scholarly journals An Innovative Fuzzy Based Power Quality Assessment Considering Short Circuit Level

2019 ◽  
Vol 8 (4) ◽  
pp. 10249-10252
Keyword(s):  
Power Quality ◽  
Quality Index ◽  
Quality Evaluation ◽  
Fuzzy Inference ◽  
Short Circuit ◽  
Harmonic Distortion ◽  
Total Harmonic Distortion ◽  
Quality Indices ◽  
Inference System ◽  
Pollution Factor

power quality evaluation is highly essential for modern power system to maintain proper accuracy for responsive equipment. There are various power quality indices which evaluates the power quality but it is highly crucial for combining all the indices into a single value which can evaluates the power quality successfully. Considering representative quality factor(RQPF), detailed pollution factor(DPF),total harmonic distortion(THD) and short circuit level(SCL)an untraditional power quality index can be evaluated. Fuzzy inference system has been implemented for doing the incorporation of different power quality indices. In this paper THD module is formed by the union of total harmonic distortion voltage(THDV) and total harmonic distortion current(THDI ) and THDSCL module is formed by the fusion of THD and SCL. The innovative THDSCL has better significance for measuring power quality Index

scholarly journals ANFIS control of a shunt active filter based with a five-level NPC inverter to improve power quality

2021 ◽  
Vol 11 (3) ◽  
pp. 1886
Author(s):  
Mahmoud Mostefa Tounsi ◽  
Ahmed Allali ◽  
Houari Merabet Boulouiha ◽  
Mouloud Denaï
Keyword(s):  
Power Quality ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Harmonic Distortion ◽  
Active Filter ◽  
Nonlinear Loads ◽  
Inference System ◽  
Shunt Active Filter ◽  
Neuro Fuzzy

This paper addresses the problem of power quality, and the degradation of the current waveform in the distribution network which results directly from the proliferation of the nonlinear loads. We propose to use a five-level neutral point clamped (NPC) inverter topology for the implementation of the shunt active filter (SAPF). The aim of the SAPF is to inject harmonic currents in phase opposition at the connection point. The identification of harmonics is based on the pq method. A neuro-fuzzy controller based on ANFIS (adaptive neuro fuzzy inference system) is designed for the SAPF. The simulation study is carried out using MATLAB/Simulink and the results show a significant improvement in the quality of energy and a reduction in total harmonic distortion (THD) in accordance with IEC standard, IEEE-519, IEC 61000, EN 50160.

scholarly journals Power Quality Assessment of Perturbed Power System Implementing Fuzzy Logic and Discrete Wavelet Transform

2019 ◽  
Vol 9 (1) ◽  
pp. 4711-4717
Keyword(s):  
Wavelet Transform ◽  
Power System ◽  
Discrete Wavelet Transform ◽  
Power Quality ◽  
Quality Index ◽  
Harmonic Distortion ◽  
Electric Power System ◽  
Total Harmonic Distortion ◽  
Discrete Wavelet ◽  
Non Linear

A novel power quality index (PQI) is determined in this paper which helps in determining the power quality under non-sinusoidal condition. Power quality monitoring is important due to exponential growth of non linear loads in electric power system. As non linear loads creates the distortion level in distribution system so it is highly necessary to measure power quality index. The innovative power quality index has been found out by considering three component such as Representative quality factor(RQPF), Detailed pollution factor(DPF), Total harmonic Distortion(THD). When total harmonic distortion of voltage(THDV) and Total harmonic distortion of current(THDI ) amalgamation occur then THD has been formed using fuzzy inference system. An experimental model has been developed to verify the PQI under different cases by measuring voltage and current both on the source side and utility side . The measured voltage and current are reformulated as wavelet function using discrete wavelet transform (DWT) to calculate referred power quality factors . This new power quality index has been validated through hardware model to justify its importance under different non-sinusoidal conditions.

Fuzzy Logic Controlled Harmonic Suppressor in Cascaded Multilevel Inverter

2016 ◽  
Vol 7 (2) ◽  
pp. 303
Author(s):  
Y. Lalitha Kameswari ◽  
O. Chandra Sekhar
Keyword(s):  
Fuzzy Logic ◽  
Power Quality ◽  
Fuzzy Inference ◽  
Harmonic Distortion ◽  
Multilevel Inverter ◽  
Inference System ◽  
Logic Control ◽  
Harmonic Reduction ◽  
Harmonic Elimination ◽  
Cascaded Multilevel Inverter

<p>This paper presents an investigation of seven level cascaded H-bridge (CHB) inverter in power system for compensation of harmonics.For power quality  control a Fuzzy Logic Control (FLC)  giving comparatively better harmonic reduction than the conventional controllers. Harmonic distortion is the most important power quality problem stirring in multilevel inverter, the harmonics can be eliminated by an optimal selection of switching angles. A hybrid evaluation technique evaluates the obtained optimal switching angles that are attained from the fuzzy inference system as well as neural network. The proposed method will be implemented in MATLAB working platform and the harmonic elimination performance will be evaluated.</p>

scholarly journals Evaluation of treated municipal wastewater effluent for agricultural irrigation purposes using the fuzzy effluent quality index (FEQI)

2019 ◽  
Vol 20 (1) ◽  
pp. 148-156
Author(s):  
Seyed Hesam Alihosseini ◽  
Ali Torabian ◽  
Farzam Babaei Semiromi
Keyword(s):  
Fuzzy Inference System ◽  
Quality Index ◽  
Municipal Wastewater ◽  
Fuzzy Inference ◽  
Treatment Plant ◽  
Wastewater Effluent ◽  
Inference System ◽  
Effluent Quality ◽  
Proposed Model ◽  
Treated Municipal Wastewater

Abstract The issues of freshwater scarcity in arid and semi-arid areas could be reduced via treated municipal wastewater effluent (TMWE). Artificial intelligence methods, especially the fuzzy inference system, have proven their ability in TMWE quality evaluation in complex and uncertain systems. The primary aim of this study was to use a Mamdani fuzzy inference system to present an index for agricultural application based on the Iranian water quality index (IWQI). Since the uncertainties were disregarded in the conventional IWQI, the present study improved this procedure by using fuzzy logic and then the fuzzy effluent quality index (FEQI) was proposed as a hybrid fuzzy-based index. TMWE samples of the Gheitarie wastewater treatment plant in Tehran city recorded from 2011 to 2017 were taken into consideration for testing the ability of the proposed index. The results of the FEQI showed samples categorized as ‘Excellent’ (21), ‘Good’ (10), ‘Fair’ (4), and ‘Marginal’ (1) for the warm seasons, and for the cool seasons, the samples categorized as ‘Excellent’, ‘Good’ and ‘Fair’ were 17, 18 and 1, respectively. Generally, a comparison between the IWQI and proposed model results revealed the FEQI's superiority in TMWE quality assessment.

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