Impact of aggregate linear load modeling on harmonic analysis: a comparison of common practice and analytical models

Burch, Reuben F.; Chang, G.W.; Hatziadoniu, Constantine J.; Grady, M.; Liu, Y.; März, Martin; Ortmeyer, T.H.; Ranade, Satish J.; Ribeiro, Paulo F.; Xu, Wenyuan

doi:10.1109/tpwrd.2003.810492

Cited by 100 publications

(44 citation statements)

References 4 publications

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“…Various different approaches are known in the literature. [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] Classifi cation in IEC standard IEC 61000-3-2 Loads of electricity up to 16 A, and their allowed emissions according to the harmonic distribution network, are discussed in the IEC standard IEC 61000-3-2. 7 In these standards small loads are classifi ed in four classes (groups), depending on the level of allowed harmonics which can be tolerated by the power system: Class A (Three-phase symmetrical load; Household appliances, except those in Class D; Audio equipment; Light dimmers; a variety of tools, except those put in Class B), Class B (Portable tools), Class C (Lighting equipment, except with Incandescent bulbs) and Class D (Personal computers; PC monitors; TV receivers; Single phase loads up to 600 W).…”

Section: Main Classifi Cation Approachesmentioning

confidence: 99%

Power Quality-Based Classification and Modelling of Small Loads and Generators

Mujović

Katić

Radovic

2010

The International Journal of Electrical Engineering & Educa

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The paper presents an overview of existing methods of classifi cation of small loads and generators, giving a new approach to this issue. This new approach divides loads according to their consumed current-time waveform distortion and generators according to generated output voltage wave shape, i.e. power quality issues. For each of the selected categories an adequate mathematical (mathematical relation) and computer simulation model has been developed. The model is verifi ed by results of laboratory measurements. The proposed approach is more suitable for practical application than previously proposed classifi cations as it facilitates obtaining information about the level of higher harmonics, without knowledge of the internal device structure. Further, it can be easily applied in practical laboratory setups to facilitate teaching at both undergraduate and postgraduate levels.

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Section: Main Classifi Cation Approachesmentioning

confidence: 99%

Power Quality-Based Classification and Modelling of Small Loads and Generators

Mujović

Katić

Radovic

2010

The International Journal of Electrical Engineering & Educa

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“…In harmonic analysis, a transmission line, a generator and a transformer were modeled as a p-model, a subtransient reactance and a short-circuit impedance respectively. The impedance model #2 given in [24] was used to model linear loads in the harmonic domain. The harmonic measurement vector obtained by harmonic power flow was used in ICA for the estimation of harmonic sources.…”

Section: Harmonic Load Estimationmentioning

confidence: 99%

Independent Component Analysis for Harmonic Studies

Ribeiro

2009

Time‐Varying Waveform Distortions in Power Systems

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“…Historically, the majority of the loads connected at the Point of Common Coupling (PCC) have been linear in nature [2]. The majority of problems came from customers who had a high degree of cycling in their systems (such as the on/off cycling of direct on line induction motors) [3][4][5] 0-7803-9772-X/06/$20.00 ©2006 IEEE the advent of power electronics, the problem of harmonics due to nonlinear loads has become increasingly apparent. With the rapid proliferation of automated equipment and electronic converter based power processing, it has become essential to develop real-time condition monitoring, condition prediction, and load modeling techniques.…”

Section: Introductionmentioning

confidence: 99%

“…A detailed literature survey and review identifies numerous possibilities of loads on a three-phase four-wire supply system [2][3][4][5][6][7][8][9][10][11][12]. This makes distributed load systems a complex network inherited with several operational problems, such as harmonics and ever-changing nature of the loads.…”

Section: Introductionmentioning

confidence: 99%

A Novel Technique for Identification and Condition Monitoring of Nonlinear Loads in Power Systems

Gilreath

Peterson

Singh

2006

2006 International Conference on Power Electronic, Drives and Energy Systems

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This paper deals with Centroid-Concordia patterns for characterization of harmonic producing three-phase loads in a power system distribution network. The three-phase currents (i a , i b , and i c ) at the Point of Common Coupling (PCC) are sensed and processed through the Concordia mathematical formulation resulting in two-phase orthogonal currents (i α -i β ). The currents (i α -i β ) are used to obtain the Concordia patterns needed for centroid calculation. The centroid of the Concordia pattern reveals characteristics of the load connected at the PCC. In the majority of cases, the developed Concordia patterns do not differ much from each other as the centroid remains at the origin; this leads to a failure if conventional Concordia patterns are used to discern faults and condition monitoring of loads at power system distribution. Therefore, we proposed modified Concordia pattern methods. In the modified Concordia pattern, we exploit pattern symmetry around the α-β axes of the transform currents (i α -i β ).The computed value of the centroid of the modified Concordia pattern can be used to develop a drift pattern of the centroid location. Using the drift pattern over time, deterioration of system condition can be monitored and discerned. The drift pattern will allow us to develop the mathematical formulation for load modeling. This is an important aspect of the proposed investigation due to an increasing proliferation of nonlinear loads on aging power system network. The proposed method will be simple, non-invasive, and require reduced data sets and memory; therefore, it may prove to be easier for real-time load modeling, condition monitoring, and condition prediction for an ever changing nature of loads on power system networks.

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Impact of aggregate linear load modeling on harmonic analysis: a comparison of common practice and analytical models

Cited by 100 publications

References 4 publications

Power Quality-Based Classification and Modelling of Small Loads and Generators

Power Quality-Based Classification and Modelling of Small Loads and Generators

Independent Component Analysis for Harmonic Studies

A Novel Technique for Identification and Condition Monitoring of Nonlinear Loads in Power Systems

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