Optimal design of EV aggregator for real-time peak load shaving and valley filling
Battery management systems; Dynamic loads; Energy management systems; Genetic algorithms; Landforms; Optimal systems; Power electronics; Deterministic optimization; Fluctuating loads; Grid-connected; Matlab Simulink models; Optimal design; Optimization algorithms; Real-time application; State of cha...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-250692023-05-29T16:06:39Z Optimal design of EV aggregator for real-time peak load shaving and valley filling Solanke T.U. Khatua P.K. Ramachandaramurthy V.K. Yong J.Y. Kanesan J. Tariq M. Kasinathan P. 57213002468 57211987923 6602912020 56119339200 26434800000 57220656842 57194393495 Battery management systems; Dynamic loads; Energy management systems; Genetic algorithms; Landforms; Optimal systems; Power electronics; Deterministic optimization; Fluctuating loads; Grid-connected; Matlab Simulink models; Optimal design; Optimization algorithms; Real-time application; State of charge; Electric power transmission networks Nowadays, extensive Electric Vehicle (EV) aggregator research has been carried out to design smart charging-discharging and scheduling of EVs. The EV aggregator plays a vital role to coordinate the energy management in between power grid and the EVs. This paper presents the optimal design of an EV aggregator in real-time for peak load shaving and valley filling. In practice, uncoordinated charging-discharging of grid-connected EVs may create serious issues to the power grid by introducing new peak demand and fluctuating load profile. In order to overcome the above issue, the EV aggregator's energy management system was optimized using Genetic Algorithm (GA) with constraints such as power balance and State-of-Charge (SOC). Furthermore, 24 hours dynamic load profile was considered in the optimization algorithm to manage the real-time power demand at each time instance. The deterministic optimization technique was tested in MATLAB-SIMULINK model for real-time application. The results showed that the proposed optimization algorithm can effectively reduce the peaks and fill valleys in compliance with various constraints in real-time. � 2020 IEEE. Final 2023-05-29T08:06:39Z 2023-05-29T08:06:39Z 2020 Conference Paper 10.1109/PEDES49360.2020.9379637 2-s2.0-85103878230 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103878230&doi=10.1109%2fPEDES49360.2020.9379637&partnerID=40&md5=ae4b6a6a00c7ccf2b613ca7c75bf0ea2 https://irepository.uniten.edu.my/handle/123456789/25069 9379637 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Battery management systems; Dynamic loads; Energy management systems; Genetic algorithms; Landforms; Optimal systems; Power electronics; Deterministic optimization; Fluctuating loads; Grid-connected; Matlab Simulink models; Optimal design; Optimization algorithms; Real-time application; State of charge; Electric power transmission networks |
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57213002468 Solanke T.U. Khatua P.K. Ramachandaramurthy V.K. Yong J.Y. Kanesan J. Tariq M. Kasinathan P. |
| format |
Conference Paper |
| author |
Solanke T.U. Khatua P.K. Ramachandaramurthy V.K. Yong J.Y. Kanesan J. Tariq M. Kasinathan P. |
| spellingShingle |
Solanke T.U. Khatua P.K. Ramachandaramurthy V.K. Yong J.Y. Kanesan J. Tariq M. Kasinathan P. Optimal design of EV aggregator for real-time peak load shaving and valley filling |
| author_sort |
Solanke T.U. |
| title |
Optimal design of EV aggregator for real-time peak load shaving and valley filling |
| title_short |
Optimal design of EV aggregator for real-time peak load shaving and valley filling |
| title_full |
Optimal design of EV aggregator for real-time peak load shaving and valley filling |
| title_fullStr |
Optimal design of EV aggregator for real-time peak load shaving and valley filling |
| title_full_unstemmed |
Optimal design of EV aggregator for real-time peak load shaving and valley filling |
| title_sort |
optimal design of ev aggregator for real-time peak load shaving and valley filling |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806424225101119488 |
| score |
13.222552 |