Impacts of Wind Power Integration on Generation Dispatch in Power Systems
- Authors
- Lyu, Jae-Kun; Heo, Jae-Haeng; Kim, Mun-Kyeom; Park, Jong-Keun
- Issue Date
- May-2013
- Publisher
- SPRINGER SINGAPORE PTE LTD
- Keywords
- Wind power integration; Correlated wind speed; Weibull distribution; Monte carlo simulation (MCS); Probabilistic security-constrained optimal power flow (P-SCOPF)
- Citation
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.8, no.3, pp 453 - 463
- Pages
- 11
- Journal Title
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
- Volume
- 8
- Number
- 3
- Start Page
- 453
- End Page
- 463
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61057
- DOI
- 10.5370/JEET.2013.8.3.453
- ISSN
- 1975-0102
2093-7423
- 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.
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