Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids
Nowadays, automated appliances are exponentially increasing. Therefore, there is a need for a scheme to accomplish the electricity demand of automated appliances. Recently, many Demand Side Management (DSM) schemes have been explored to alleviate Electricity Cost (EC) and Peak to Average Ratio (PAR)...
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doaj-d7a387b0a8924bd092fb737a5690aebd2020-11-24T22:38:40ZengMDPI AGEnergies1996-10732018-11-011111312510.3390/en11113125en11113125Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart GridsMuhammad Awais0Nadeem Javaid1Khursheed Aurangzeb2Syed Irtaza Haider3Zahoor Ali Khan4Danish Mahmood5Department of Computer Sciences, COMSATS University Islamabad, Islamabad 44000, PakistanDepartment of Computer Sciences, COMSATS University Islamabad, Islamabad 44000, PakistanCollege of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaCollege of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaComputer Information Science, Higher Colleges of Technology, Fujairah 4114, UAEShaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad 44000, PakistanNowadays, automated appliances are exponentially increasing. Therefore, there is a need for a scheme to accomplish the electricity demand of automated appliances. Recently, many Demand Side Management (DSM) schemes have been explored to alleviate Electricity Cost (EC) and Peak to Average Ratio (PAR). In this paper, energy consumption problem in a residential area is considered. To solve this problem, a heuristic based DSM technique is proposed to minimize EC and PAR with affordable user’s Waiting Time (WT). In heuristic techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Flower Pollination Algorithm (FPA) are implemented. Furthermore, a novel heuristic algorithm has been proposed by merging the best features of the aforementioned existing algorithms. We test the proposed scheme on single homes and on smart community (involving multiple households). Different Operational Time Intervals (OTIs) are also considered for implementation. We have performed simulations for validating the our scheme. Results clearly demonstrate that the proposed Hybrid Bacterial Flower Pollination Algorithm (HBFPA) shows efficacy for EC and for reduction of PAR with reasonable user WT.https://www.mdpi.com/1996-1073/11/11/3125schedulingdemand side managementsmart gridhome energy management |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Awais Nadeem Javaid Khursheed Aurangzeb Syed Irtaza Haider Zahoor Ali Khan Danish Mahmood |
spellingShingle |
Muhammad Awais Nadeem Javaid Khursheed Aurangzeb Syed Irtaza Haider Zahoor Ali Khan Danish Mahmood Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids Energies scheduling demand side management smart grid home energy management |
author_facet |
Muhammad Awais Nadeem Javaid Khursheed Aurangzeb Syed Irtaza Haider Zahoor Ali Khan Danish Mahmood |
author_sort |
Muhammad Awais |
title |
Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids |
title_short |
Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids |
title_full |
Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids |
title_fullStr |
Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids |
title_full_unstemmed |
Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids |
title_sort |
towards effective and efficient energy management of single home and a smart community exploiting heuristic optimization algorithms with critical peak and real-time pricing tariffs in smart grids |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-11-01 |
description |
Nowadays, automated appliances are exponentially increasing. Therefore, there is a need for a scheme to accomplish the electricity demand of automated appliances. Recently, many Demand Side Management (DSM) schemes have been explored to alleviate Electricity Cost (EC) and Peak to Average Ratio (PAR). In this paper, energy consumption problem in a residential area is considered. To solve this problem, a heuristic based DSM technique is proposed to minimize EC and PAR with affordable user’s Waiting Time (WT). In heuristic techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Flower Pollination Algorithm (FPA) are implemented. Furthermore, a novel heuristic algorithm has been proposed by merging the best features of the aforementioned existing algorithms. We test the proposed scheme on single homes and on smart community (involving multiple households). Different Operational Time Intervals (OTIs) are also considered for implementation. We have performed simulations for validating the our scheme. Results clearly demonstrate that the proposed Hybrid Bacterial Flower Pollination Algorithm (HBFPA) shows efficacy for EC and for reduction of PAR with reasonable user WT. |
topic |
scheduling demand side management smart grid home energy management |
url |
https://www.mdpi.com/1996-1073/11/11/3125 |
work_keys_str_mv |
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