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Impacts of Wind Power Integration on Generation Dispatch in Power Systems

  • Lyu, Jae-Kun (School of Electrical Engineering, Seoul National University) ;
  • Heo, Jae-Haeng (School of Electrical Engineering, Seoul National University) ;
  • Kim, Mun-Kyeom (Department of Electrical Engineering, Dong-A University) ;
  • Park, Jong-Keun (School of Electrical Engineering, Seoul National University)
  • Received : 2012.08.21
  • Accepted : 2012.12.04
  • Published : 2013.05.01

Abstract

The probabilistic nature of renewable energy, especially wind energy, increases the needs for new forms of planning and operating with electrical power. This paper presents a novel approach for determining the short-term generation schedule for optimal operations of wind energy-integrated power systems. The proposed probabilistic security-constrained optimal power flow (P-SCOPF) considers dispatch, network, and security constraints in pre- and post-contingency states. The method considers two sources of uncertainty: power demand and wind speed. The power demand is assumed to follow a normal distribution, while the correlated wind speed is modeled by the Weibull distribution. A Monte Carlo simulation is used to choose input variables of power demand and wind speed from their probability distribution functions. Then, P-SCOPF can be applied to the input variables. This approach was tested on a modified IEEE 30-bus system with two wind farms. The results show that the proposed approach provides information on power system economics, security, and environmental parameters to enable better decision-making by system operators.

Keywords

References

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