DocumentCode :
267523
Title :
Impact evaluation of PV generation on LV networks
Author :
Supponen, Antti ; Repo, Sami
Author_Institution :
Dept. of Electr. Eng., Tampere Univ. of Technol., Tampere, Finland
fYear :
2014
fDate :
18-22 Aug. 2014
Firstpage :
1
Lastpage :
7
Abstract :
In distribution network planning, network loads are modeled with customer class specific load profiles. These profiles use hourly values of expected power and its standard deviation to represent the probability distribution of hourly load for a certain customer class. This paper demonstrates a method for evaluating network impacts of grid connected small scale distributed photovoltaic (PV) generation using a similar concept. The method is based on synthetic solar irradiance time series of hourly resolution incorporating the randomness associated with PV generation. The network impacts are evaluated with Monte Carlo simulations with a model of an actual low voltage (LV) network The results are then compared with Automatic meter reading (AMR) measurements from the modeled network and production measurements from an actual PV system.
Keywords :
Monte Carlo methods; distributed power generation; photovoltaic power systems; power distribution planning; power system measurement; power system simulation; statistical distributions; sunlight; time series; AMR measurements; LV network; Monte Carlo simulations; PV generation; PV system; automatic meter reading measurements; distributed photovoltaic generation; distribution network planning; low voltage network; network loads; network measurements; probability distribution; production measurements; synthetic solar irradiance time series; Indexes; Load modeling; Mathematical model; Random variables; Temperature measurement; Time series analysis; Uncertainty; DG; LV network impacts; PV generation; Solar irradiance uncertainty; Synthetic irradiance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Computation Conference (PSCC), 2014
Conference_Location :
Wroclaw
Type :
conf
DOI :
10.1109/PSCC.2014.7038331
Filename :
7038331
Link To Document :
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