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http://dx.doi.org/10.5370/JEET.2013.8.3.453

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)
Publication Information
Journal of Electrical Engineering and Technology / v.8, no.3, 2013 , pp. 453-463 More about this Journal
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
Wind power integration; Correlated wind speed; Weibull distribution; Monte carlo simulation (MCS); Probabilistic security-constrained optimal power flow (P-SCOPF);
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