Fuzzy Logic Control for Solar based PV-Battery Storage System with MPPT Technique

Rayalla Anjani Kumar, S. H. Valli, V. Rafi, R. Kiranmayi
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Abstract

Renewable energy sources like solar and wind are getting more research attention as a result of technological breakthroughs in these fields and a corresponding decrease in price. Due to its widespread availability, solar energy promises to be a sustainable answer to rising demand. However, the sun irradiance's unpredictable nature creates practical difficulties. This paper describes the control of a solar and battery storage based micro-grid in grid linked mode to meet the requirement for optimal coordination. The maximum power point tracking (MPPT) control is a feature of the PV array. Battery storage and charge controllers are dotted across the micro-grid to sustain erratic solar generator output. The FUZZY control mode is used to run the grid-side inverter. The Simulink Environment in MATLAB was used to create the model. The two instances of constant load and variable irradiance and variable load and variable irradiance have both been studied. The outcomes clearly demonstrate the effectiveness of the control strategy in preserving the balance of voltage, frequency, and power at PCC.
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基于MPPT技术的太阳能光伏-电池储能系统模糊逻辑控制
由于太阳能和风能等可再生能源领域的技术突破以及相应的价格下降,这些能源正受到越来越多的研究关注。由于其广泛的可用性,太阳能有望成为不断增长的需求的可持续解决方案。然而,太阳辐照度的不可预测性给实际操作带来了困难。本文研究了基于太阳能和电池储能的微电网在并网模式下的控制,以满足最优协调的要求。最大功率点跟踪(MPPT)控制是光伏阵列的一个特点。电池存储和充电控制器遍布微电网,以维持不稳定的太阳能发电机输出。并网逆变器采用模糊控制方式运行。利用MATLAB中的Simulink环境建立模型。研究了恒负荷变辐照度和变负荷变辐照度两种情况。结果清楚地证明了控制策略在保持PCC电压、频率和功率平衡方面的有效性。
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