Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach

S. Z. Djokic; B. P. Hayes; R. Langella; A. Testa

doi:10.1109/ICCEP.2015.7177630

Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach

S. Z. Djokic
, B. P. Hayes
, R. Langella
, A. Testa

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

Accurate representation of wind energy resources is essential for the correct assessment of outputs of wind-based electricity generation systems. This paper uses 'Nested Markov Chains' (NMC) approach, instead of the standard Markov Chain methodologks, for a more accurate representation of statistical and temporal characteristics of the modelled wind energy resources, as well as for the estimation of the power/energy outputs of a wind farm. The presented NMC approach uses equivalent power curve of the whole modelled wind farm for the selection of NMC states, which is an approach directly related to the actual conversion process of wind energy into the electricity at the considered wind farm site. The presented NMC model is validated using recorded wind speed data sets, as well as recorded power outputs from an actual wind farm.

Original language	English
Title of host publication	5th International Conference on Clean Electrical Power
Subtitle of host publication	Renewable Energy Resources Impact, ICCEP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	241-246
Number of pages	6
ISBN (Electronic)	9781479987047
DOIs	https://doi.org/10.1109/ICCEP.2015.7177630
Publication status	Published - 4 Aug 2015
Externally published	Yes
Event	5th International Conference on Clean Electrical Power, ICCEP 2015 - Taormina, Italy Duration: 16 Jun 2015 → 18 Jun 2015

Publication series

Name	5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015

Conference

Conference	5th International Conference on Clean Electrical Power, ICCEP 2015
Country/Territory	Italy
City	Taormina
Period	16/06/15 → 18/06/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Clean electrical power
Markov Chains and Markovian processeses
wind energy resources
wind-based energy generation

Access to Document

10.1109/ICCEP.2015.7177630

Cite this

Djokic, S. Z., Hayes, B. P., Langella, R., & Testa, A. (2015). Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach. In 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015 (pp. 241-246). Article 7177630 (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCEP.2015.7177630

Djokic, S. Z. ; Hayes, B. P. ; Langella, R. et al. / Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach. 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 241-246 (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015).

@inproceedings{65dc58c997544fd5b674dcc4187acea0,

title = "Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach",

abstract = "Accurate representation of wind energy resources is essential for the correct assessment of outputs of wind-based electricity generation systems. This paper uses 'Nested Markov Chains' (NMC) approach, instead of the standard Markov Chain methodologks, for a more accurate representation of statistical and temporal characteristics of the modelled wind energy resources, as well as for the estimation of the power/energy outputs of a wind farm. The presented NMC approach uses equivalent power curve of the whole modelled wind farm for the selection of NMC states, which is an approach directly related to the actual conversion process of wind energy into the electricity at the considered wind farm site. The presented NMC model is validated using recorded wind speed data sets, as well as recorded power outputs from an actual wind farm.",

keywords = "Clean electrical power, Markov Chains and Markovian processeses, wind energy resources, wind-based energy generation",

author = "Djokic, \{S. Z.\} and Hayes, \{B. P.\} and R. Langella and A. Testa",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Clean Electrical Power, ICCEP 2015 ; Conference date: 16-06-2015 Through 18-06-2015",

year = "2015",

month = aug,

day = "4",

doi = "10.1109/ICCEP.2015.7177630",

language = "English",

series = "5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "241--246",

booktitle = "5th International Conference on Clean Electrical Power",

address = "United States",

}

Djokic, SZ, Hayes, BP, Langella, R & Testa, A 2015, Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach. in 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015., 7177630, 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015, Institute of Electrical and Electronics Engineers Inc., pp. 241-246, 5th International Conference on Clean Electrical Power, ICCEP 2015, Taormina, Italy, 16/06/15. https://doi.org/10.1109/ICCEP.2015.7177630

Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach. / Djokic, S. Z.; Hayes, B. P.; Langella, R. et al.
5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 241-246 7177630 (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach

AU - Djokic, S. Z.

AU - Hayes, B. P.

AU - Langella, R.

AU - Testa, A.

PY - 2015/8/4

Y1 - 2015/8/4

N2 - Accurate representation of wind energy resources is essential for the correct assessment of outputs of wind-based electricity generation systems. This paper uses 'Nested Markov Chains' (NMC) approach, instead of the standard Markov Chain methodologks, for a more accurate representation of statistical and temporal characteristics of the modelled wind energy resources, as well as for the estimation of the power/energy outputs of a wind farm. The presented NMC approach uses equivalent power curve of the whole modelled wind farm for the selection of NMC states, which is an approach directly related to the actual conversion process of wind energy into the electricity at the considered wind farm site. The presented NMC model is validated using recorded wind speed data sets, as well as recorded power outputs from an actual wind farm.

AB - Accurate representation of wind energy resources is essential for the correct assessment of outputs of wind-based electricity generation systems. This paper uses 'Nested Markov Chains' (NMC) approach, instead of the standard Markov Chain methodologks, for a more accurate representation of statistical and temporal characteristics of the modelled wind energy resources, as well as for the estimation of the power/energy outputs of a wind farm. The presented NMC approach uses equivalent power curve of the whole modelled wind farm for the selection of NMC states, which is an approach directly related to the actual conversion process of wind energy into the electricity at the considered wind farm site. The presented NMC model is validated using recorded wind speed data sets, as well as recorded power outputs from an actual wind farm.

KW - Clean electrical power

KW - Markov Chains and Markovian processeses

KW - wind energy resources

KW - wind-based energy generation

UR - https://www.scopus.com/pages/publications/84946593230

U2 - 10.1109/ICCEP.2015.7177630

DO - 10.1109/ICCEP.2015.7177630

M3 - Conference proceeding

AN - SCOPUS:84946593230

T3 - 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015

SP - 241

EP - 246

BT - 5th International Conference on Clean Electrical Power

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Clean Electrical Power, ICCEP 2015

Y2 - 16 June 2015 through 18 June 2015

ER -

Djokic SZ, Hayes BP, Langella R, Testa A. Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach. In 5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 241-246. 7177630. (5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015). doi: 10.1109/ICCEP.2015.7177630

Modelling of wind energy resources and wind farm power outputs using Nested Markov Chain approach

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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