OPTIMIZATION OF WIND POWER PLANTS USING RECURSIVE QUADRATIC PROGRAMMING.

Mahmood H. Nagrial; L. C.W. Dixon

OPTIMIZATION OF WIND POWER PLANTS USING RECURSIVE QUADRATIC PROGRAMMING.

Mahmood H. Nagrial
, L. C.W. Dixon

University of Benghazi

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

The design of large wind power plants, in the MW range, is formulated as a constrained nonlinear programming problem so as to minimize generation cost. Different variables and constraints are discussed. A powerful constrained method of optimization, termed recursive quadratic programming (RQP), is used to predict design parameters. Numerical results are presented for a number of operating load factors for a 2. 5-MW horizontal-axis wind turbine power plant. Though the results presented pertain to a wind power plant without storage, the design approach is general enough to be applicable to wind power plants with storage.

Original language	English
Title of host publication	Unknown Host Publication Title
Editors	Antonio Luque, A.R. Figueiras Vidal, J.M.R. Delgado
Publisher	IEEE
Pages	201-204
Number of pages	4
ISBN (Print)	0444878475
Publication status	Published - 1985
Externally published	Yes

UN SDGs

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

SDG 7 Affordable and Clean Energy

Cite this

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title = "OPTIMIZATION OF WIND POWER PLANTS USING RECURSIVE QUADRATIC PROGRAMMING.",

abstract = "The design of large wind power plants, in the MW range, is formulated as a constrained nonlinear programming problem so as to minimize generation cost. Different variables and constraints are discussed. A powerful constrained method of optimization, termed recursive quadratic programming (RQP), is used to predict design parameters. Numerical results are presented for a number of operating load factors for a 2. 5-MW horizontal-axis wind turbine power plant. Though the results presented pertain to a wind power plant without storage, the design approach is general enough to be applicable to wind power plants with storage.",

author = "Nagrial, \{Mahmood H.\} and Dixon, \{L. C.W.\}",

year = "1985",

language = "English",

isbn = "0444878475",

publisher = "IEEE",

pages = "201--204",

editor = "Antonio Luque and \{Figueiras Vidal\}, A.R. and J.M.R. Delgado",

booktitle = "Unknown Host Publication Title",

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T1 - OPTIMIZATION OF WIND POWER PLANTS USING RECURSIVE QUADRATIC PROGRAMMING.

AU - Nagrial, Mahmood H.

AU - Dixon, L. C.W.

PY - 1985

Y1 - 1985

N2 - The design of large wind power plants, in the MW range, is formulated as a constrained nonlinear programming problem so as to minimize generation cost. Different variables and constraints are discussed. A powerful constrained method of optimization, termed recursive quadratic programming (RQP), is used to predict design parameters. Numerical results are presented for a number of operating load factors for a 2. 5-MW horizontal-axis wind turbine power plant. Though the results presented pertain to a wind power plant without storage, the design approach is general enough to be applicable to wind power plants with storage.

AB - The design of large wind power plants, in the MW range, is formulated as a constrained nonlinear programming problem so as to minimize generation cost. Different variables and constraints are discussed. A powerful constrained method of optimization, termed recursive quadratic programming (RQP), is used to predict design parameters. Numerical results are presented for a number of operating load factors for a 2. 5-MW horizontal-axis wind turbine power plant. Though the results presented pertain to a wind power plant without storage, the design approach is general enough to be applicable to wind power plants with storage.

UR - https://www.scopus.com/pages/publications/0022232738

M3 - Conference Paper

AN - SCOPUS:0022232738

SN - 0444878475

SP - 201

EP - 204

BT - Unknown Host Publication Title

A2 - Luque, Antonio

A2 - Figueiras Vidal, A.R.

A2 - Delgado, J.M.R.

PB - IEEE

ER -

OPTIMIZATION OF WIND POWER PLANTS USING RECURSIVE QUADRATIC PROGRAMMING.

Abstract

UN SDGs

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