Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling

Omowunmi Mary Longe, Khmaies Ouahada, Suvendi Rimer, Ashot N. Harutyunyan and Hendrik C. Ferreira
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Omowunmi Mary Longe: Department of Electrical & Electronics Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa
Khmaies Ouahada: Department of Electrical & Electronics Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa
Suvendi Rimer: Department of Electrical & Electronics Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa
Ashot N. Harutyunyan: VMware, Yerevan 0051, Armenia
Hendrik C. Ferreira: Department of Electrical & Electronics Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa

Sustainability, 2017, vol. 9, issue 1, 1-13

Abstract: The role of Demand Side Management (DSM) with Distributed Energy Storage (DES) has been gaining attention in recent studies due to the impact of the latter on energy management in the smart grid. In this work, an Energy Scheduling and Distributed Storage (ESDS) algorithm is proposed to be installed into the smart meters of Time-of-Use (TOU) pricing consumers possessing in-home energy storage devices. Source of energy supply to the smart home appliances was optimized between the utility grid and the DES device depending on energy tariff and consumer demand satisfaction information. This is to minimize consumer energy expenditure and maximize demand satisfaction simultaneously. The ESDS algorithm was found to offer consumer-friendly and utility-friendly enhancements to the DSM program such as energy, financial, and investment savings, reduced/eliminated consumer dissatisfaction even at peak periods, Peak-to-Average-Ratio (PAR) demand reduction, grid energy sustainability, socio-economic benefits, and other associated benefits such as environmental-friendliness.

Keywords: Demand Side Management (DSM); Distributed Energy Storage (DES); Energy Scheduling and Distributed Storage (ESDS) algorithm; energy expenditure; Time-of-Use (TOU) pricing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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