LMP estimation considering the uncertainty of wind power

Dai, Yuanyu, Huang, Jie, Meng, Ke, Xue, Yusheng, Dong, Zhao Yang, & Ledwich, Gerard (2011) LMP estimation considering the uncertainty of wind power. In Ledwich, Gerard (Ed.) Proceedings of AUPEC 2011 : Integrating Renewables into the Grid, AUPEC/IEEE, Queensland University of Technology , Brisbane, QLD.

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One of the impediments to large-scale use of wind generation within power system is its variable and uncertain real-time availability. Due to the low marginal cost of wind power, its output will change the merit order of power markets and influence the Locational Marginal Price (LMP). For the large scale of wind power, LMP calculation can't ignore the essential variable and uncertain nature of wind power. This paper proposes an algorithm to estimate LMP. The estimation result of conventional Monte Carlo simulation is taken as benchmark to examine accuracy. Case study is conducted on a simplified SE Australian power system, and the simulation results show the feasibility of proposed method.

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ID Code: 46740
Item Type: Conference Paper
Refereed: Yes
Keywords: Locational Marginal Price, Uncertainty, Wind Power, Probabilistic Optimal Power Flow, Markets
ISBN: 9781921897078
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Renewable Power and Energy Systems Engineering (excl. Solar Cells) (090608)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: 2011 Copyright AUPEC/IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 31 Oct 2011 21:55
Last Modified: 19 Jan 2012 13:00

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