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Power quality improvement at nonlinear loads using transformer‐less shunt active power filter with adaptive neural fuzzy interface system supervised PID controllers
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2020-05-05 , DOI: 10.1002/2050-7038.12415
Garima Goswami 1 , Pankaj K. Goswami 2
Affiliation  

The extensive embedding of electronic components in modern applications enhances the scale of miniaturization and smart automation in AC power driven electrical and electronic devices. Most of the applications in smart home and industries constitute nonlinear load components at large level. Moreover, the nonlinearity of such components causes severe harmonic distortion, performance deviation and the high probability of system failure. The several higher‐order harmonics generated by the nonlinear load causes depreciation in system efficiency. This affects the performance characteristics and sensitivity of highly sophisticated AC power driven electronic systems in household and industrial applications. In this paper, an efficient adaptive neural fuzzy interface system (ANFIS) supervised PID controlled shunt active power filter (APF) is designed to suppress the unwanted presence of harmonics in nonlinear load applications. The reference current signal and control switching is administered by ANFIS technique to facilitate optimized PID action in conventional shunt APF. The transient and steady‐state response is monitored to observe system feasibility of inadequate real‐time applications. This scheme contributes, the soft computing design algorithm to control the total harmonic distortion (THD) in nonlinear load system with significant THD reduction coefficient without deviating the system complexities. The proposed filtering technique reduces the THD from 92.23% to 0.49% and improves the power factor to 0.99 for fixed nonlinear load parameters. The power quality control technique elicits novel improvement in the elimination of THD in reference to IEEE 519 standards.

中文翻译:

使用带有自适应神经模糊接口系统的PID控制器的无变压器并联有源电力滤波器来改善非线性负载下的电能质量

电子组件在现代应用中的广泛嵌入增强了交流电源驱动的电气和电子设备的小型化和智能自动化的规模。智能家居和工业中的大多数应用在很大程度上构成了非线性负载组件。此外,此类组件的非线性会导致严重的谐波失真,性能偏差以及系统故障的高可能性。非线性负载产生的几个高次谐波会导致系统效率下降。这会影响家用和工业应用中高度复杂的交流电源驱动的电子系统的性能特征和灵敏度。在本文中,设计了一种有效的自适应神经模糊接口系统(ANFIS)监督的PID控制并联有源电力滤波器(APF),以抑制非线性负载应用中有害的谐波存在。参考电流信号和控制开关通过ANFIS技术进行管理,以促进传统并联APF中的优化PID作用。监视瞬态和稳态响应,以观察实时应用不足的系统可行性。该方案有助于采用软计算设计算法来控制非线性负载系统中的总谐波失真(THD),且总谐波失真减小系数显着,而不会降低系统复杂度。对于固定的非线性负载参数,提出的滤波技术将THD从92.23%降低到0.49%,并将功率因数提高到0.99。
更新日期:2020-05-05
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