Dual-Mode Power Control of a Battery Supported Hybrid Power Generation System Based on Maximum Versoria Criterion

Bhim Singh, Souvik Das
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引用次数: 1

Abstract

The intermittency management plays a key role in enabling increased penetration of renewable energy sources (RESs) in modern power systems. In this context, this work presents the control of a battery supported hybrid power generation system (HPGS), integrating wind and solar renewable resources. The charging discharging of the battery energy storage (BES) for intermittency management is indirectly monitored through control of grid currents. The current control is performed for two operating modes: constant grid power control mode and variable grid power control mode. A maximum Versoria criterion based adaptive scheme facilitates the generation of reference grid currents. Moreover, the grid interactive system compensates for the reactive power requirement as well as harmonics and unbalance currents of loads, connected at point of common intersection (PCI) with the HPGS. An electromechanical wind energy conversion is performed using a doubly fed induction generator (DFIG). A position sensor-less rotor phase locked loop (RPLL) based scheme and a drift-free perturb and observe scheme (DFPO) are utilized for extracting peak powers from DFIG and solar photovoltaic (PV) array, respectively. The HPGS is modelled in MATLAB platform and obtained results demonstrate the appropriate working of the presented control schemes.
基于最大Versoria准则的电池供电混合发电系统双模功率控制
间歇性管理在提高可再生能源在现代电力系统中的渗透率方面起着关键作用。在这种情况下,这项工作提出了电池支持的混合发电系统(HPGS)的控制,整合了风能和太阳能可再生资源。通过对电网电流的控制,间接监测蓄电池储能系统的充放电情况。电流控制有两种工作模式:恒定电网功率控制模式和可变电网功率控制模式。基于最大Versoria准则的自适应方案便于参考网格电流的生成。此外,电网交互系统对与HPGS共交点连接的负载的无功需求、谐波和不平衡电流进行补偿。使用双馈感应发电机(DFIG)进行机电风能转换。采用无位置传感器转子锁相环(RPLL)方案和无漂移摄动观测(DFPO)方案分别提取DFIG和PV阵列的峰值功率。在MATLAB平台上对HPGS进行了建模,仿真结果表明所提出的控制方案是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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