scholarly journals Battery‐supported unified power quality controller for small hydro‐based isolated power generation

2021 ◽  
Author(s):  
Sachin Tiwari ◽  
Seema Kewat ◽  
Bhim Singh ◽  
Chandrakala Devi Sanjenbam
Keyword(s):  
Power Generation ◽  
Power Quality ◽  
Quality Controller

Simulation and Implementation of a Domestic Wind Power Generation Scheme with Improved Power Quality

2016 ◽  
Vol 9 (6) ◽  
pp. 365
Author(s):  
Jayahar Damodaran ◽  
K. Rathnakannan ◽  
R. Ranihemamalini
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Power Quality ◽  
Wind Power Generation

Power Quality Controller using Remote Control System

2021 ◽  
Author(s):  
Yasmin Nasser Mohamed ◽  
Ibraheem Shayea ◽  
Sajjad Ahmad Khan ◽  
Ayman A. El-Saleh ◽  
Mardeni Roslee
Keyword(s):  
Control System ◽  
Remote Control ◽  
Power Quality ◽  
Remote Control System ◽  
Quality Controller

Control Strategy Analysis of a Novel Transformerless Unified Power Quality Controller Based on Ultracapacitor and TRIAC

2021 ◽  
Author(s):  
Chen Shi ◽  
Kun Dong ◽  
Jianfeng Zhao ◽  
Han Yan ◽  
Wei Liu
Keyword(s):  
Power Quality ◽  
Control Strategy ◽  
Strategy Analysis ◽  
Quality Controller

Comprehensive Evaluation on Power Quality of Tidal Current Convertors

2019 ◽  
Vol 53 (3) ◽  
pp. 46-53
Author(s):  
Caixia Xue ◽  
Xiang-nan Wang ◽  
Ning Jia ◽  
Yuan-fei Zhang ◽  
Hai-nan Xia
Keyword(s):  
Power Generation ◽  
Support Vector Machine ◽  
Power Quality ◽  
Tidal Current ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Support Vector ◽  
Operational Data ◽  
Testing And Evaluation

AbstractWith the continuous development of testing and evaluation of tidal current convertors, power quality assessment is becoming more and more critical. According to the characteristics of Chinese tidal current power generation and power quality standards, this paper proposes a comprehensive evaluation method of power quality based on K-means clustering and a support vector machine. The fundamental purpose of the method is to automatically select the weights of various indicators in the comprehensive assessment of power quality, by which the influence of subjective factors can be eliminated. In order to achieve the above purpose, K-means clustering is used for automatically classifying the operational data into five different categories. Then, a support vector machine is used to study and estimate the relationship of the operational data and categories. Using the method proposed in the paper, the analysis of operational data of a tidal current power generation shows that calculation results can objectively reflect the power quality of the device, and the influence of subjective factors is eliminated. The method can provide a reference for the testing and evaluation of a large amount of tidal current convertors in the future.

The study of injecting voltage calculation in three-phase series power quality controller

2003 ◽  
Author(s):  
Zhang Xiujuan ◽  
Tong Luyuan ◽  
Ma Weixin ◽  
Han Yingduo
Keyword(s):  
Power Quality ◽  
Three Phase ◽  
Quality Controller

Power quality improvement of wind energy conversion system with unified power quality controller: A hybrid control model

2020 ◽  
Vol 42 (11) ◽  
pp. 1997-2010
Author(s):  
Gowtham Nagaraju ◽  
Shobha Shankar
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Power Quality ◽  
Nonlinear Load ◽  
Wind Energy Conversion System ◽  
Inference System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System ◽  
Quality Controller

The real problems in diminution of power quality (PQ) occur due to the rapid growth of nonlinear load are leading to a sudden decrease of source voltage for a few seconds. All these problems can be compensated by unified power quality controller (UPQC). The proposed research is based on designing a wind energy conversion system (WECS) fed to the dc-link capacitor of UPQC so as to maintain proper voltage across it and operate the UPQC for PQ improvement. The proposed research utilizes two techniques for enhancing the performance of UPQC known as integrated ant lion optimizer (IALO)-adaptive neuro fuzzy inference system (ANFIS), called IALO-ANFIS. Here, induction motor is considered as non-linear load. ALO searching behavior is enhanced by crossover and mutation. Initially, the objective function parameters are defined, that is, voltage, real, grid parameters, load parameters, real and reactive power and current. Based on these parameters, the control pulse is produced for series and shunt active power filter (APF). IALO is used to identify the optimal solutions and creates the training dataset. In light of the accomplished dataset, ANFIS predicts the best control signals of UPQC. During load variation conditions, the proposed strategy minimized the power loss and voltage instability issue individually. Subsequently, the power quality of the system is enhanced. In order to evaluate the effectiveness of the proposed method, three different cases are considered. The performance of the proposed technique is validated through MATLAB/Simulink and compared with existing techniques such as genetic algorithm and ALO.

scholarly journals The Facility Planning and Electric Power Quality of the Saroma Lake Green Microgrid by the Interconnection of Tidal Power Generation, PV and SOFC

2013 ◽  
Vol 7 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Shin'ya OBARA ◽  
Osamu KAWAE ◽  
Yuta MORIZANE ◽  
Masahito KAWAI
Keyword(s):  
Power Generation ◽  
Electric Power ◽  
Power Quality ◽  
Facility Planning ◽  
Tidal Power ◽  
Electric Power Quality ◽  
Tidal Power Generation
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