Expert system targets power quality issues

Kazibwe, W.E.; Sendaula, H.M.

doi:10.1109/67.127821

Cited by 21 publications

(6 citation statements)

References 2 publications

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“…In the classification of electrical disturbances, all of the factors that make AI a powerful tool are present. We get information which is massive electrical signals are constantly being received and distorted; there is an important noise component so that a classification of the disturbances must be carried out [48]. The main intelligent tools for PQ classification include expert systems, fuzzy logic, and artificial neural networks.…”

Section: Artificial Intelligence Based Classification Methodsmentioning

confidence: 99%

Classification of Power Quality Disturbances in Electric Power System: A Review

Mittal¹

2012

IOSRJEEE

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The Electrical power quality issue has attained considerable attention in last decade due to large penetration of power electronics based loads and microprocessor based controlled loads. These devices introduce power quality problem on one hand and these mal-operate due to induced power quality problems on other hand. The various techniques for classification or recognition of power quality disturbances in electrical power system have been proposed so far in different papers. This paper presents a comprehensive overview of different techniques used for feature extraction and classification of power disturbance. This paper helps the researchers to know about the different methods presented so far for power quality disturbance classification or recognition, so that further work on power quality improvement can be carried out for better results.

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Section: Artificial Intelligence Based Classification Methodsmentioning

confidence: 99%

Classification of Power Quality Disturbances in Electric Power System: A Review

Mittal¹

2012

IOSRJEEE

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“…Reference (Styvaktakis et al, 2002) has also proposed an experts system for the classification and analysis of a number of power system events. Beside, few more papers (Kazibwe et al, 1992;Schlabbach 1994;Kezunovic et al, 1999;Reaz et al, 2007) have used the expert system as the PQ classifier. As the number of events or features increases, the complexity of the expert systems also increases.…”

Section: Expert System Based Classifiermentioning

confidence: 99%

Power quality event classification: an overview and key issues

Saxena¹,

Verma²,

Singh³

2010

Int. J. Eng. Sci. Tech

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Power quality (PQ) issue has attained considerable attention in the last decade due to large penetration of power electronics based loads and/or microprocessor based controlled loads. On one hand these devices introduce power quality problem and on other hand these mal-operate due to the induced power quality problems. PQ disturbances/events cover a broad frequency range with significantly different magnitude variations and can be non-stationary, thus, accurate techniques are required to identify and classify these events/disturbances. This paper presents a comprehensive overview of different techniques used for PQ events' classifications. Various artificial intelligent techniques which are used in PQ event classification are also discussed. Major Key issues and challenges in classifying PQ events are critically examined and outlined.

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“…With such an automated system, faster and more efficient analysis of the databases can be achieved. The issue of automatic analysis of various PQ disturbances has been addressed in the form of the development of expert systems for PQ event identification or the classification of disturbances such as transients and voltage sags [3] - [9]. The expert system for analyzing power system harmonics focuses on symptoms associated with harmonics related problems and providing possible solutions [3], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

“…The issue of automatic analysis of various PQ disturbances has been addressed in the form of the development of expert systems for PQ event identification or the classification of disturbances such as transients and voltage sags [3] - [9]. The expert system for analyzing power system harmonics focuses on symptoms associated with harmonics related problems and providing possible solutions [3], [10], [11]. This paper presents a new approach for automatic and intelligent identification of harmonic sources originating from nonlinear loads by classifying the different types of nonlinear loads that contribute harmonics to the supply system and then quantifying the harmonic distortion levels of each type of load.…”

Section: Introductionmentioning

confidence: 99%

A Rule Based Expert System for Identification of Harmonics Originating from Single Phase Nonlinear Loads

Mohamed¹,

Umeh

Hussain³

et al. 2006

International Journal of Emerging Electric Power Systems

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Presently, there is still a critical shortage of experts to interpret and diagnose problems associated with power system harmonics. Thus, the use of a rule based expert system is proposed for the identification of harmonic sources originating from various single phase nonlinear loads such as uninterruptible power supply, personal computer, fluorescent lamp with magnetic and electronic ballasts, PC monitor and oscilloscope. Identification of harmonics originating from single phase nonlinear loads is implemented by first analyzing the harmonic current waveforms using fractal and fast Fourier transform analyses so as to characterize the harmonic signatures of the different types of nonlinear loads. Then, a rule-based expert system is developed in which the system identifies and classifies the different types of nonlinear loads from the input current waveforms. The expert system with its user interface has been developed in MATLAB and it has been verified with real current measurements. The results obtained prove that the system enables accurate identification of nonlinear loads.

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Expert system targets power quality issues

Cited by 21 publications

References 2 publications

Classification of Power Quality Disturbances in Electric Power System: A Review

Classification of Power Quality Disturbances in Electric Power System: A Review

Power quality event classification: an overview and key issues

A Rule Based Expert System for Identification of Harmonics Originating from Single Phase Nonlinear Loads

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