Performance and Power Quality Improvements of MEA Power Distribution Systems using Model Predictive Control

2017 ◽  
Vol 10 (1) ◽  
pp. 31 ◽  
Author(s):  
Ahmad Eid ◽  
Reyad Abdel-Fadil ◽  
Mazen Abdel-Salam
Author(s):  
Filipe Perez ◽  
Henry Leonardo López-Salamanca ◽  
Lúcio de Medeiros ◽  
Ricardo Schumacher ◽  
Leonardo Fuchs ◽  
...  

Author(s):  
M. Jawad Ghorbani ◽  
Hossein Mokhtari

This paper investigates the harmonic distortion and losses in power distribution systems due to the dramatic increase of nonlinear loads. This paper tries to determine the amount of the harmonics generated by nonlinear loads in residential, commercial and office loads in distribution feeders and estimates the energy losses due to these harmonics. Norton equivalent modeling technique has been used to model the nonlinear loads. The presented harmonic Norton equivalent models of the end user appliances are accurately obtained based on the experimental data taken from the laboratory measurements. A 20 kV/400V distribution feeder is simulated to analyze the impact of nonlinear loads on feeder harmonic distortion level and losses. The model follows a “bottom-up” approach, starting from end users appliances Norton equivalent model and then modeling residential, commercial and office loads. Two new indices are introduced by the authors to quantize the effect of each nonlinear appliance on the power quality of a distribution feeder and loads are ranked based on these new defined indices. The simulation results show that harmonic distortion in distribution systems can increase power losses up to 20%.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1202
Author(s):  
Krzysztof Piatek ◽  
Andrzej Firlit ◽  
Krzysztof Chmielowiec ◽  
Mateusz Dutka ◽  
Szymon Barczentewicz ◽  
...  

Quality of power supply in power distribution systems requires continuous measurement using power quality analyzers installed in the grid. The paper reviews the published methods for optimal location of metering points in distribution systems in the context of power quality metering and assessment. Three methods have been selected for detailed analysis and comparative tests. It has been found that utilization of the methods is possible, but their performance varies highly depending on the test grid’s topology. Since the methods rely on the state estimation approach, their performance is strictly related to observability analysis. It has been found that standard observability analysis used for typical state estimation problem yields ambiguous results when applied to power quality assessment. Inherited properties of the selected methods are also analyzed, which allows for the formulation of general recommendations about optimal selection of metering points in a distribution system.


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