Back
 EPE  Vol.9 No.4 B , April 2017
Research on Multi-Scale Modeling of Grid-Connected Distributed Photovoltaic Power Generation
Abstract:
The complexity of distribution network model mainly depends on the model scale of grid-connected distributed photovoltaic (PV) power generation. Therefore, the simulation performance of multi-scale PV model is the key factor of the simulation accuracy in the specific operating scenarios of distribution network. In this paper, a multi-scale model of grid connected PV distributed generation system is proposed based on the mathematical model of grid-connected distributed PV power generation. It is analyzed that differences of simulation performance, such as adaptability of simulation step size, accuracy of output and the effect on voltage profile of distribution network, between PV models with different scales in IEEE 33 node example. Simulation results indicate that the multi-scale model is effective in improving the accuracy and efficiency of simulation under different operating conditions of distribution network.
Cite this paper: Lv, C. , Sheng, W. , Liu, K. , Dong, X. (2017) Research on Multi-Scale Modeling of Grid-Connected Distributed Photovoltaic Power Generation. Energy and Power Engineering, 9, 127-140. doi: 10.4236/epe.2017.94B016.
References

[1]   Liu, S.C., Liu, P.X.P. and Wang, X.Y. (2016) Stability Analysis of Grid-Interfacing Inverter Control in Distribution Systems With Multiple Photovoltaic-Based Distributed Generators. IEEE Transactions on Industrial Electronics, 63, 7339-7348. https://doi.org/10.1109/TIE.2016.2592864

[2]   Zhang, X., Cao, R.X., etc. (2010) Solar PV grid-connected power generation and inverter control. Mechanical Industry Press, Beijing, 9.

[3]   Rahman, S.A., Varma, R.K. and Vanderheide, T. (2014) Generalised Model of a photovoltaic panel. IET Renewable Power Generation, 8, 217-229. https://doi.org/10.1049/iet-rpg.2013.0094

[4]   Ghasemi, M.A., Forushani, H.M. and Parniani, M. (2016) Partial Shading Detection and Smooth Maximum Power Point Tracking of PV Arrays Under PSC. IEEE Transactions on Power Electronics, 31, 6281-6292. https://doi.org/10.1109/TPEL.2015.2504515

[5]   Radvansky, M., Kudělka, M. and Snásel, V. (2014) Short Term Power Prediction Of The Photovoltaic Power Station Based on Comparison of Power Profile Sequences Using F-Score Computation. IEEE International Conference on Systems, Man, and Cybernetics, 3497-3502.

[6]   Huang, H.Q., Mao, C.X., Lu, J.M., et al. (2012) Small Signal Modeling and Analysis of PV Power Generation System. Proceeding of the CSEE, 22, 7-14+24.

[7]   Li, N.Y., Liang, J. and Zhao, Y.S. (2011) Study on dynamic modeling and stability of grid-connected PV power station. Proceeding of the CSEE, 10, 12-18.

[8]   Mishra, S., Ramasubramanian, D. and Sekhar, P. C. (2013) A Seamless Control Methodology for a Grid Connected and Isolated PV-Diesel Microgrid. IEEE Transactions on Power Systems, 28, 4393-4404. https://doi.org/10.1109/TPWRS.2013.2261098

[9]   Zhang, H. and Xie, K.G. (2014) Simulation and Analysis of PV Power Station Based on PSCAD. Power System Technology, 7, 1848-1852.

[10]   Baumann, K., Strache, S., Wunderlich, R., et al. (2013) Concept Study for Fully Integrated and Photovoltaic Inverter. Annual Conference of the IEEE Industrial Electronics Society, 6974-6979.

[11]   Zhang, X., Yu, C.Z., Liu, F., et al. (2014) Parallel Modeling and Resonant Analysis of PV Multi-Inverters. Proceeding of the CSEE, 3, 336-345.

 
 
Top