Optimal placement of wind turbines within a wind farm considering multi-directional wind speed using two-stage genetic algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Energy Engineering and Power Technology
Link
http://link.springer.com/content/pdf/10.1007/s11708-018-0514-x.pdf
Reference23 articles.
1. Ayodele T R, Ogunjuyigbe A S O. Increasing household solar energy penetration through load partitioning based on quality of life: the case study of Nigeria. Sustainable Cities and Society, 2015, 18: 21–31
2. Ayodele T R, Jimoh A A, Munda J L, Agee J T. Viability and economic analysis of wind energy resource for power generation in Johannesburg, South Africa. International Journal of Sustainable Energy, 2014, 33(2): 284–303
3. Ayodele T R, Ogunjuyigbe A S O. Wind energy potential of vesleskarvet and the feasibility of meeting the South African’s SANAE IV energy demand. Renewable & Sustainable Energy Reviews, 2016, 56: 226–234
4. Bansal R C, Bhatti T S, Kothari D P. On some of the design aspects of wind energy conversion systems. Energy Conversion and Management, 2002, 43(16): 2175–2187
5. Patel M. Wind and Power Solar Systems. Boca Raton: CRC Press, 1999
Cited by 11 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. Data-driven Prediction Model Selection Considering Time Series Characteristics of Wind Speed;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24
2. Development of Wind Wake-effect Minimizing Model Based on Combination of Dung Beetle Optimization, Extreme Learning Machine, and Genetic Algorithms;Sensors and Materials;2024-03-25
3. A Theoretical Methodology and Measurement of Dynamic Characteristics of Wind Turbines with Composite Bucket Foundations;Journal of Marine Science and Engineering;2024-01-05
4. A teaching-learning-based optimization algorithm with reinforcement learning to address wind farm layout optimization problem;Applied Soft Computing;2024-01
5. A low-complexity evolutionary algorithm for wind farm layout optimization;Energy Reports;2023-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3