Comparison the Performance of the Dynamic Voltage Restorer Based on PI, Fuzzy Logic, and Fuzzy Neural Controller

IF 4.9 Q1 BUSINESS

International Journal of Engineering Business Management Pub Date : 2021-04-26 DOI:10.11648/J.IJEM.20210501.11

S. S. Shukir

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引用次数: 3

Abstract

The Dynamic Voltage Restorer (DVR) is one of the most efficient and effective custom power devices in protecting the sensitive equipment against voltage sag and voltage harmonics due to; lower cost, smaller size and dynamic response. The inverter is the core of the DVR and it directly affects the performance of the DVR, incorrect injection or delay in the process would be dangerous to sensitive loads. The major functions of the DVR controller are, detection of voltage disturbances events in the system, calculation of the compensating voltage and generation the reference signal for the PWM to trigger the voltage source inverter. PI controller and fuzzy logic controller has been compared with the proposed fuzzy neural optimized fuzzy logic controller in correcting the sag problems and mitigating the harmonics distortion with linear and non-linear loads. Fuzzy Neural optimized Fuzzy Logic controller is the most efficient in improving the performance of the Dynamic Voltage Restorer in compensating any kind of voltage variations and reducing the voltage Total Harmonic Distortion (THD) by enhancing an injection capability of the DVR which is highly influenced by a control algorithm employed. The system is simulated in MATLAB and results confirm the validity and feasibility.

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基于PI、模糊逻辑和模糊神经控制器的动态电压恢复器的性能比较

动态电压恢复器(DVR)是保护敏感设备免受电压暂降和电压谐波影响的最有效的定制电源器件之一;成本低，体积小，动态响应好。逆变器是DVR的核心，它直接影响到DVR的性能，注入过程中的错误或延迟会对敏感负载造成危险。DVR控制器的主要功能是检测系统中的电压扰动事件，计算补偿电压，产生PWM触发电压源逆变器的参考信号。将PI控制器和模糊逻辑控制器与所提出的模糊神经优化模糊逻辑控制器在修正凹陷问题和减轻线性和非线性负载下的谐波畸变方面进行了比较。模糊神经优化模糊逻辑控制器是提高动态电压恢复器补偿各种电压变化性能和降低电压总谐波畸变(THD)的最有效方法，它可以增强DVR的注入能力，而DVR的注入能力受所采用的控制算法的影响很大。在MATLAB中对系统进行了仿真，结果验证了该方法的有效性和可行性。

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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来源期刊

International Journal of Engineering Business Management BUSINESS-

CiteScore

7.50

自引率

6.10%

发文量

审稿时长

15 weeks

期刊介绍： The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering