Demand response supported energy management framework for residential users

Harikrishnan, G.R., Sreedharan, Sasidharan, Badharudheen, P., Joseph, Tibin ORCID: https://orcid.org/0000-0003-4647-1118, Chandran, Chittesh Veni and Joseph, Sebin 2024. Demand response supported energy management framework for residential users. Presented at: IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE), 17-20 December 2023. Proceedings 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE). IEEE, 10.1109/PESGRE58662.2023.10404086

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Abstract

This paper proposes a smart home energy management system (EMS) designed to automatically adjust the energy requirements as per the availability indicator provided by the Distribution Company (DISCO). The system considers bidirectional end-user parameters, comfort values, and thresholds for a typical residential community microgrid. The energy management system formulates an effective strategy by considering user-side comfort, threshold parameters, and utility-side external signals. The utility-side external signal depends on load reduction requests, signal duration, and signal type. The system is tuned according to utility reduction requests to achieve peak load reduction during specific hours, which helps lower overall power consumption. Two main strategies are employed for this purpose. Comfort Value-based Strategy, where the user priority for each appliance is determined based on the comfort value, allowing the system to optimize energy usage while considering user preferences. Power Consumption-based Strategy, which analyzes the appliance power consumption patterns, this strategy is implemented, proving to be the best option for dealing with low-priority signals from the utility grid. The proposed EMS enables utilities to efficiently manage peak power consumption while empowering users to reduce their electricity bills and optimize energy consumption. This integrated approach creates a win-win situation, benefitting both the utility companies and end users in the smart home environment.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IEEE
ISBN:	979-8-3503-1057-3
Last Modified:	19 Mar 2024 10:15
URI:	https://orca.cardiff.ac.uk/id/eprint/166842

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