Probabilistic Approach to the Design of Photovoltaic Distributed Generation in Low Voltage Feeder
Paper in proceedings, 2006

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.



Distributed Generation (DG)

Photovoltaics (PV)

power flow

voltage drop.


Ferry Viawan

Chalmers, Energy and Environment, Electric Power Engineering

F. Vuinovich

University of Palermo


Ambra Sannino


ABB Corporate Research Center

2006 9th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS; Stockholm; Sweden; 11 June 2006 through 15 June 2006

Art. no. 4202284-
9171783520 (ISBN)

Subject Categories

Other Electrical Engineering, Electronic Engineering, Information Engineering





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