A Novel and Efficient Hybrid Optimization Approach for Wind Farm Micro-siting

Mittal, P and Kulkarni, K and Mitra, Kishalay (2015) A Novel and Efficient Hybrid Optimization Approach for Wind Farm Micro-siting. IFAC papers online, 48 (8). pp. 397-402. ISSN 1474-6670

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Due to increasing penetration of wind energy in the recent times, wind farm owners tend to generate increasing amount of energy out o f wind fa rms. In order to meet targets, many wind farms are operated with a layout of numerous turbines placed close to each other in a limited area leading to greater energy losses due to ‘wake effects’ instead of generating more power. To solve the probl em in the most optimal way, these turbines need to satisfy many other constraints such as topological constraints, minimum allowable capacity factors, inter - turbine distances etc. Existing methods to solve this complex turbine placement problem typically a ssume knowledge about the total number of turbines to be placed in the farm, which might be unrealistic. This study proposes a novel hybrid optimization methodology, a combination of evolutionary and clas sical optimization approaches , to simultaneously det ermine the optimum number of turbines to be placed in a wind farm along with their optimal locations. Application of the proposed method on a representative case study yields 43% higher Annual Energy Production (AEP) than the results found by one of the ex isting methods.

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IITH Creators:
IITH CreatorsORCiD
Mitra, Kishalayhttp://orcid.org/0000-0001-5660-6878
Item Type: Article
Additional Information: Note: Also presented at 9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015 — Whistler, Canada, 7–10 June 7 – 10, 2015.
Uncontrolled Keywords: Wind energy systems engineering; micro siting optimization; genetic algorithms; gradient based optimization
Subjects: Others > Engineering technology
Chemical Engineering > Biochemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: Team Library
Date Deposited: 24 Aug 2015 05:19
Last Modified: 10 Nov 2017 05:02
URI: http://raiith.iith.ac.in/id/eprint/1872
Publisher URL: https://doi.org/10.1016/j.ifacol.2015.08.214
OA policy: http://www.sherpa.ac.uk/romeo/issn/1474-6670/
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