Welcome to the InfoSci Platform
Decomposition-Based Multi-Objective Optimization of Energy Noise Trade-Off in a Wind Farm: A Hybrid Approach

Decomposition-Based Multi-Objective Optimization of Energy Noise Trade-Off in a Wind Farm: A Hybrid Approach

Prateek Mittal, Kishalay Mitra
Copyright: © 2018 |Pages: 29
ISBN13: 9781522529903|ISBN10: 152252990X|EISBN13: 9781522529910
DOI: 10.4018/978-1-5225-2990-3.ch008
Cite Chapter Cite Chapter

MLA

Mittal, Prateek, and Kishalay Mitra. "Decomposition-Based Multi-Objective Optimization of Energy Noise Trade-Off in a Wind Farm: A Hybrid Approach." Handbook of Research on Emergent Applications of Optimization Algorithms, edited by Pandian Vasant, et al., IGI Global, 2018, pp. 177-205. https://doi.org/10.4018/978-1-5225-2990-3.ch008

APA

Mittal, P. & Mitra, K. (2018). Decomposition-Based Multi-Objective Optimization of Energy Noise Trade-Off in a Wind Farm: A Hybrid Approach. In P. Vasant, S. Alparslan-Gok, & G. Weber (Eds.), Handbook of Research on Emergent Applications of Optimization Algorithms (pp. 177-205). IGI Global. https://doi.org/10.4018/978-1-5225-2990-3.ch008

Chicago

Mittal, Prateek, and Kishalay Mitra. "Decomposition-Based Multi-Objective Optimization of Energy Noise Trade-Off in a Wind Farm: A Hybrid Approach." In Handbook of Research on Emergent Applications of Optimization Algorithms, edited by Pandian Vasant, Sirma Zeynep Alparslan-Gok, and Gerhard-Wilhelm Weber, 177-205. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2990-3.ch008

Export Reference

Mendeley
Favorite

Abstract

A multi-objective optimization case study of maximization and minimization of energy generation and noise propagation is considered here. A novel hybrid methodology, as a combination of probabilistic variable decomposed multi-objective evolutionary algorithm (VdRBNSGA-II) and the newly developed deterministic gradient based Pareto frontier construction approach (nD-NNC), has been proposed to determine the optimum layout of turbines (numbers and locations) inside a wind farm. In contrast to previous case studies, the proposed approach is able to yield the alternative energy-noise solutions along with the additional information on corresponding turbine layouts (numbers and locations) on a single Pareto front. As a result, it provides a decision maker with an ample of choices to choose from different competing solutions based on the existing standards and guidelines.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.