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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

Postal Subscription Code 80-972

2018 Impact Factor: 1.701

Front. Energy    2019, Vol. 13 Issue (4) : 715-730    https://doi.org/10.1007/s11708-018-0538-2
RESEARCH ARTICLE
Smart residential energy management system for demand response in buildings with energy storage devices
S. L. ARUN, M. P. SELVAN()
Hybrid Electrical Systems Laboratory, Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli-620015, India
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Abstract

In the present scenario, the utilities are focusing on smart grid technologies to achieve reliable and profitable grid operation. Demand side management (DSM) is one of such smart grid technologies which motivate end users to actively participate in the electricity market by providing incentives. Consumers are expected to respond (demand response (DR)) in various ways to attain these benefits. Nowadays, residential consumers are interested in energy storage devices such as battery to reduce power consumption from the utility during peak intervals. In this paper, the use of a smart residential energy management system (SREMS) is demonstrated at the consumer premises to reduce the total electricity bill by optimally time scheduling the operation of household appliances. Further, the SREMS effectively utilizes the battery by scheduling the mode of operation of the battery (charging/floating/discharging) and the amount of power exchange from the battery while considering the variations in consumer demand and utility parameters such as electricity price and consumer consumption limit (CCL). The SREMS framework is implemented in Matlab and the case study results show significant yields for the end user.

Keywords smart grid      demand side management (DSM)      demand response (DR)      smart building      smart appliances      energy storage     
Corresponding Author(s): M. P. SELVAN   
Just Accepted Date: 20 March 2018   Online First Date: 04 June 2018    Issue Date: 26 December 2019
 Cite this article:   
S. L. ARUN,M. P. SELVAN. Smart residential energy management system for demand response in buildings with energy storage devices[J]. Front. Energy, 2019, 13(4): 715-730.
 URL:  
https://academic.hep.com.cn/fie/EN/10.1007/s11708-018-0538-2
https://academic.hep.com.cn/fie/EN/Y2019/V13/I4/715
Fig.1  Architecture of proposed SREMS
Fig.2  Flowchart of proposed SREMS
Fig.3  Rescheduling the battery operation
S. No Load Power rating/kW
1 Fan 0.10
2 Fluorescent lamp 0.04
3 Compact fluorescent lamp (CFL) 0.02
4 Television (TV) 0.25
5 Mobile/laptop charging 0.05
Tab.1  ENDLs
S. No Load Power rating/kW
1 AC-1 1.5
2 Water heater 2.0
3 Refrigerator 0.5
4 AC-2 1.0
Tab.2  INDLs
S. No Load Power rating/kW Interruptive status
1 Cloth washer 0.8 1
2 Cloth dryer 2.7 1
3 Dish washer 2.1 0
4 Well pump 1.5 0
5 PHEV charging 2.3 0
6 Grinder 0.5 1
Tab.3  DLs
S. No Parameter Rating
1 Capacity 200 Ah
2 Voltage 12V
3 Charging efficiency 85%
4 Discharging efficiency 95%
5 SOC limit (30–90)%
6 Charging current limit (5–20)% of rated capacity
7 Discharging current limit (0–20)% of rated capacity
Tab.4  Battery specifications
S. No Interval Duration/min
1 Non-deferrable load 1
2 Battery scheduling 5
3 Deferrable load 15
4 Pricing 60
Tab.5  Duration of intervals
Fig.4  Comparison of maximum demand
Fig.5  Comparison of averaged demand variation
Fig.6  Demand variation over a week in different months
Fig.7  Components of energy cost per day in different months
Fig.8  Battery SOC variation for different battery ratings at CCL= 2 kW
Fig.9  Battery SOC variation for different battery ratings at CCL= 4 kW
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