Development of a Probabilistic Tool Using Monte Carlo Simulation and Smart Meters Measurements for the Long Term Analysis of Low Voltage Distribution Grids with Photovoltaic Generation
[en] Connections of distributed generation (DG) units based on the use of photovoltaic cells are highly increasing in low voltage distribution grids. In that way, one of the major problems met by the Distribution System Operators (DSO) comes from overvoltage in the neighbourhood of dispersed units. Consequently, it is important for them to have an analysis tool that computes statistical voltage profiles and allows to assess maximal penetration rates of photovoltaic generation (PV) on low voltage (LV) distribution feeders. In previous studies, it has been shown that such a tool could be obtained by using a Probabilistic Load Flow based on analytical techniques or Monte Carlo methods.
In this paper, given its simplicity of implementation, a pseudo-chronological Monte Carlo simulation is used and the statistical behaviour of prosumers (consumers with PV units) is directly based on smart meters measurements. Thanks to this tool, and using collected measurements from smart meters that are expected to be massively deployed in the future, it will be possible for the DSO to directly assess voltage profiles at all the nodes of the LV grid. Moreover, in the context of alleviating the impact of photovoltaic generation on the recorded voltage profiles, smart meters data will also be used in order to not only quantify the influence of reactive power flows on the collected results but also to estimate the auto-consumption potential over some critical nodes of the grid.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Vallée, François ; Université de Mons > Faculté Polytechnique > Génie Electrique ; Université de Mons > Faculté Polytechnique > Physique Générale
Klonari, Vasiliki ; Université de Mons > Faculté Polytechnique > Génie Electrique
Lisiecki, Thomas
Durieux, Olgan
Moiny, Francis ; Université de Mons > Faculté Polytechnique > Service de Physique Générale
Lobry, Jacques ; Université de Mons > Faculté Polytechnique > Génie Electrique
Language :
English
Title :
Development of a Probabilistic Tool Using Monte Carlo Simulation and Smart Meters Measurements for the Long Term Analysis of Low Voltage Distribution Grids with Photovoltaic Generation
Publication date :
03 May 2013
Journal title :
International Journal of Electrical Power and Energy Systems
J. Widen, E. Wackelgard, J. Paatero, and P. Lund Impacts of distributed photovoltaics on network voltages: stochastic simulations of three Swedish low-voltage distribution grids Electric Power Syst Res 80 2010 1562 1571
S. Conti, and S. Raiti Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaïc generators Sol Energy 81 2007 1473 1481 (Pubitemid 350166424)
S. Conti, S. Raiti, G. Tina, and U. Vagliasindi Integration of multiple PV units in urban power distribution systems Sol Energy 75 2003 87 94 (Pubitemid 37348097)
European Regulators Group for Electricity and Gas. Towards voltage quality regulation in, Europe; 2006.
Ausgrid. Electricity Network Operation Standards; October 2011.
J.C. Hernandez, F.J. Ruiz-Rodriguez, and F. Jurado Technical impact of photovoltaic-distributed generation on radial distribution systems: stochastic simulations for a feeder in Spain Electr Power Energy Syst 50 2013 25 32
F.J. Ruiz-Rodriguez, J.C. Hernandez, and F. Jurado Probabilistic load flow for photovoltaic distributed generation using the Cornish-Fisher expansion Electr Power Energy Syst 89 2012 129 138
P. Zhang, W. Li, S. Li, Y. Wang, and W. Xiao Reliability assessment of photovoltaic power systems: review of current status and future perspectives Appl Energy 104 2013 822 833
R. Billinton, and B. Bagen Generating capacity adequacy evaluation of small stand-alone power systems containing solar energy Reliab Eng Syst Saf 91 2006 438 443 (Pubitemid 43031346)
R. Billinton, and R. Karki Reliability/cost implications of utilizing photovoltaics in small isolated power systems Reliab Eng Syst Saf 79 2003 11 16
R.M. Moharil, and P.S. Kulkarni Reliability analysis of solar photovoltaic system using hourly mean solar radiation data Sol Energy 84 2010 691 702
I.T. Papaioannou, A. Purvins, and E. Tzimas Demand shifting analysis at high penetration of distributed generation in low voltage grids Electr Power Energy Syst 44 2013 540 546
F. Vallée, J. Lobry, and O. Deblecker Impact of the wind geographical correlation level for reliability studies IEEE Trans Power Syst 22 4 2007 2232 2239 (Pubitemid 350142025)
K. Turytsin, P. Sulc, S. Backhaus, and M. Chertkov Options for control of reactive power by distributed photovoltaic generators Proc IEEE 99 6 2011 1063 1073
M. Fabrizio, B. Lazzari, and A. Morro Mathematical models and methods for smart materials Ser Adv Math Appl Sci 2002 62
D.C. Howell, M. Rogier, V. Yzerbyt, and Y. Bestgen Statistical methods in human sciences Ed De Boeck 2007 [chap. 4 and 9]
Begovic, Pregelj MA, Rohatgi A, Novosel D. Impact of renewable distributed generation on power systems. In: Proceedings of the 34th Hawaï international conference on system sciences; 2001. p. 1-10.