Distributed demand side management with battery storage for smart home energy scheduling
- Authors: Longe, Omowunmi Mary , Ouahada, Khmaies , Rimer, Suvendi , Harutyunyan, Ashot N. , Ferreira, Hendrik C.
- Date: 2017
- Subjects: Demand Side Management (DSM) , Distributed Energy Storage (DES) , Energy Scheduling and Distributed Storage (ESDS) algorithm
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/232094 , uj:23667 , Citation: Longe, O.M. et al. 2017. Distributed demand side management with battery storage for smart home energy scheduling. Sustainability, 8(x):1-4.
- Description: 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.
- Full Text:
Optimization of energy expenditure in smart homes under Time-of-Use pricing
- Authors: Longe, Omowunmi Mary , Ouahada, Khmaies , Rimer, Suvendi , Ferreira, Hendrik C.
- Date: 2015
- Subjects: Daily Maximum Energy , Scheduling (DMES) , Demand Side Management (DSM)
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/87767 , uj:19623 , Citation: Longe, O.M. et al. 2015. Optimization of energy expenditure in smart homes under Time-of-Use pricing.
- Description: Abstract: Growing peak demand has necessitated the introduction of Time-of-Use (TOU) pricing to Demand Side Management (DSM) in order to cause some peak demand to be shifted from peak to off-peak periods. Therefore, in this work, a Daily Maximum Energy Scheduling (DMES) - DSM technique is proposed. The DMES-DSM device is proposed to be installed into consumers’ smart meters and schedule energy consumption for smart appliances. The DMES–DSM technique was verified with real household data and shown to be capable of optimizing households’ monthly energy expenditure below approved national energy expenditure threshold and also offer Peak Demand Reduction (PDR). It offered the household considered an average monthly financial savings of 22.44% and 36.73% in summer and winter respectively on electricity bills. Utility can also benefit from the PDR for grid stability and sustainability. Also, the optimized consumption pattern differs only slightly from initial consumption pattern for enhanced consumer satisfaction.
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