Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability
In this paper, we proposed a home energy management system (HEMS) that includes photovoltaic (PV), electric vehicle (EV), and energy storage systems (ESS). The proposed HEMS fully utilizes the PV power in operating domestic appliances and charging EV/ESS. The surplus power is fed back to the grid to...
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MDPI AG
2021-12-01
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Online Access: | https://www.mdpi.com/1996-1073/14/24/8557 |
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author | Arshad Mohammad Mohd Zuhaib Imtiaz Ashraf Marwan Alsultan Shafiq Ahmad Adil Sarwar Mali Abdollahian |
author_facet | Arshad Mohammad Mohd Zuhaib Imtiaz Ashraf Marwan Alsultan Shafiq Ahmad Adil Sarwar Mali Abdollahian |
author_sort | Arshad Mohammad |
collection | DOAJ |
description | In this paper, we proposed a home energy management system (HEMS) that includes photovoltaic (PV), electric vehicle (EV), and energy storage systems (ESS). The proposed HEMS fully utilizes the PV power in operating domestic appliances and charging EV/ESS. The surplus power is fed back to the grid to achieve economic benefits. A novel charging and discharging scheme of EV/ESS is presented to minimize the energy cost, control the maximum load demand, increase the battery life, and satisfy the user’s-traveling needs. The EV/ESS charges during low pricing periods and discharges in high pricing periods. In the proposed method, a multi-objective problem is formulated, which simultaneously minimizes the energy cost, peak to average ratio (PAR), and customer dissatisfaction. The multi-objective optimization is solved using binary particle swarm optimization (BPSO). The results clearly show that it minimizes the operating cost from 402.89 cents to 191.46 cents, so that a reduction of 52.47% is obtained. Moreover, it reduces the PAR and discomfort index by 15.11% and 16.67%, respectively, in a 24 h time span. Furthermore, the home has home to grid (H2G) capability as it sells the surplus energy, and the total cost is further reduced by 29.41%. |
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format | Article |
id | doaj.art-2f1e64279c1d4b40b96a20617f69ace1 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T04:11:53Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-2f1e64279c1d4b40b96a20617f69ace12023-11-23T08:08:59ZengMDPI AGEnergies1996-10732021-12-011424855710.3390/en14248557Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid CapabilityArshad Mohammad0Mohd Zuhaib1Imtiaz Ashraf2Marwan Alsultan3Shafiq Ahmad4Adil Sarwar5Mali Abdollahian6Department of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh 202002, IndiaDepartment of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh 202002, IndiaDepartment of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh 202002, IndiaIndustrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi ArabiaIndustrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi ArabiaDepartment of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh 202002, IndiaSchool of Science, College of Sciences, Technology, Engineering, Mathematics, RMIT University, Melbourne, VIC 3001, AustraliaIn this paper, we proposed a home energy management system (HEMS) that includes photovoltaic (PV), electric vehicle (EV), and energy storage systems (ESS). The proposed HEMS fully utilizes the PV power in operating domestic appliances and charging EV/ESS. The surplus power is fed back to the grid to achieve economic benefits. A novel charging and discharging scheme of EV/ESS is presented to minimize the energy cost, control the maximum load demand, increase the battery life, and satisfy the user’s-traveling needs. The EV/ESS charges during low pricing periods and discharges in high pricing periods. In the proposed method, a multi-objective problem is formulated, which simultaneously minimizes the energy cost, peak to average ratio (PAR), and customer dissatisfaction. The multi-objective optimization is solved using binary particle swarm optimization (BPSO). The results clearly show that it minimizes the operating cost from 402.89 cents to 191.46 cents, so that a reduction of 52.47% is obtained. Moreover, it reduces the PAR and discomfort index by 15.11% and 16.67%, respectively, in a 24 h time span. Furthermore, the home has home to grid (H2G) capability as it sells the surplus energy, and the total cost is further reduced by 29.41%.https://www.mdpi.com/1996-1073/14/24/8557home energy management systemDemand Side Managementreal-time pricingbinary particle swarm optimization |
spellingShingle | Arshad Mohammad Mohd Zuhaib Imtiaz Ashraf Marwan Alsultan Shafiq Ahmad Adil Sarwar Mali Abdollahian Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability Energies home energy management system Demand Side Management real-time pricing binary particle swarm optimization |
title | Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability |
title_full | Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability |
title_fullStr | Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability |
title_full_unstemmed | Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability |
title_short | Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability |
title_sort | integration of electric vehicles and energy storage system in home energy management system with home to grid capability |
topic | home energy management system Demand Side Management real-time pricing binary particle swarm optimization |
url | https://www.mdpi.com/1996-1073/14/24/8557 |
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