Abstract
In the current energy perspective, home energy management (HEM) is an essential requirement for residential consumers due to excessive energy utilization by the household appliances. This paper proposes an improved energy and cost minimization scheme for residential consumers to shape peak load and utility tariffs. An efficient power management algorithm (PMA) has been developed with renewable energy sources (RESs) and energy storage systems (ESS). The PMA is executed using C++ software. The benefits of the RESs and ESS with the proposed PMA techniques are analyzed using three different scenarios. Extensive case studies are carried out to validate the effectiveness of the proposed energy and cost minimization scheme. It is demonstrated that the proposed method may save energy and costs up to 34% and 45% compared to the existing methods.
| Original language | English |
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| Title of host publication | 2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728152158 |
| DOIs | |
| State | Published - 16 Oct 2020 |
Publication series
| Name | 2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2020 |
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Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Energy storage systems (ESS)
- home energy management (HEM)
- renewable energy sources (RESs)
- smart grid
- smart meter
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Mechanical Engineering
- Electronic, Optical and Magnetic Materials