Stochastic evaluation of voltage in distribution networks considering the characteristic of distributed generators

As the probabilistic load flow (PLF) approach is often applied in the assessment the voltage in the distribution system with the distributed generation, the intermittent power output of the distributed generators (DGs) should be more considered. The power variation characteristics of load and distributed generators should be treated separately. In this paper, taking the PV arrays for the typical example, the probability density function (PDF) of the DG is derived from the mathematical model of the power source and the PDF of its uncertain variables. The stochastic voltage evaluation via the PLF is processed by the 2 point estimate method (2 PEM). Besides, the possible network configurations with the relative probability are also considered, for analyzing the comprehensive case for the occurrence of network change. The proposed method will be tested with the modified IEEE 13-nodel feeder test system, and the data for the probabilistic evaluating features of all the nodal voltages distribution are obtained. The results can be used to help know the general and complete voltage effects.

[1]  F. Bastiao,et al.  Impact of distributed generation on distribution networks , 2008, 2008 5th International Conference on the European Electricity Market.

[2]  Ding Ming Probabilistic Evaluation of Static Voltage Stability Taking Account of Distributed Generation , 2010 .

[3]  J. S. Christensen,et al.  Probabilistic load flow calculation using Monte Carlo techniques for distribution network with wind turbines , 1998, 8th International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.98EX227).

[4]  Emilio Rosenblueth,et al.  Two-point estimates in probabilities , 1981 .

[5]  Thomas Ackermann,et al.  Wind Power in Power Systems , 2005 .

[6]  Chun-Lien Su,et al.  Stochastic Evaluation of Voltages in Distribution Networks With Distributed Generation Using Detailed Distribution Operation Models , 2010, IEEE Transactions on Power Systems.

[7]  W. H. Kersting,et al.  Radial distribution test feeders , 1991, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[8]  C. Cañizares,et al.  Probabilistic Optimal Power Flow in Electricity Markets Based on a Two-Point Estimate Method , 2006, IEEE Transactions on Power Systems.

[9]  Wang Wei-sheng,et al.  Influence of Distributed Photovoltaic Generation on Voltage in Distribution Network and Solution of Voltage Beyond Limits , 2010 .

[10]  N.D. Hatziargyriou,et al.  Voltage control settings to increase wind power based on probabilistic load flow , 2004, 2004 International Conference on Probabilistic Methods Applied to Power Systems.

[11]  E. Rosenblueth Point estimates for probability moments. , 1975, Proceedings of the National Academy of Sciences of the United States of America.

[12]  R. Chedid,et al.  Probabilistic performance assessment of autonomous solar-wind energy conversion systems , 1999 .

[13]  Liao Hua,et al.  Steady-state model and power flow analysis of grid-connected photovoltaic power system , 2008, 2008 IEEE International Conference on Industrial Technology.

[14]  Marcelo Gradella Villalva,et al.  Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.