Smart Household Energy Management by Employing EV and BESS as Enabling Technologies

Shalini Pal; Rajesh Kumar

doi:10.1109/IICPE.2018.8709595

Smart Household Energy Management by Employing EV and BESS as Enabling Technologies

Shalini Pal
, Rajesh Kumar

Malaviya National Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

As smart grid enabler, demand response programs have been a major attraction for reducing the peak demand in the electrical power system. The household user can contribute to significant potential for reduction in energy demand during peak hours. This paper is focused on the energy management of a single household equipped with several assets including home appliances, electric vehicle (EV) and battery energy storage system (BESS). A small-scale rooftop solar photovoltaic (PV) generation is also a part of smart household. The BESS and PV are employed for charging home appliances, and if any surplus energy is available, it can fed back to grid. The optimization problem of smart household energy management is developed as a mixed integer linear programming (MILP). The electricity consumer is registered for real time prices based demand re- sponse programs by the load serving entity (LSE). The simulation results have exposed the significant contribution to gaining user cost benefits and peak to average ratio minimization for the LSE. By employing proposed approach the cost benefit of 87.06 Cents is achieved with 34.4 % peak to average ratio.

Original language	English
Title of host publication	8th IEEE India International Conference on Power Electronics, IICPE 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538649961
DOIs	https://doi.org/10.1109/IICPE.2018.8709595
Publication status	Published - 2 Jul 2018
Externally published	Yes
Event	8th IEEE India International Conference on Power Electronics, IICPE 2018 - Jaipur, India Duration: 13 Dec 2018 → 15 Dec 2018

Publication series

Name	India International Conference on Power Electronics, IICPE
Volume	2018-December
ISSN (Print)	2160-3162
ISSN (Electronic)	2160-3170

Conference

Conference	8th IEEE India International Conference on Power Electronics, IICPE 2018
Country/Territory	India
City	Jaipur
Period	13/12/18 → 15/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Battery system
Demand response
Electric vehicle
Home energy management system
Real time pricing
Solar photovoltaic

ASJC Scopus subject areas

Energy Engineering and Power Technology
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IICPE.2018.8709595

Cite this

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title = "Smart Household Energy Management by Employing EV and BESS as Enabling Technologies",

abstract = "As smart grid enabler, demand response programs have been a major attraction for reducing the peak demand in the electrical power system. The household user can contribute to significant potential for reduction in energy demand during peak hours. This paper is focused on the energy management of a single household equipped with several assets including home appliances, electric vehicle (EV) and battery energy storage system (BESS). A small-scale rooftop solar photovoltaic (PV) generation is also a part of smart household. The BESS and PV are employed for charging home appliances, and if any surplus energy is available, it can fed back to grid. The optimization problem of smart household energy management is developed as a mixed integer linear programming (MILP). The electricity consumer is registered for real time prices based demand re- sponse programs by the load serving entity (LSE). The simulation results have exposed the significant contribution to gaining user cost benefits and peak to average ratio minimization for the LSE. By employing proposed approach the cost benefit of 87.06 Cents is achieved with 34.4 \% peak to average ratio.",

keywords = "Battery system, Demand response, Electric vehicle, Home energy management system, Real time pricing, Solar photovoltaic",

author = "Shalini Pal and Rajesh Kumar",

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year = "2018",

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doi = "10.1109/IICPE.2018.8709595",

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Pal, S & Kumar, R 2018, Smart Household Energy Management by Employing EV and BESS as Enabling Technologies. in 8th IEEE India International Conference on Power Electronics, IICPE 2018., 8709595, India International Conference on Power Electronics, IICPE, vol. 2018-December, IEEE Computer Society, 8th IEEE India International Conference on Power Electronics, IICPE 2018, Jaipur, India, 13/12/18. https://doi.org/10.1109/IICPE.2018.8709595

Smart Household Energy Management by Employing EV and BESS as Enabling Technologies. / Pal, Shalini; Kumar, Rajesh.
8th IEEE India International Conference on Power Electronics, IICPE 2018. IEEE Computer Society, 2018. 8709595 (India International Conference on Power Electronics, IICPE; Vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pal, Shalini

AU - Kumar, Rajesh

PY - 2018/7/2

Y1 - 2018/7/2

N2 - As smart grid enabler, demand response programs have been a major attraction for reducing the peak demand in the electrical power system. The household user can contribute to significant potential for reduction in energy demand during peak hours. This paper is focused on the energy management of a single household equipped with several assets including home appliances, electric vehicle (EV) and battery energy storage system (BESS). A small-scale rooftop solar photovoltaic (PV) generation is also a part of smart household. The BESS and PV are employed for charging home appliances, and if any surplus energy is available, it can fed back to grid. The optimization problem of smart household energy management is developed as a mixed integer linear programming (MILP). The electricity consumer is registered for real time prices based demand re- sponse programs by the load serving entity (LSE). The simulation results have exposed the significant contribution to gaining user cost benefits and peak to average ratio minimization for the LSE. By employing proposed approach the cost benefit of 87.06 Cents is achieved with 34.4 % peak to average ratio.

AB - As smart grid enabler, demand response programs have been a major attraction for reducing the peak demand in the electrical power system. The household user can contribute to significant potential for reduction in energy demand during peak hours. This paper is focused on the energy management of a single household equipped with several assets including home appliances, electric vehicle (EV) and battery energy storage system (BESS). A small-scale rooftop solar photovoltaic (PV) generation is also a part of smart household. The BESS and PV are employed for charging home appliances, and if any surplus energy is available, it can fed back to grid. The optimization problem of smart household energy management is developed as a mixed integer linear programming (MILP). The electricity consumer is registered for real time prices based demand re- sponse programs by the load serving entity (LSE). The simulation results have exposed the significant contribution to gaining user cost benefits and peak to average ratio minimization for the LSE. By employing proposed approach the cost benefit of 87.06 Cents is achieved with 34.4 % peak to average ratio.

KW - Battery system

KW - Demand response

KW - Electric vehicle

KW - Home energy management system

KW - Real time pricing

KW - Solar photovoltaic

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M3 - Conference contribution

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PB - IEEE Computer Society

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Y2 - 13 December 2018 through 15 December 2018

ER -

Smart Household Energy Management by Employing EV and BESS as Enabling Technologies

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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