Optimized Site Selection for New Wind Farm Installations Based on Portfolio Theory and Geographical Information

Kohei Nishiyama, Kazuaki Iwamura, Yosuke Nakanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An automated process for selecting sites for new wind farm installations is proposed. The region of interest is divided into a 1-km-square mesh, and geographical data such as altitude and wind speed are used to sort the mesh cells into regions that are feasible for wind farm installations. Before grouping the meshes, feasible meshes for constructing wind farms are extracted using a set of constraints. We tested two different constraints for grouping the feasible areas, either by maximizing the annual mean wind speed or by minimizing the covariance between the power outputs of each cell in the group. The first strategy is more attractive if the goal is to meet an expected level of power output each year, while the second strategy is intended to supply the most-stable power. Portfolio theory was then applied to the evaluate efficient-frontier curves of the two site-selection results from the mean and variance of the total expected power outputs. The analysis showed that grouping unit areas to maximize average wind speed most effectively suppresses variance in the expected output of an installation, and efficiently distributes the optimum wind farm locations.

Original languageEnglish
Title of host publication2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538682326
DOIs
Publication statusPublished - 2019 Feb
Externally publishedYes
Event2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 - Washington, United States
Duration: 2019 Feb 182019 Feb 21

Publication series

Name2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019

Conference

Conference2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019
CountryUnited States
CityWashington
Period19/2/1819/2/21

Fingerprint

Portfolio Theory
Site selection
Farms
Wind Speed
Mesh
Grouping
Output
Efficient Frontier
Cell
Region of Interest
Sort
Annual
Maximise
Curve
Unit
Farm
Portfolio theory
Evaluate
Strategy

Keywords

  • Efficient-Frontier
  • Geographical Information
  • Mean and Variance
  • Portfolio Theory
  • Wind Farm

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Strategy and Management

Cite this

Nishiyama, K., Iwamura, K., & Nakanishi, Y. (2019). Optimized Site Selection for New Wind Farm Installations Based on Portfolio Theory and Geographical Information. In 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 [8791636] (2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT.2019.8791636

Optimized Site Selection for New Wind Farm Installations Based on Portfolio Theory and Geographical Information. / Nishiyama, Kohei; Iwamura, Kazuaki; Nakanishi, Yosuke.

2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8791636 (2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nishiyama, K, Iwamura, K & Nakanishi, Y 2019, Optimized Site Selection for New Wind Farm Installations Based on Portfolio Theory and Geographical Information. in 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019., 8791636, 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019, Washington, United States, 19/2/18. https://doi.org/10.1109/ISGT.2019.8791636
Nishiyama K, Iwamura K, Nakanishi Y. Optimized Site Selection for New Wind Farm Installations Based on Portfolio Theory and Geographical Information. In 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8791636. (2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019). https://doi.org/10.1109/ISGT.2019.8791636
Nishiyama, Kohei ; Iwamura, Kazuaki ; Nakanishi, Yosuke. / Optimized Site Selection for New Wind Farm Installations Based on Portfolio Theory and Geographical Information. 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019).
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