Probabilistic Approach to the Design of Photovoltaic Distributed Generation in Low Voltage Feeder

Author

Viawan, Ferry A. ; Vuinovich, Ferruccio ; Sannino, Ambra

Author_Institution

Dept. of Electr. Power Eng., Chalmers Univ. of Technol., Goteborg

fYear

2006

fDate

11-15 June 2006

Firstpage

1

Lastpage

7

Abstract

This paper presents the probabilistic approach to the design of photovoltaic (PV) distributed generation (DG) and its impact on low voltage (LV) feeder. Monte Carlo simulation is used to predict solar radiation and load, and an exact method is used to solve the power flow. The method is tested on two study cases, and the results are compared with those from deterministic approach based on commonly used scenarios. The probabilistic approach is shown necessary to obtain the optimum PV rating based on technical constraints and different objectives, including accepting a reasonable risk when needed. The results also indicate that PV-DG in a realistic case will most probably improve the voltage profile and decrease the losses on LV feeders

Keywords

Monte Carlo methods; distributed power generation; distribution networks; load flow; load forecasting; photovoltaic power systems; probability; solar power stations; Monte Carlo simulation; PV-DG; load prediction; low voltage feeder; photovoltaic distributed generation; power flow; probabilistic approach; solar radiation prediction; Costs; Distributed control; Load flow; Low voltage; Medium voltage; Photovoltaic systems; Reactive power; Solar power generation; Solar radiation; Testing; Distributed Generation (DG); Photovoltaics (PV); losses; power flow; probability; voltage drop;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on

Conference_Location

Stockholm

Print_ISBN

978-91-7178-585-5

Type

conf

DOI

10.1109/PMAPS.2006.360272

Filename

4202284