Indices for assessing harmonic distortion from power quality measurements: definitions and benchmark data

Sabin, D.D.; Brooks, D.; Sundaram, A.

doi:10.1109/61.754093

Cited by 59 publications

(15 citation statements)

References 7 publications

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“…Usually recordings (e.g., 7 days) are conducted at the site, histograms are created yielding occurrence information. Then from the probability distribution, probabilities for the states of nature can be determined [9], [10].…”

Section: A Define the Problem And Objectives (Block A Inmentioning

confidence: 99%

Decision Theory Process for Making a Mitigation Decision on Harmonic Resonance

Atkinson-Hope

Folly²

2004

IEEE Trans. Power Delivery

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A three-stage process for making a harmonic resonance mitigation decision in an end-user power plant is developed. Two new indices are developed to assist in making the decision. The first index assesses the severity of resonance and the second is used to make a mitigation decision. In Stage 1, a quantitative model is developed to structure and represent the decision problem with the harmonic resonance severity index as the objective function. In Stage 2, "Utility Theory" is used as the decision criterion to select the most desirable capacitor size. In Stage 3, the mitigation index is applied to assess whether mitigation is needed or not for the chosen capacitor. A case study, based on a model made up of three end-users is conducted to demonstrate the effectiveness of this new process. Index Terms-Decisiontable, decision theory process, mitigation decision, severity of harmonic resonance, utility theory.

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Section: A Define the Problem And Objectives (Block A Inmentioning

confidence: 99%

Decision Theory Process for Making a Mitigation Decision on Harmonic Resonance

Atkinson-Hope

Folly²

2004

IEEE Trans. Power Delivery

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“…The characteristics of the transient load signatures are variable (time, shape, size) because transient measurements depend on the exact value of the voltage at the start/stop time - Figure 8 [34], [23]. Transient displays are used to identify electrical devices which have similar signatures to steady state (but unique transient characteristics when switching between stable states) [31], [35], and [36]. The major disadvantage of the transient analysis is the cost of the equipment used due to their high sampling frequency Also the development of a signature database of unique transient models is another step back.…”

Section: Loads Signatures Based On the Transient Detectionmentioning

confidence: 99%

Load Monitoring Solutions for the Smart Buildings – An Overview

Argatu

Enache

et al. 2018

The Scientific Bulletin of Electrical Engineering Faculty

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The development of intelligent smart grids requires new electrical monitoring solutions in order to optimize power consumption. The implementation of intelligent energy-monitors leads to new technical developments to optimize consumption using intrusive and non-intrusive techniques. This paper makes a review of the main methods used for load monitoring systems, indicating their advantages and disadvantages. The emergence of high-harmonic consumer electronics in electrical networks such as LED lighting sources implies the choice of the appropriate method and equipment for optimizing energy consumption based on energy signatures.

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“…Recently, however, with the increasing application of nonlinear devices and capacitor banks in industrial systems, concerns about the monitoring and analysis of the causes and effects of these distortions have increased, making the electric sector agents designate more resources for the observation of these phenomena [1]. This awareness is the result of increased levels of harmonic distortion in many PSs and can be seen through new regulations in the electricity sector.…”

Section: Introductionmentioning

confidence: 98%

Power system harmonics estimation using Particle Swarm Optimization

Rabelo

Lemos

Barbosa

2012

2012 IEEE Congress on Evolutionary Computation

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The three-phase voltage and current waveforms from a Power System (PS) are not considered pure sinusoids due to the presence of, among others, the harmonic distortion. This work presents an approach based on the Particle Swarm Optimization (PSO) method for the harmonic component estimation in a PS. PSO is a technique of search/optimization that models the social behavior observed in many species of birds, schooling fish and even human social behavior. The technique uses a population of particles to search inside a multidimensional search space. The objective of the PSO is to adjust the speed and position of each particle, seeking for the best solution within the search space. The results demonstrate that the method can precisely identify the harmonic components in the distorted waveforms and it shows considerable advantages if compared to the most common algorithm for this purpose, the Discrete Fourier Transform.

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Indices for assessing harmonic distortion from power quality measurements: definitions and benchmark data

Cited by 59 publications

References 7 publications

Decision Theory Process for Making a Mitigation Decision on Harmonic Resonance

Decision Theory Process for Making a Mitigation Decision on Harmonic Resonance

Load Monitoring Solutions for the Smart Buildings – An Overview

Power system harmonics estimation using Particle Swarm Optimization

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