Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators
This paper proposes a Home Energy Management System (HEMS) that optimizes the load demand and distributed energy resources. The optimal demand/generation profile is presented while considering utility price signal, customer satisfaction, and distribution transformer condition. The electricity home d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/2/257 |
| _version_ | 1797542250157178880 |
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| author | Aya Amer Khaled Shaban Ahmed Gaouda Ahmed Massoud |
| author_facet | Aya Amer Khaled Shaban Ahmed Gaouda Ahmed Massoud |
| author_sort | Aya Amer |
| collection | DOAJ |
| description | This paper proposes a Home Energy Management System (HEMS) that optimizes the load demand and distributed energy resources. The optimal demand/generation profile is presented while considering utility price signal, customer satisfaction, and distribution transformer condition. The electricity home demand considers electric vehicles (EVs), Battery Energy Storage Systems (BESSs), and all types of non-shiftable, shiftable, and controllable appliances. Furthermore, PV-based renewable energy resources, EVs, and BESSs are utilized as sources of generated power during specific time intervals. In this model, customers can only perform Demand Response (DR) actions with contracts with utility operators. A multi-objective demand/generation response is proposed to optimize the scheduling of various loads/supplies based on the pricing schemes. The customers’ behavior comfort level and a degradation cost that reflects the distribution transformer Loss-of-Life (LoL) are integrated into the multi-objective optimization problem. Simulation results demonstrate the mutual benefits that the proposed HEMS provides to customers and utility operators by minimizing electricity costs while meeting customer comfort needs and minimizing transformer LoL to enhance operators’ assets. The results show that the electricity operation cost and demand peak are reduced by 31% and 18%, respectively, along with transformer LoL % which is reduced by 28% compared with the case when no DR was applied. |
| first_indexed | 2024-03-10T13:28:00Z |
| format | Article |
| id | doaj.art-5e408c73e747455a8e5254df1aeb6a6d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T13:28:00Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5e408c73e747455a8e5254df1aeb6a6d2023-11-21T08:40:35ZengMDPI AGEnergies1996-10732021-01-0114225710.3390/en14020257Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and OperatorsAya Amer0Khaled Shaban1Ahmed Gaouda2Ahmed Massoud3Electrical Engineering Department, Qatar University, Doha 2713, QatarComputer Science and Engineering Department, Qatar University, Doha 2713, QatarComputer Science and Engineering Department, Qatar University, Doha 2713, QatarElectrical Engineering Department, Qatar University, Doha 2713, QatarThis paper proposes a Home Energy Management System (HEMS) that optimizes the load demand and distributed energy resources. The optimal demand/generation profile is presented while considering utility price signal, customer satisfaction, and distribution transformer condition. The electricity home demand considers electric vehicles (EVs), Battery Energy Storage Systems (BESSs), and all types of non-shiftable, shiftable, and controllable appliances. Furthermore, PV-based renewable energy resources, EVs, and BESSs are utilized as sources of generated power during specific time intervals. In this model, customers can only perform Demand Response (DR) actions with contracts with utility operators. A multi-objective demand/generation response is proposed to optimize the scheduling of various loads/supplies based on the pricing schemes. The customers’ behavior comfort level and a degradation cost that reflects the distribution transformer Loss-of-Life (LoL) are integrated into the multi-objective optimization problem. Simulation results demonstrate the mutual benefits that the proposed HEMS provides to customers and utility operators by minimizing electricity costs while meeting customer comfort needs and minimizing transformer LoL to enhance operators’ assets. The results show that the electricity operation cost and demand peak are reduced by 31% and 18%, respectively, along with transformer LoL % which is reduced by 28% compared with the case when no DR was applied.https://www.mdpi.com/1996-1073/14/2/257customer satisfactiondemand responseenergy storage systemselectric vehicleshome energy managementloss of life |
| spellingShingle | Aya Amer Khaled Shaban Ahmed Gaouda Ahmed Massoud Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators Energies customer satisfaction demand response energy storage systems electric vehicles home energy management loss of life |
| title | Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators |
| title_full | Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators |
| title_fullStr | Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators |
| title_full_unstemmed | Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators |
| title_short | Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators |
| title_sort | home energy management system embedded with a multi objective demand response optimization model to benefit customers and operators |
| topic | customer satisfaction demand response energy storage systems electric vehicles home energy management loss of life |
| url | https://www.mdpi.com/1996-1073/14/2/257 |
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