Three-phase probabilistic power flow calculation in distribution systems with multiple unsymmetrical grid-connected photovoltaic systems

被引：0
|
作者：
Photovoltaic System Research Center of Ministry of Education, Hefei University of Technology, Hefei 230009, China [1 ]
不详 [2 ]
机构：
[1] Photovoltaic System Research Center of Ministry of Education, Hefei University of Technology
[2] Anhui Electric Power Research Institute
来源：
Dianli Xitong Zidonghue | 2012年 / 16卷 / 47-52期
关键词：
Distribution system; Grid-connected photovoltaic; Sequential Monte Carlo; Solar irradiance; Three-phase probabilistic power flow;
D O I：
10.3969/j.issn.1000-1026.2012.16.009
中图分类号：
学科分类号：
摘要：
A method of three-phase probabilistic power flow for distribution systems with single-phase and three-phase grid-connected photovoltaic (PV) systems is introduced using sequential Monte Carlo techniques. The hourly output power of PV system is simulated considering solar irradiance, random change of weather, efficiency and effective sunlight area of PV arrays, efficiency of maximum power point tracking (MPPT) and inverter, and the reliability of overall PV system. The time-varying load model with randomness is incorporated in the probabilistic power flow and a program is developed. Case studies verify the feasibility and applicability of the method. ©2012 State Grid Electric Power Research Institute Press.
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页码：47 / 52
页数：5
相关论文
共 17 条
  • [1] Thomson M., Infield D.G., Impact of widespread photovoltaic generation on distribution systems, IET Renewable Power Generation, 1, 1, pp. 33-40, (2007)
  • [2] Wang C., Li P., Development and challenges of distributed generation, the micro-grid and smart distribution system, Automation of Electric Power Systems, 34, 2, pp. 10-14, (2010)
  • [3] Eltawil M.A., Zhao Z., Grid-connected photovoltaic power systems: Technical and potential problems-a review, Renewable and Sustainable Energy Reviews, 14, 1, pp. 112-129, (2010)
  • [4] Wang C., Zheng H., Xie Y., Et al., Probabilistic power flow containing distributed generation in distribution system, Automation of Electric Power Systems, 29, 24, pp. 39-44, (2005)
  • [5] Zhang Z., Li G., Wang S., Et al., Stochastic evaluation of voltage in distribution networks considering the characteristic of distributed generators, Proceedings of the 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, pp. 1132-1137, (2011)
  • [6] Saad Y.E., Ponnambalam K., El-Shatshat R.A., Stochastic analysis of a local distribution company voltage profile under uncertain energy supply from a photovoltaic system, Proceedings of the 7th International Conference on European Energy Market, (2010)
  • [7] Fan R., Wu S., The analysis of distribution system with photovoltaic system generation based on probabilistic power flow, Proceedings of Asia-Pacific Power and Energy Engineering Conference, (2011)
  • [8] Conti S., Raiti S., Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators, Solar Energy, 81, 12, pp. 1473-1481, (2007)
  • [9] Ruiz-Rodriguez F.J., Hernandez J.C., Jurado F., Et al., Probabilistic load flow for radial distribution networks with photovoltaic generators, IET Renewable Power Generation, 6, 2, pp. 110-121, (2012)
  • [10] Yu K., Cao Y., Chen X., Et al., Dynamic probability power flow of district grid containing distributed generation, Proceedings of the CSEE, 31, 1, pp. 20-25, (2011)
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