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Reliability Assessment of Wind Power System Considering Multi-Objective Models

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Abstract:

The integration of wind farms has a significant impact on the power system reliability. An appropriate model used to assess wind power system reliability is needed. Establishing multi-objective models (wind speed model, wind turbine generator output model and wind farm equivalent model) and based on the non-sequential Monte Carlo simulation method to calculate risk indicators is a viable method for quantitatively assessing the reliability of power system including wind farms. The IEEE-RTS 79 test system and a 300MW wind farm are taken as example.The calculation resluts show that using the multi-objective models can improve accuracy and reduce error; the higher average wind speed obtains the better system reliabitity accordingly.

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Info:

Periodical:

Advanced Materials Research (Volumes 608-609)

Pages:

742-747

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.608-609.742

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Online since:

December 2012

Authors:

Chun Hong Zhao, Lian Guang Liu, Zi Fa Liu, Ying Chen

Keywords:

Multi-Objective Models, Non-Sequential Monte Carlo Simulation, Risk Indicators, Wind Farm

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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