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ODFF: Optimized Dual Fuzzy Flow Controller Based Voltage Sag Compensation for SMES-Based DVR in Power Quality Applications

机译:ODFF:针对基于SMES的DVR在电能质量应用中优化的基于双模糊流量控制器的电压暂降补偿

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摘要

The booming electronics itself carries an impact on power quality. Superconducting Magnetic Energy Storage (SMES) is proposed to enhance power quality in three-phase systems under various loads. This paper aimed to compensate the voltage sags under various faults in the grid systems. The SMES is selected as an energy storage unit to improve the capability of voltage sag compensation. Optimized Dual Fuzzy Flow (ODFF) logic controller is designed to prevent the voltage sag time during excessive phase voltage variation. Hence the proposed controller strategy reduces the total harmonic distortion during various fault conditions. To regulate the contribution of active power, the least possible value is improved using ODFF. The depth of voltage sags compensation is achieved by the over modulation and an iterative loop is designed in the control block. While protecting sensitive loads from voltage disturbances, and sags initiated by the power system, the proposed configuration is advantageous for an industrial implementation. It is found that the proposed method can result in more than 50% additional sag support time when compared with the previous methods such as PI and PSO. Utilizing MATLAB Simulink, compensation of sag and minimization of THD is established, and the simulation tests are performed to evaluate the performance of the proposed control method.
机译:蓬勃发展的电子设备本身会对电能质量产生影响。为了提高三相系统在各种负载下的电能质量,提出了超导磁能存储(SMES)。本文旨在补偿电网系统中各种故障下的电压骤降。选择SMES作为能量存储单元,以提高电压骤降补偿的能力。优化的双模糊流(ODFF)逻辑控制器旨在防止相电压变化过大时出现电压暂降时间。因此,所提出的控制器策略减少了各种故障条件下的总谐波失真。为了调节有功功率的贡献,使用ODFF改善了最小的可能值。电压骤降​​补偿的深度通过过调制实现,并且在控制模块中设计了一个迭代回路。在保护敏感负载免受电压干扰和由电源系统引发的骤降的同时,所提出的配置对于工业实施是有利的。发现与以前的方法(如PI和PSO)相比,所提出的方法可导致超过50%的额外下垂支持时间。利用MATLAB Simulink,建立了垂度补偿和THD最小化,并进行了仿真测试,以评估所提出控制方法的性能。

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