Multiobjective automated and autonomous intelligent load control for smart buildings
This paper deals with design of a real-time and versatile yet simple control and management strategy for provision of adaptive and intelligent demand response for buildings. The proposed three-phase multiobjective autonomous/automated intelligent load (MAIL3) control strategy offers the following su...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Online Access: | https://hdl.handle.net/10356/139805 |
| _version_ | 1826125318922960896 |
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| author | Ashabani, Mahdi Gooi, Hoay Beng |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Ashabani, Mahdi Gooi, Hoay Beng |
| author_sort | Ashabani, Mahdi |
| collection | NTU |
| description | This paper deals with design of a real-time and versatile yet simple control and management strategy for provision of adaptive and intelligent demand response for buildings. The proposed three-phase multiobjective autonomous/automated intelligent load (MAIL3) control strategy offers the following superiorities in a computationally-efficient approach: 1) by introducing voltage hopper technology, it can provide autonomous and automated grid ancillary service and load control without the need for a supervisory/centralized controller; 2) it can also track and realize regulation commands from an independent system operator; 3) it is applicable to buildings with hybrid AC/DC grids including AC and DC impedance loads, battery energy storage systems (BESSs), and variable frequency drives (VFDs); 4) it is a unified load control strategy for both grid-connected and islanded buildings with seamless transition between them; 5) as opposed to common on/off demand control techniques in the literature, the proposed method provides a continuous and adaptive demand control; and 6) the MAIL3 is based on a new control technique for voltage source converters using synchronous current converters technology. Extensive results are presented to demonstrate effectiveness of the method. |
| first_indexed | 2024-10-01T06:34:41Z |
| format | Journal Article |
| id | ntu-10356/139805 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:34:41Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1398052020-05-21T08:54:24Z Multiobjective automated and autonomous intelligent load control for smart buildings Ashabani, Mahdi Gooi, Hoay Beng School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Ancillary Service Demand Response This paper deals with design of a real-time and versatile yet simple control and management strategy for provision of adaptive and intelligent demand response for buildings. The proposed three-phase multiobjective autonomous/automated intelligent load (MAIL3) control strategy offers the following superiorities in a computationally-efficient approach: 1) by introducing voltage hopper technology, it can provide autonomous and automated grid ancillary service and load control without the need for a supervisory/centralized controller; 2) it can also track and realize regulation commands from an independent system operator; 3) it is applicable to buildings with hybrid AC/DC grids including AC and DC impedance loads, battery energy storage systems (BESSs), and variable frequency drives (VFDs); 4) it is a unified load control strategy for both grid-connected and islanded buildings with seamless transition between them; 5) as opposed to common on/off demand control techniques in the literature, the proposed method provides a continuous and adaptive demand control; and 6) the MAIL3 is based on a new control technique for voltage source converters using synchronous current converters technology. Extensive results are presented to demonstrate effectiveness of the method. 2020-05-21T08:54:23Z 2020-05-21T08:54:23Z 2017 Journal Article Ashabani, M., & Gooi, H. B. (2018). Multiobjective automated and autonomous intelligent load control for smart buildings. IEEE Transactions on Power Systems, 33(3), 2778-2791. doi:10.1109/TPWRS.2017.2756660 0885-8950 https://hdl.handle.net/10356/139805 10.1109/TPWRS.2017.2756660 2-s2.0-85030678917 3 33 2778 2791 en IEEE Transactions on Power Systems © 2017 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Ancillary Service Demand Response Ashabani, Mahdi Gooi, Hoay Beng Multiobjective automated and autonomous intelligent load control for smart buildings |
| title | Multiobjective automated and autonomous intelligent load control for smart buildings |
| title_full | Multiobjective automated and autonomous intelligent load control for smart buildings |
| title_fullStr | Multiobjective automated and autonomous intelligent load control for smart buildings |
| title_full_unstemmed | Multiobjective automated and autonomous intelligent load control for smart buildings |
| title_short | Multiobjective automated and autonomous intelligent load control for smart buildings |
| title_sort | multiobjective automated and autonomous intelligent load control for smart buildings |
| topic | Engineering::Electrical and electronic engineering Ancillary Service Demand Response |
| url | https://hdl.handle.net/10356/139805 |
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