A Novel Probablistic Strategy for Modeling Photovoltaic Based Distributed Generators
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32807
A Novel Probablistic Strategy for Modeling Photovoltaic Based Distributed Generators

Authors: Engy A. Mohamed, Yasser G. Hegazy

Abstract:

This paper presents a novel algorithm for modeling photovoltaic based distributed generators for the purpose of optimal planning of distribution networks. The proposed algorithm utilizes sequential Monte Carlo method in order to accurately consider the stochastic nature of photovoltaic based distributed generators. The proposed algorithm is implemented in MATLAB environment and the results obtained are presented and discussed.

Keywords: Comulative distribution function, distributed generation, Monte Carlo.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1108793

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2438

References:


[1] F.J. Ruiz-Rodriguez, J.C. Hernandez and F. Jurado “Probabilistic load flow for radial distribution networks with photovoltaic generators” IET Renew. Power Gener., Vol. 6, no. 2, pp. 110–121, 2012.
[2] Y.M. Atwa, E.F El saadany, M.A. salama and R. seethapathy, “Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization” IEEE Trans. Power Syst., vol. 25, no. 1, pp. 360- 370, Feb. 2010.
[3] A. Soroudi, M. Aien, and M. Ehsan “A Probabilistic Modeling of Photovoltaic Modules and Wind Power Generation Impact On Distribution Network”, IEEE system journal, vol. 6, no. 2, pp. 254-259, JUN. 2012.
[4] Radwa Sayed, Y. G. Hegazy, and M. A. Mostafa “Modeling of Photovoltaic Based Power Stations for Reliability Studies Using Markov Chains” International Conference on Renewable Energy Research and Applications, Madrid, Spain, 20-23 October 2013.
[5] G. Eason, B. Noble, and I.N. Sneddon, “On certain integrals of Lipschitz-Hankel type involving products of Bessel functions,” Phil. Trans. Roy. Soc. London, vol. A247, pp. 529-551, April 1955. (references)
[6] Z. Ren, W. Yan, , X. Zhao, , W. Li, and Juan Yu, “Chronological Probability Model of Photovoltaic Generation” IEEE Trans. Power Syst., vol. 29,no.3, pp. 1077-1088, May. 2014.
[7] F. Attivissimo, A. Di Nisio, M. Savino, and M. Spadavecchia “Uncertainaity Analysis in Photovoltaic Cell Parameter Estimation” IEEE Trans. On Instr. And measure., vol. 61, no. 5, pp.1334-1342, May. 2012.
[8] A. Y. Abdelaziz, Y. G. Hegazy, W. El-Khattam and M. M. Othman, ‘Optimal Allocation of Stochastically Dependent Renewable Energy Based Distributed Generators in Unbalanced Distribution Networks’, Elec. Power. Syst. Res, Vol. 119, pp. 34-44, Feb. 2015.
[9] Qian Zhao, Peng Wang, Lalit Goel, Yi Ding, Evaluation of nodal reliability risk ina deregulated power system with photovoltaic power penetration, IET Gener.Transm. Distrib. Vol. 3, pp.421–430, 2014.
[10] Pierluigi Siano, and Geev Mokryani, “Probabilistic Assessment of Impact of Wind Energy Integration Into Distribution Network” , IEEE Trans. Power Syst. , vol. 28,no. 4, pp. 4209-4217, Nov. 2013.