Analysis on the Capacity Credit of a Wind Farm and its Influencing Factors

doi:10.11930/j.issn.1004-9649.2013.12.95.4

Abstract

Abstract: The capacity credit of a wind farm is a basic index to evaluate the value of its power generation capacity, and it is also an important reference for location planning of wind farms. An autoregressive moving average time series model is used to simulate the hourly wind speeds. Based on the data of forced outage rate of a wind turbine generator, the reliability model of the wind farm is built. The parabola method is used to calculate the effective load-carrying capacity of the wind farm. The sequential Monte Carlo simulation approach is used to study the capacity credit, which not only facilitates the time series modeling of wind speeds, but also provides accurate frequency assessments of the system. Finally, the proposed method is tested with the IEEE-RTS 79 testing system, and the difference of capacity credits with different reliability indices and their affecting factors are also analyzed.

Key words: wind farm, reliability index, capacity credit, autoregressive-moving average (ARMA) model

CLC Number:

TM614

GAO Zhong-xu, MAO An-jia, CHEN De-zhi, SONG Yun-ting. Analysis on the Capacity Credit of a Wind Farm and its Influencing Factors[J]. Electric Power, 2013, 46(12): 95-99.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2013.12.95.4

https://www.electricpower.com.cn/EN/Y2013/V46/I12/95

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