A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach
A real-time energy management strategy using dynamic pricing mechanism by deploying a fractional order super twisting sliding mode controller (FOSTSMC) is proposed for correspondence between energy users and providers. This framework, which controls the energy demand of the smart grid’s users is man...
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Format: | Article |
Language: | English |
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MDPI AG
2022-11-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/15/23/9074 |
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author | Taimoor Ahmad Khan Amjad Ullah Ghulam Hafeez Imran Khan Sadia Murawwat Faheem Ali Sajjad Ali Sheraz Khan Khalid Rehman |
author_facet | Taimoor Ahmad Khan Amjad Ullah Ghulam Hafeez Imran Khan Sadia Murawwat Faheem Ali Sajjad Ali Sheraz Khan Khalid Rehman |
author_sort | Taimoor Ahmad Khan |
collection | DOAJ |
description | A real-time energy management strategy using dynamic pricing mechanism by deploying a fractional order super twisting sliding mode controller (FOSTSMC) is proposed for correspondence between energy users and providers. This framework, which controls the energy demand of the smart grid’s users is managed by the pricing signal provided by the FOSTSMC, issued to the smart meters, and adjusts the users’ demand to remove the difference between energy demand and generation. For the implementation purpose, a scenario based in MATLAB/Simulink is constructed where a sample renewable energy–integrated smart microgrid is considered. For the validation of the framework, the results of FOSTSMC are compared with the benchmark PI controller’s response. The results of the benchmark PI controller are firstly compared in step response analysis, which is followed by the comparison in deploying in renewable energy–integrated smart grid scenario with multiple users. The results indicate that the FOSTSMC-based controller strategy outperformed the existing PI controller-based strategy in terms of overshoot, energy balance, and energy price regulation. |
first_indexed | 2024-03-09T17:48:52Z |
format | Article |
id | doaj.art-e1d48617aeb94ccca6d4f88737990a8c |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-09T17:48:52Z |
publishDate | 2022-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-e1d48617aeb94ccca6d4f88737990a8c2023-11-24T10:54:58ZengMDPI AGEnergies1996-10732022-11-011523907410.3390/en15239074A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing ApproachTaimoor Ahmad Khan0Amjad Ullah1Ghulam Hafeez2Imran Khan3Sadia Murawwat4Faheem Ali5Sajjad Ali6Sheraz Khan7Khalid Rehman8Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, PakistanDepartment of Electrical Engineering, University of Engineering and Technology, Peshawar 25000, PakistanDepartment of Electrical Engineering, University of Engineering and Technology, Mardan 23200, PakistanDepartment of Electrical Engineering, University of Engineering and Technology, Mardan 23200, PakistanDepartment of Electrical Engineering, Lahore College for Women University, Lahore 54000, PakistanDepartment of Electrical Engineering, University of Engineering and Technology, Peshawar 25000, PakistanDepartment of Telecommunication Engineering, University of Engineering and Technology, Peshawar 23200, PakistanDepartment of Electrical Engineering, University of Engineering and Technology, Mardan 23200, PakistanDepartment of Electrical Engineering, CECOS University of IT & Emerging Sciences, Peshawar 25100, PakistanA real-time energy management strategy using dynamic pricing mechanism by deploying a fractional order super twisting sliding mode controller (FOSTSMC) is proposed for correspondence between energy users and providers. This framework, which controls the energy demand of the smart grid’s users is managed by the pricing signal provided by the FOSTSMC, issued to the smart meters, and adjusts the users’ demand to remove the difference between energy demand and generation. For the implementation purpose, a scenario based in MATLAB/Simulink is constructed where a sample renewable energy–integrated smart microgrid is considered. For the validation of the framework, the results of FOSTSMC are compared with the benchmark PI controller’s response. The results of the benchmark PI controller are firstly compared in step response analysis, which is followed by the comparison in deploying in renewable energy–integrated smart grid scenario with multiple users. The results indicate that the FOSTSMC-based controller strategy outperformed the existing PI controller-based strategy in terms of overshoot, energy balance, and energy price regulation.https://www.mdpi.com/1996-1073/15/23/9074fractional order super twisting sliding mode controllerenergy managementsmart gridrenewable energydemand response programs |
spellingShingle | Taimoor Ahmad Khan Amjad Ullah Ghulam Hafeez Imran Khan Sadia Murawwat Faheem Ali Sajjad Ali Sheraz Khan Khalid Rehman A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach Energies fractional order super twisting sliding mode controller energy management smart grid renewable energy demand response programs |
title | A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach |
title_full | A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach |
title_fullStr | A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach |
title_full_unstemmed | A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach |
title_short | A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach |
title_sort | fractional order super twisting sliding mode controller for energy management in smart microgrid using dynamic pricing approach |
topic | fractional order super twisting sliding mode controller energy management smart grid renewable energy demand response programs |
url | https://www.mdpi.com/1996-1073/15/23/9074 |
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