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Affinely adjustable robust energy management system for smart homes

  • Cuo Zhang*
  • , Zhao Yang Dong
  • , Xia Yin
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

As plentiful roof-top photovoltaic (PV) panels and battery energy storage systems (BESSs) have been installed in residential houses, smart homes which provide reliable and cost-efficient energy for customers have been increasingly developing. This study proposes a smart home coordinated operation framework consisting of day-ahead scheduling of a BESS and deferrable appliances as well as real-time BESS affinely adjustable control. The scheduling aims to minimise daily energy usage bills and the affinely adjustable control aims to eliminate fluctuations of intermittent PV output and at-will uncertain appliances. This study proposes an affinely adjustable robust energy management system (AAREMS) which can optimise the day-ahead scheduling with full consideration of the real-time BESS control under uncertainties. Moreover, affinely adjustable robust counterpart formulation is developed to solve the AAREMS under the worst case of real-time uncertainty realisation. The simulation results verify the high efficiency of the proposed AAREMS in minimising the energy usage bills for the customers and providing certain and invariable power injection for the utility grid. © The Institution of Engineering and Technology 2020.
Original languageEnglish
Pages (from-to)2955-2965
JournalIET Renewable Power Generation
Volume14
Issue number15
Online published18 Nov 2020
DOIs
Publication statusPublished - Nov 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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