Scholarlink

<p>The distribution system is always burdened with versatile linear, non-linear, and sensitive load patterns. These loads are vulnerable to voltage fluctuations. Hence, compensating devices are installed to regulate the bus voltages. One such promising voltage regulator is the Dynamic Voltage Restorer (DVR). DVR topologies along with its control architecture has been reviewed in this paper. A detailed discussion is given for the controller design. The state of the art of DVR is its Reference Voltage Generation (RVG) Techniques. Convergence time and accuracy of RVG directly affects the response time and compensation accuracy of the control scheme. A detailed review of all these techniques is also presented in this paper. DVR topologies have a wide range of designs for the controller employing optimization techniques with intelligent algorithm like fuzzy, neural, PSO, etc. All these techniques are used in the fast computing of controller parameters, which helps to improve performance under dynamic conditions which has been reviewed. Real time results are also presented to validate the performance of the hybrid techniques. In this paper a comparative results using OP-5600 OPAL-RT simulators are shown with conventional-PI controller and hybrid fuzzy-PI based DVR.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Evolution of Control Architectures and Applications of DVR in Modern Distribution Systems: A Comprehensive Review

  • 期刊论文

  • 发表日期：

    2026年3月2日

查看全文
  • Pooja Nitesh Jaiswal,
  • Kishor Thakre,
  • Prateek Nigam

摘要

The distribution system is always burdened with versatile linear, non-linear, and sensitive load patterns. These loads are vulnerable to voltage fluctuations. Hence, compensating devices are installed to regulate the bus voltages. One such promising voltage regulator is the Dynamic Voltage Restorer (DVR). DVR topologies along with its control architecture has been reviewed in this paper. A detailed discussion is given for the controller design. The state of the art of DVR is its Reference Voltage Generation (RVG) Techniques. Convergence time and accuracy of RVG directly affects the response time and compensation accuracy of the control scheme. A detailed review of all these techniques is also presented in this paper. DVR topologies have a wide range of designs for the controller employing optimization techniques with intelligent algorithm like fuzzy, neural, PSO, etc. All these techniques are used in the fast computing of controller parameters, which helps to improve performance under dynamic conditions which has been reviewed. Real time results are also presented to validate the performance of the hybrid techniques. In this paper a comparative results using OP-5600 OPAL-RT simulators are shown with conventional-PI controller and hybrid fuzzy-PI based DVR.