A novel hybrid optimization methodology to optimize the total number and placement of wind turbines-Reference-Cited by-同舟云学术

A novel hybrid optimization methodology to optimize the total number and placement of wind turbines

Published:2016-02 Issue: Volume:86 Page:133-147
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Mittal Prateek,Kulkarni Kedar,Mitra Kishalay

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference30 articles.

1. Modified genetic algorithm for layout optimization of multi-type wind turbines;Duan,2014

2. Iterative non –deterministic algorithms in on – shore wind farm design: a brief survey;Khan;Renew. Sustain Energy Rev.,2013

3. Unrestricted wind farm layout optimization (UWFLO): investigating key factors influencing the maximum power generation;Chowdhary;Renew. Energy,2012

4. Global Wind Report 2013 – Annual Market Update. Available from: http://www.gwec.net/publications/global-wind-report-2/global-wind-report-2013/.[Accessed October 2014].

5. WAsP – the Wind Atlas Analysis and Application Program. Available from: www.wasp.dk/. [Accessed August 2014].

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GIS-based MCDM dual optimization approach for territorial-scale offshore wind power plants;Journal of Cleaner Production;2023-11

2. Optimization of the Number, Hub Height and Layout of Offshore Wind Turbines;Journal of Marine Science and Engineering;2023-08-09

3. Designing globalized robust supply chain network for sustainable biomass-based power generation problem;Journal of Cleaner Production;2023-08

4. A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization;Applied Soft Computing;2023-07

5. The optimization of wind turbine placement using a binary artificial bee colony algorithm with multi-dimensional updates;Electric Power Systems Research;2023-03