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Optimal PI-Controller-Based Hybrid Energy Storage System in DC Microgrid

Maya Vijayan, Ramanjaneya Reddy Udumula, Tarkeshwar Mahto, B. Lokeshgupta, B. Srikanth Goud, Ch. Naga Sai Kalyan, Praveen Kumar Balachandran, C. Dhanamjayulu, Sanjeevikumar Padmanaban, Bhekisipho Twala

2022Sustainability41 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

MicrogridRenewable energyEnergy storageParticle swarm optimizationController (irrigation)Context (archaeology)Hybrid systemComputer sciencePID controllerEnergy managementHybrid powerDistributed generationElectric power systemControl theory (sociology)Control engineeringPower (physics)EngineeringEnergy (signal processing)Electrical engineeringControl (management)AlgorithmMathematicsTemperature controlStatisticsPhysicsQuantum mechanicsAgronomyMachine learningBiologyPaleontologyArtificial intelligenceMicrogrid Control and OptimizationAdvanced Battery Technologies ResearchAdvanced DC-DC Converters
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