Fuzzy Control Systems for Power Quality Improvement-A Systematic Review Exploring Their Efficacy and Efficiency

被引:2
作者
Miron, Anca [1 ]
Cziker, Andrei C. [1 ]
Beleiu, Horia G. [1 ]
机构
[1] Tech Univ Cluj Napoca, Dept Elect Power Syst & Management, 28 Memorandumului St, Cluj Napoca 400114, Romania
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 11期
关键词
fuzzy control system; fuzzy logic controller; intelligent control systems; power quality; reactive power; harmonics; voltage variations; frequency control; control device; power systems; LOAD FREQUENCY CONTROL; DYNAMIC VOLTAGE RESTORER; REACTIVE POWER; LOGIC CONTROLLER; FILTER; IMPLEMENTATION; GENERATOR; ALGORITHM; DESIGN; OPTIMIZATION;
D O I
10.3390/app14114468
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Fuzzy-based control systems have demonstrated a remarkable ability to control nonlinear processes, a characteristic commonly observed in power systems, particularly in the context of power quality enhancement. Despite this, an updated and comprehensive literature review on the applications of fuzzy logic in the domain of power quality control has been lacking. To address this gap, this study critically examines published research on the effective and efficient use of fuzzy logic in resolving quality issues within power systems. Data sources included the Web of Science and academic journal databases, followed by an evaluation of target articles based on predefined criteria. The information was then classified into seven categories, including control system type, features of the fuzzy logic controller, fuzzy logic inference strategy, power quality issue, control device, implementation methodology (efficacy testing), and efficiency improvement. Our study revealed that fuzzy-based control systems have evolved from simple type-1 fuzzy controllers to advanced control systems (type-2 fuzzy and hybrid) capable of effectively addressing complex power quality issues. We believe that the insights gained from this study will be useful to both experienced and inexperienced researchers and industry engineers seeking to leverage fuzzy logic to enhance power quality control.
引用
收藏
页数:28
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