Minimization of Residential Electricity Bill using EMS

Husnu Alay*, Cenk Andic, Esra Aydin, Mikail Purlu, Belgin Emre Turkay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As global energy demand continues to rise, integrating renewable resources has emerged as a practical solution. However, handling the intermittency of renewables presents a challenge. An effective approach is optimizing energy management, specifically Solar PV panels and energy storage, alongside the primary utility. In this study, we use linear optimization to minimize residential electricity bills over one year. The approach schedules energy use based on solar power availability, energy storage system (ESS) state-of-energy (SoE), and dynamic tariffs, efficiently utilizing resources. Testing the impact of a smart energy management system (EMS) across three scenarios shows significant cost reductions compared to static tariffs, proving the EMS's real time benefits.

Original languageEnglish
Title of host publication14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350360493
DOIs
Publication statusPublished - 2023
Event14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Virtual, Bursa, Turkey
Duration: 30 Nov 20232 Dec 2023

Publication series

Name14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings

Conference

Conference14th International Conference on Electrical and Electronics Engineering, ELECO 2023
Country/TerritoryTurkey
CityVirtual, Bursa
Period30/11/232/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

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