Hernandez-Bayo, araceli

Milanovic, Jovica V.

Rodrıguez-Pajaron, Pablo

English

This paper proposes a methodology to assess the influence of transformer rated power on the power qualityindices in future low voltage residential networks. Taking into account the stochastic nature of residential loadsand the possibility of photovoltaic generation, a Monte Carlo methodology is developed in order to account forthe probabilistic aspects of the problem. In this work, different transformer ratings are simulated and the effecton power quality parameters, such as voltage unbalance and voltage total harmonic distortion, is assessed usingprobabilistic approach. These power quality indices are compared to the compliance limits proposed in standardEN50160. Several case studies are presented for two different networks, the IEEE European Low Voltage networkand a larger 471-buses residential network. These studies allow establishing general conclusions regardingdesirable transformer size in order not to exceed power quality limits and considering the influence of photovoltaicgeneration on power quality parameters

The University of Manchester - Institutional Repository

Probabilistic assessment of the influence of transformer rating on power quality indices in future residential networks

https://pure.manchester.ac.uk/ws/files/232445702/Probabilistic_assessment_of_the_influence_of_transformer.pdf

Probabilistic assessment of the influence of transformer rating on power quality indices in future residential networks

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The University of Manchester - Institutional Repository