基于混合有源滤波器的光伏和电池储能微电网电能质量提升

S. Das, P. Ray, A. Mohanty, G. Panda
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引用次数: 5

摘要

本文提出了一种集成并联混合有源滤波器(SHAF)的基于光伏(PV)和电池存储系统(BSS)的微电网(MG),用于提高三相系统的电能质量(PQ)。该系统的开发是为了减少谐波和管理电力系统的无功功率。为了跟踪光伏阵列的最大功率,采用了一种新颖的自调谐扰动观测(SPO)算法。SHAF采用最大M卡尔曼滤波器(MMKF)进行基准电流估计,并采用迟滞电流控制(HCC)进行开关信号生成。利用MATLAB/Simulink工具将该系统与传统的卡尔曼滤波器进行了比较。
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Power Quality Enhancement in PV and Battery Storage Based Microgrid Using Hybrid Active Filter
In this work a photovoltaic (PV) and battery storage system (BSS) based microgrid (MG) integrated with shunt hybrid active filter (SHAF) is proposed for power quality (PQ) enhancement in three phase system. The proposed system is developed to reduce harmonics and manage the reactive power in the power system. For tracking the maximum power in the PV array, a novel self-tuned perturbs and observe (SPO) algorithm is employed. The SHAF employs a maximize M Kalman filter (MMKF) for reference current estimation and hysteresis current control (HCC) for switching signal generation. The proposed system is compared with the traditional Kalman Filter using MATLAB/Simulink tool.
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