NDLI: Optimal placement of off-shore wind turbines and subsequent micro-siting using Intelligently Tuned Harmony Search algorithm

Content Provider	IEEE Xplore Digital Library
Author	Prabhu, N.P. Yadav, P. Prasad, B. Panda, S.K.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore (Panda, S.K.) \|\| Nat. Univ. of Singapore, Singapore, Singapore (Prabhu, N.P.; Prasad, B.) \|\| Alstom, Singapore, Singapore (Yadav, P.)
Abstract	The placement of wind turbines in a wind farm is configured to minimize wake interactions between individual turbines to ensure maximum power generation. Unrestricted Wind Farm Layout Optimization (UWFLO) in conjunction with Intelligently Tuned Harmony Search (ITHS) was employed to optimize the placement of wind turbines, given constraints of farm boundary, number of turbines and wind conditions. UWFLO takes into account the overlap between the wake generated by an upstream turbine and the blades of a downstream turbine to predict the total power generated by a wind farm (with greater accuracy). The study was run for three cases: 1) Constant wind speed and constant wind direction; 2) Constant wind speed and variable wind direction and 3) Variable wind speed and variable wind direction. Comparisons were made with other optimization algorithms, viz Genetic Algorithm (GA), Harmony Search (HS) and Improved Harmony Search (IHS). ITHS was unable to perform better than GA in Case 1, but delivered better results by 4% in Case 2 and 6% in Case 3.
Sponsorship	IEEE Power Energy Soc.
Starting Page	1
Ending Page	7
File Size	542945
Page Count	7
File Format	PDF
ISBN	9781479913039
ISSN	19449925
DOI	10.1109/PESMG.2013.6673059
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind turbines Wind farms Wind speed Optimization Vectors Linear programming Layout Unrestricted Wind Farm Layout Optimization Wind Farm Intelligently Tuned Harmony Search
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A novel multi-objective algorithm for the optimal placement of wind turbines with cost and yield production criteria

Offshore wind farm siting using a genetic algorithm

A Mixed Integer Linear Programming Formulation for Unrestricted Wind Farm Layout Optimization

A clustering approach for the wind turbine micro siting problem through genetic algorithm

Wind farm layout design using modified particle swarm optimization algorithm

Optimal power and cost on placement of Wind turbines using Firefly Algorithm

Micro-Siting of Wind Turbines in an Optimal Wind Farm Area Using Teaching–Learning-Based Optimization Technique

Optimal layout of a wind farm considering multiple wind directions

Optimal design of an offshore wind farm layout

Optimal placement of off-shore wind turbines and subsequent micro-siting using Intelligently Tuned Harmony Search algorithm

Similar Documents

A novel multi-objective algorithm for the optimal placement of wind turbines with cost and yield production criteria

Offshore wind farm siting using a genetic algorithm

A Mixed Integer Linear Programming Formulation for Unrestricted Wind Farm Layout Optimization

A clustering approach for the wind turbine micro siting problem through genetic algorithm

Wind farm layout design using modified particle swarm optimization algorithm

Optimal power and cost on placement of Wind turbines using Firefly Algorithm

Micro-Siting of Wind Turbines in an Optimal Wind Farm Area Using Teaching–Learning-Based Optimization Technique

Optimal layout of a wind farm considering multiple wind directions

Optimal design of an offshore wind farm layout

Optimal placement of off-shore wind turbines and subsequent micro-siting using Intelligently Tuned Harmony Search algorithm