以风电机组叶片延寿为目标的风电场优化调度
OPTIMAL POWER DISPATCH IN WIND FARM WITH LIFE EXTENSION OF WIND TURBINE BLADES AS TARGET
张晋华 1刘永前 2田德 2顾波 1汪宁渤3
作者信息
- 1. 新能源电力系统国家重点实验室(华北电力大学),北京102206;华北水利水电大学电力学院,郑州450011
- 2. 新能源电力系统国家重点实验室(华北电力大学),北京102206
- 3. 甘肃省电力公司风电技术中心,兰州730050
- 折叠
摘要
通过对叶片在不同工况下的受力分析,建立不同运行工况与风电机组叶片损伤量的关系,确定风电机组叶片损伤量与风电机组叶片寿命的关系;应用遗传-粒子群混合方法,以风电场内机组叶片延寿为优化目标,建立风电场内机组优化调度模型.将所提出的模型应用于某49.5MW风电场,对33台机组进行组合优化,算例结果表明在满足负荷的要求下,可减少启停机次数,延长机组寿命,验证该算法的可行性和有效性.
Abstract
The paper analyzes the force on the wind turbine blade in different conditions,and determines the relationship between the wind turbine blade damage value and different operation conditions,and the relationship between the wind turbine blade damage value and life of wind turbine blade.With life extension of wind turbine blades as the optimization objective,the optimal dispatch model is established by GA-PSO hybrid algorithm.To take a 49.5MW wind farm as example and meet the load requirements,it was reduced the number of start-stop times and extended the unit life.It is verified feasibility and reliability of the proposed optimal dispatching model.
关键词
风电机组/疲劳载荷/损伤理论/遗传-粒子群混合算法/优化调度Key words
wind turbine/fatigue loading/damage theory/GA-PSO hybrid algorithm/optimal dispatch引用本文复制引用
基金项目
国家高技术研究发展(863)计划(2011AA05A104)
出版年
2013
NETL
NSTL
维普
万方数据