Chapter Power Quality Standards

2020 ◽  
pp. 542-547
Keyword(s):  
Power Quality ◽  
Quality Standards

scholarly journals A general review of power quality standards and terminologies

2021 ◽  
Vol 23 (12) ◽  
pp. 102-145
Author(s):  
V.A Deshmukh ◽  
◽  
B. Sridhar ◽  
Keyword(s):  
Energy Conservation ◽  
Power Quality ◽  
Power Converters ◽  
Quality Standards ◽  
Financial Loss ◽  
Nonlinear Loads ◽  
Network Interconnection ◽  
General Review ◽  
Ac Power ◽  
Analytical Quantification

In the next few years, more than 80% of AC power is to be processed through power converters owing to their benefits of energy conservation, flexibility, network interconnection, and weight and volume reduction in a number of equipment such as lighting arrestors, HVAC computers, fans, and so on.This paper gives an introduction on power quality (PQ), causes and effects of power quality problems. It also deals with power quality definitions, terminologies, standards, bench-marks, monitoring requirements, financial loss, and analytical quantification. It also discusses various types of nonlinear loads, which cause these power quality problems, they are illustrated, classified, modeled, quantified, and analyzed forassociated power quality issues.

scholarly journals SCRIPT FILES APPROACH IN THE POWER QUALITY EVENTS GENERATION

2018 ◽  
Vol 17 (2) ◽  
pp. 93
Author(s):  
Dragan Živanović ◽  
Milan Simić ◽  
Dragan Denić ◽  
Živko Kokolanski
Keyword(s):  
Power Quality ◽  
Virtual Instrument ◽  
Quality Standards ◽  
Signal Generation ◽  
Phase Voltage ◽  
Virtual Instrumentation ◽  
Specific Test ◽  
Three Phase ◽  
Long Time ◽  
Flexible Generation

Generation of typical power quality (PQ) events, based on Script files and virtual instrumentation, is presented in this paper. Such approach provides definition and generation of three-phase voltage signals with various PQ events defined according to relevant international quality standards. Using of Script files enables easy and flexible generation of long-time voltage signals with complex PQ disturbances, according to the predefined test algorithms and scenarios. Detailed front panels and block diagrams of developed virtual instrument for signal generation are described in the paper. As specific examples, generated signals defined using the Script files are presented. Experimental confirmation of described software supported method is performed using the three-phase PQ analyzer Fluke 435. Some specific test waveforms and obtained experimental results are shown.

Optimal Selective Harmonic Mitigation Technique on Variable DC Link Cascaded H-Bridge Converter to Meet Power Quality Standards

2016 ◽  
Vol 4 (3) ◽  
pp. 1107-1116 ◽  
Author(s):  
Mohammad Najjar ◽  
Amirhossein Moeini ◽  
Mohammad Kazem Bakhshizadeh ◽  
Frede Blaabjerg ◽  
Shahrokh Farhangi
Keyword(s):  
Power Quality ◽  
Quality Standards ◽  
Harmonic Mitigation ◽  
Mitigation Technique

Low Budget Experimental Setup for Harmonic Detection and Correction

2017 ◽  
Vol 871 ◽  
pp. 3-10
Author(s):  
Ralf Böhm ◽  
Martin Paulsburg ◽  
Tim Hamann ◽  
Jörg Franke
Keyword(s):  
Power Quality ◽  
Digital Signal ◽  
Quality Standards ◽  
Laboratory Model ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Analog To Digital ◽  
Advantages And Disadvantages ◽  
Network Operation ◽  
Automated Processing

Adherance of power quality standards is crucial for electricity network operation and bothindustrial and private customers. However, the transition to electricity supply based on renewable, de-centralized plants which feed in using inverters is accompanied by challenges regarding compliancewith power quality standards. Accordingly, detection and automated processing of relevant variablesof power quality is of increased importance. Digital signal processing offers various approaches of sig-nal evaluation each having individual advantages and disadvantages regarding different power qualityvariables. As a result of incresing decentralized feed in of regenerative plats using inverters, the si-nusoidal fundamental of the power system is distorted and harmonics occur. For elimination of thoseunwanted signal components, a variety of methods is available. Supple- menting current research ac-tivites a laboratory model of an active filter using low budget prototyping hardware is developed andevaluated. Therefore, an experimental circuit containing a band pass filter for signal adjustment aswell as a PWM with amplification circuit for signal correction have been elaborated. Necessary cal-culations are performed by a standard Atmel microprocessor as used by Arduino Uno, including an8-bit analog to digital converter (ADC).

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