基于发电成本和疲劳均匀性的风电场有功功率控制策略研究

摘要

For the active power allocation problem of wind farm under limited power conditions,the generation cost and the comprehensive fatigue model are established in this paper. In order tominimize the cost of power generation and the difference of the fatigue of the wind turbine,this paper takes the power balance,output restrictions and shut-down time limit as constraint conditions to build a control strategy of power in wind farm. The strategy based on wind power forecast information of each wind turbine and the improved particle swarm algorithmare used. Finally,the active power output characteristics of wind turbineare analyzed. And the active power,the cost of power generation and the uniformity of fatigue between three kinds of distribution schemesare compared with each other.The results show that the optimization strategybased on both the generation cost and the fatigue equilibrium condition can effectively reduce the cost and guarantee the fatigue balance among the units,so as to reduce the maintenance frequency of the unit.%针对限功率工况下风电场机组有功分配问题,文章建立了机组发电成本模型和综合疲劳模型.采用改进的粒子群优化算法,在风电场各机组风功率预测信息的基础上,以风电机组疲劳均衡、单位发电成本最低为目标,以功率平衡、出力限制、开停机时间限制等为约束条件,研究限电情况下风电场内有功控制优化策略.最后,对比3种分配方案下风电场的有功总出力、发电成本和疲劳均匀性,分析限功率控制下风电场典型机组的有功出力特征,结果表明,同时考虑发电成本和疲劳均衡条件的优化策略在有效降低成本的基础上能够保证机组间的疲劳均衡,从而降低机组维修频率.