基于PSO的农业用SVPWM控制感应电机太阳能光伏系统

V. M, C. S
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引用次数: 0

摘要

如今,可再生能源在农业应用中发挥着重要作用。推荐的基于DC-DC变换器的粒子群优化(PSO)算法支持优化输出电压。然而,这是有益的,因为PSO技术的部分遮阳条件具有高输出功率和较少的MPPT搜索步骤。本工作的目的是提出一种基于PSO的升压转换器,采用空间矢量脉宽调制(SVPWM)方法。期望PSO在部分遮阳条件下跟踪全局最大值(GMP)。SVPWM技术的优点是开关频率固定,谐波含量较低。农业系统中使用的离心泵是由SVPWM控制的三相感应电动机驱动的。电机的范围以及光伏阵列的评估是确定的,因为即使在温度波动和辐照水平下,水也可以泵出。在MATLAB/SIMULINK环境下对所提设计的有效性进行了观察。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSO based Solar PV system for SVPWM Controlled Induction Motor for Agricultural Applications
Nowadays, renewable energy sources play a major role in agricultural applications. The recommended Particle Swarm Optimization (PSO) algorithm with DC-DC converter supports in refining the output voltage. This is beneficial however since the partial shading condition of PSO technique has high output power with fewer searching steps of MPPT. The objective of this work is to propose a PSO based boost converter using Space Vector Pulse Width Modulation (SVPWM) method. PSO has been anticipated to track the Global Maximum Point (GMP) under the partial shading condition. The welfares of the SVPWM technique are fixed switching frequency and lower harmonic content. The centrifugal pump used in agricultural system is obsessed by SVPWM controlled three-phase induction motor. The extent of the motor as well as the photovoltaic array evaluations are certain as the water could be pumped out even at temperature fluctuations and irradiation levels. The efficacy of the proposed design is observed under the MATLAB/SIMULINK.
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