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Capacity value estimation of wind power incorporating hourly wind speed

Ashwini Kumar Nayak (Electrical Engineering Department, National Institute of Technology Rourkela, Rourkela, India)
Kanungo Barada Mohanty (Electrical Engineering Department, National Institute of Technology Rourkela, Rourkela, India)
Vinaya Sagar Kommukuri (Electrical Engineering Department, National Institute of Technology Rourkela, Rourkela, India)
Kishor Thakre (Electrical Engineering Department, National Institute of Technology Rourkela, Rourkela, India)

World Journal of Engineering

ISSN: 1708-5284

Article publication date: 4 December 2017

131

Abstract

Purpose

The purpose of this paper is to show the effect of randomness of wind speed on the capacity value estimation of wind power. Three methods that incorporate hourly wind speed have been evaluated.

Design/methodology/approach

Wind speed is simulated using autoregressive moving average method and is included in the calculation of reliability index as a negative load on an hourly basis. The reliability index is calculated before and after the addition of wind capacity. Increment of load or alteration of conventional capacity will lead to capacity estimation.

Findings

Among the aforementioned three methods, the former two exclude the availability rate and give the exact value for wind capacity addition. The third method is based on the availability rate and provides a little higher capacity value, indicating a clear correlation between availability and capacity value.

Originality/value

The methods that exclude the availability rate show consistent results. By including the availability rate, the third method predicts the inverse relation between the availability rate and the capacity value.

Keywords

Citation

Nayak, A.K., Mohanty, K.B., Kommukuri, V.S. and Thakre, K. (2017), "Capacity value estimation of wind power incorporating hourly wind speed", World Journal of Engineering, Vol. 14 No. 6, pp. 497-502. https://doi.org/10.1108/WJE-12-2016-0160

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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