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Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation

Author

Listed:
  • Hongwei Ren
  • Congying Han
  • Tiande Guo
  • Wei Pei

Abstract

With the distributed generation technology widely applied, some system problems such as overvoltages and undervoltages are gradually remarkable, which are caused by distributed generations like wind energy system (WES) and photovoltaic system (PVS) because of their probabilistic output power which relied on natural conditions. Since the impacts of WES and PVS are important in the distribution system voltage quality, we study these in this paper using new models with the probability density function of node voltage and the cumulative distribution function of total losses. We apply these models to solve the IEEE33 distribution system to be chosen in IEEE standard database. We compare our method with the Monte Carlo simulation method in three different cases, respectively. In the three cases, these results not only can provide the important reference information for the next stage optimization design, system reliability, and safety analysis but also can reduce amount of calculation.

Suggested Citation

  • Hongwei Ren & Congying Han & Tiande Guo & Wei Pei, 2014. "Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:939482
    DOI: 10.1155/2014/939482
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    References listed on IDEAS

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    2. Jafarian, M. & Ranjbar, A.M., 2010. "Fuzzy modeling techniques and artificial neural networks to estimate annual energy output of a wind turbine," Renewable Energy, Elsevier, vol. 35(9), pages 2008-2014.
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