TY - JOUR
T1 - Optimal PI-Controller-Based Hybrid Energy Storage System in DC Microgrid
AU - Vijayan, Maya
AU - Udumula, Ramanjaneya Reddy
AU - Mahto, Tarkeshwar
AU - Lokeshgupta, Bhamidi
AU - Goud, B. Srikanth
AU - Kalyan, Ch Naga Sai
AU - Balachandran, Praveen Kumar
AU - C, Dhanamjayulu
AU - Padmanaban, Sanjeevikumar
AU - Twala, Bhekisipho
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/11
Y1 - 2022/11
N2 - Power availability from renewable energy sources (RES) is unpredictable, and must be managed effectively for better utilization. The role that a hybrid energy storage system (HESS) plays is vital in this context. Renewable energy sources along with hybrid energy storage systems can provide better power management in a DC microgrid environment. In this paper, the optimal PI-controller-based hybrid energy storage system for a DC microgrid is proposed for the effective utilization of renewable power. In this model, the proposed optimal PI controller is developed using the particle swarm optimization (PSO) approach. A 72 W DC microgrid system is considered in order to validate the effectiveness of the proposed optimal PI controller. The proposed model is implemented using the MATLAB/SIMULINK platform. To show the effectiveness of the proposed model, the results are validated with a conventional PI-controller-based hybrid energy storage system.
AB - Power availability from renewable energy sources (RES) is unpredictable, and must be managed effectively for better utilization. The role that a hybrid energy storage system (HESS) plays is vital in this context. Renewable energy sources along with hybrid energy storage systems can provide better power management in a DC microgrid environment. In this paper, the optimal PI-controller-based hybrid energy storage system for a DC microgrid is proposed for the effective utilization of renewable power. In this model, the proposed optimal PI controller is developed using the particle swarm optimization (PSO) approach. A 72 W DC microgrid system is considered in order to validate the effectiveness of the proposed optimal PI controller. The proposed model is implemented using the MATLAB/SIMULINK platform. To show the effectiveness of the proposed model, the results are validated with a conventional PI-controller-based hybrid energy storage system.
KW - Bidirectional DC-DC converters
KW - DC microgrid
KW - hybrid energy storage systems
KW - particle swarm optimization
KW - renewable energy sources
UR - http://www.scopus.com/inward/record.url?scp=85142718268&partnerID=8YFLogxK
U2 - 10.3390/su142214666
DO - 10.3390/su142214666
M3 - Journal article
AN - SCOPUS:85142718268
SN - 2071-1050
VL - 14
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 22
M1 - 14666
ER -