Abstract
A stand-alone renewable based microgrid (MG) performance with a hybrid energy storage system has been examined in this work. Stand-alone MG system mainly consists of a solar photovoltaic (PV) and permanent magnet synchronous generator (PMSG) based wind system. The hybrid energy storage system is based on Ni-Metal- Hydride (NiMH) battery and a supercapacitor (SC). The paper's primary goal is to propose an artificial neural network (ANN) based control strategy for charging/discharging control of Ni-Metal- Hydride battery & supercapacitor. The proposed maximum power tracking techniques (MPPT) include perturb and observe (P& O) algorithm for solar PV system while optimum torque (OT) MPPT for PMSG based wind turbine. The ANN-based control mechanism can maintain the DC bus voltage constant and trigger the supercapacitor to limit the battery current when the battery charging/ discharging current reached its threshold value. The proposed model responds quickly to intermittent nature PV-wind power generation or load power variation.
Highlights
A lot of research has been done on stand-alone hybrid microgrid (MG) with the energy storage system in a decade
Where Pw in d is the power generated by wind turbine, PPV is the power generated by solar photovoltaic module, Pbattery, PSC are the bidirectional power flow from battery and supercapacitor respectively, and Pload is the power demanded by the load
This technique gives a fast response to the dynamic changes in microgrid generation and maintains the DC bus voltage constant. 3.3 Battery control strategy
Summary
A lot of research has been done on stand-alone hybrid microgrid (MG) with the energy storage system in a decade. Different studies were reported in the literature for energy management of a hybrid energy storage system with supercapacitors and batteries as the energy storage device [7]-[12] It has been clear from the literature survey that the combined battery and supercapacitor achieve a longer life span, high-power and high energy capability in comparison to the battery alone during pulsating load condition [7]-[9]. The ANN-based energy management for a stand-alone PV system is shown in [20]; the presented method reduced stress on the battery and improve its life span by introducing supercapacitor efficiently. The main features of the proposed hybrid energy storage control scheme are: (1) Maintain DC link voltage constant by giving a quick response towards load change or generation change. The simulation results taken under different operating condition were verified the effectiveness of the proposed control strategy
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