Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries
Industries are consuming more than 27% of the total generated energy in the world, out of which 50% is used by different machines for processing, producing, and assembling various goods. Energy shortage is a major issue of this biosphere. To overcome energy scarcity, a challenging task is to have op...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/9/1/105 |
| _version_ | 1797999544984666112 |
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| author | Ibrar Ullah Irshad Hussain Madhusudan Singh |
| author_facet | Ibrar Ullah Irshad Hussain Madhusudan Singh |
| author_sort | Ibrar Ullah |
| collection | DOAJ |
| description | Industries are consuming more than 27% of the total generated energy in the world, out of which 50% is used by different machines for processing, producing, and assembling various goods. Energy shortage is a major issue of this biosphere. To overcome energy scarcity, a challenging task is to have optimal use of existing energy resources. An efficient and effective mechanism is essential to optimally schedule the load units to achieve three objectives: minimization of the consumed energy cost, peak-to-average power ratio, and consumer waiting time due to scheduling of the load. To achieve the aforementioned objectives, two bio-inspired heuristic techniques—Grasshopper-Optimization Algorithm and Cuckoo Search Optimization Algorithm—are analyzed and simulated for efficient energy use in an industry. We considered a woolen mill as a case study, and applied our algorithms on its different load units according to their routine functionality. Then we scheduled these load units by proposing an efficient energy management system (EMS). We assumed automatic operating machines and day-ahead pricing schemes in our EMS. |
| first_indexed | 2024-04-11T11:06:22Z |
| format | Article |
| id | doaj.art-638c13ce1304432699e14f71432a4ebf |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T11:06:22Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-638c13ce1304432699e14f71432a4ebf2022-12-22T04:28:17ZengMDPI AGElectronics2079-92922020-01-019110510.3390/electronics9010105electronics9010105Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart IndustriesIbrar Ullah0Irshad Hussain1Madhusudan Singh2Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, PakistanFaculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, PakistanEndicott College of International Studies, Woosong University, Daejeon 300-718, KoreaIndustries are consuming more than 27% of the total generated energy in the world, out of which 50% is used by different machines for processing, producing, and assembling various goods. Energy shortage is a major issue of this biosphere. To overcome energy scarcity, a challenging task is to have optimal use of existing energy resources. An efficient and effective mechanism is essential to optimally schedule the load units to achieve three objectives: minimization of the consumed energy cost, peak-to-average power ratio, and consumer waiting time due to scheduling of the load. To achieve the aforementioned objectives, two bio-inspired heuristic techniques—Grasshopper-Optimization Algorithm and Cuckoo Search Optimization Algorithm—are analyzed and simulated for efficient energy use in an industry. We considered a woolen mill as a case study, and applied our algorithms on its different load units according to their routine functionality. Then we scheduled these load units by proposing an efficient energy management system (EMS). We assumed automatic operating machines and day-ahead pricing schemes in our EMS.https://www.mdpi.com/2079-9292/9/1/105bio-inspired heuristic algorithmscuckoo search optimization algorithmenergy management systemgrasshopper optimization algorithmsmart grid |
| spellingShingle | Ibrar Ullah Irshad Hussain Madhusudan Singh Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries Electronics bio-inspired heuristic algorithms cuckoo search optimization algorithm energy management system grasshopper optimization algorithm smart grid |
| title | Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries |
| title_full | Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries |
| title_fullStr | Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries |
| title_full_unstemmed | Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries |
| title_short | Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries |
| title_sort | exploiting grasshopper and cuckoo search bio inspired optimization algorithms for industrial energy management system smart industries |
| topic | bio-inspired heuristic algorithms cuckoo search optimization algorithm energy management system grasshopper optimization algorithm smart grid |
| url | https://www.mdpi.com/2079-9292/9/1/105 |
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