalance in real-time. However, the cycle degradation becomes an unavoidable concern of the battery energy storage systems (BESSs) in achieving microgrid economic dispatch (ED). In this study, a novel degradation cost model based on an online auction algorithm is proposed for real-time management of BESS. To settle the intermittent distributed sources in real-time operation, a Wasserstein ambiguity set is adopted to characterise the uncertainties. Meanwhile, the authors newly reformulate the real-time microgrid ED as a two-stage distributionally robust optimisation (DRO) problem. To improve the tractability and scalability of the DRO problem, a model predictive control (MPC)-based data-driven approach is proposed, in which a novel affine policy namely extended event-wise affine adaption is properly employed. Through extensive case studies, the numerical results demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)5816-5822
Number of pages7
JournalIET Generation, Transmission and Distribution
Volume14
Issue number24
DOIs
Publication statusPublished - 18 Dec 2020

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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