Demand-Response Based Energy Advisor for Household Energy Management

Fayiz Alfaverh, Mouloud Denai, Khaldoon Alfaverh

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)
141 Downloads (Pure)

Abstract

Home energy management systems (HEMS) are set to play a key role in the future smart grid (SG). HEMS concept enables residential customers to actively participate in demand response programs (DR) to control their energy usage, reduce peak demand and therefore contribute to improve the performance and reliability of the grid. The aim of this paper is to propose an energy management strategy for residential end-consumers. In this framework, a demand response strategy is developed to reduce home energy consumption. The proposed algorithm seeks to minimise peak demand by scheduling household appliances operation and shifting controllable loads during peak hours, when electricity prices are high, to off-peak periods, when electricity prices are lower without affecting the customer’s preferences. The overall system is simulated using MATLAB/Simulink and the results demonstrate the effectiveness of the proposed control strategy in managing the daily household energy consumption.
Original languageEnglish
Publication statusPublished - 31 Jul 2019
EventWorld Conference on Smart Trends in Systems, Security & Sustainability - London, UK, London, United Kingdom
Duration: 30 Jul 201931 Jul 2019
https://worlds4.co.uk/index.php

Conference

ConferenceWorld Conference on Smart Trends in Systems, Security & Sustainability
Abbreviated titleWorld S4
Country/TerritoryUnited Kingdom
CityLondon
Period30/07/1931/07/19
Internet address

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