Optimal Control of Wind Turbines for Minimizing Overall Wake Effect Losses in Offshore Wind Farms

被引:0
|
作者
Serrano Gonzalez, Javier [1 ]
Burgos Payan, Manuel [1 ]
Riquelme Santos, Jesus [1 ]
机构
[1] Univ Seville, Dept Elect Engn, Seville 41092, Spain
来源
2013 IEEE EUROCON | 2013年
关键词
Genetic Algorithm; Offshore Wind Farm; Wake effect; Wind energy; Wind farm; Wind turbine control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a new methodology for optimizing the wake effect performance and, therefore, the energy captured by the wind turbines in an offshore wind farm. The optimization is done by controlling the pitch angle and the tip speed ratio of each one of the wind turbines in order to minimize the overall wake effect between wind turbines and, as a consequence, maximize the power produced by the facility. The optimization is performed by using a genetic algorithm with the aim of maximizing the power production. The production model considers aspects as the wind turbine power coefficient dependence on the pitch angle and the tip speed ratio as well as the influence of these variables on the wake effect performance.
引用
收藏
页码:1129 / 1133
页数:5
相关论文
共 50 条
  • [1] Optimum Wind Turbines Operation for Minimizing Wake Effect Losses in Offshore Wind Farms
    Serrano Gonzalez, Javier
    Burgos Payan, Manuel
    Riquelme Santos, Jesus
    2013 13TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2013, : 188 - 192
  • [2] Optimization of Wind Turbines Placement in Offshore Wind Farms: Wake Effects Concerns
    Baptista, Jose
    Lima, Filipe
    Cerveira, Adelaide
    OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2021, 2021, 1488 : 102 - 109
  • [3] Maximizing the overall production of wind farms by setting the individual operating point of wind turbines
    Serrano Gonzalez, Javier
    Burgos Payan, Manuel
    Riquelme Santos, Jesus
    Gonzalez Rodriguez, Angel Gaspar
    RENEWABLE ENERGY, 2015, 80 : 219 - 229
  • [4] Minimizing transportation and installation costs for turbines in offshore wind farms
    Sarker, Bhaba R.
    Ibn Faiz, Tasnim
    RENEWABLE ENERGY, 2017, 101 : 667 - 679
  • [5] Optimal Pitch Angle Strategy for Energy Maximization in Offshore Wind Farms Considering Gaussian Wake Model
    Serrano Gonzalez, Javier
    Lopez, Bruno
    Draper, Martin
    ENERGIES, 2021, 14 (04)
  • [6] Minimizing the Energy Cost of Offshore Wind Farms by Simultaneously Optimizing Wind Turbines and Their Layout
    Luo, Longfu
    Zhang, Xiaofeng
    Song, Dongran
    Tang, Weiyi
    Li, Li
    Tian, Xiaoyu
    APPLIED SCIENCES-BASEL, 2019, 9 (05):
  • [7] Optimal maintenance management of offshore wind turbines by minimizing the costs
    Peinado Gonzalo, Alfredo
    Benmessaoud, Tahar
    Entezami, Mani
    Garcia Marquez, Fausto Pedro
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 52
  • [8] Optimal selection of time windows for preventive maintenance of offshore wind farms subject to wake losses
    Zhang, Junqiang
    Chowdhury, Souma
    Zhang, Jie
    Tong, Weiyang
    Messac, Achille
    WIND ENERGY, 2023, 26 (11) : 1103 - 1122
  • [9] Design optimization of offshore wind farms with multiple types of wind turbines
    Feng, Ju
    Shen, Wen Zhong
    APPLIED ENERGY, 2017, 205 : 1283 - 1297
  • [10] Optimization of maintenance scheduling for offshore wind turbines considering the wake effect of arbitrary wind direction
    Ge, Xiaolin
    Chen, Quan
    Fu, Yang
    Chung, C. Y.
    Mi, Yang
    ELECTRIC POWER SYSTEMS RESEARCH, 2020, 184