Decomposition-Based Multi-Objective Optimization of Energy Noise Trade-Off in a Wind Farm

Mittal, Prateek and Mitra, Kishalay (2018) Decomposition-Based Multi-Objective Optimization of Energy Noise Trade-Off in a Wind Farm. IGI Global, pp. 177-205. ISBN 9781522529903

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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.

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IITH Creators:	IITH Creators ORCiD Mitra, Kishalay http://orcid.org/0000-0001-5660-6878
Item Type:	Book
Subjects:	Chemical Engineering
Divisions:	Department of Chemical Engineering
Depositing User:	Team Library
Date Deposited:	19 Nov 2018 06:34
Last Modified:	19 Nov 2018 06:34
URI:	http://raiithold.iith.ac.in/id/eprint/4557
Publisher URL:	http://doi.org/10.4018/978-1-5225-2990-3.ch008
Related URLs:	Google Scholar

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