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

发布时间：2018-01-30 12:04

本文关键词： 限功率风电场粒子群优化算法有功功率分配策略　出处：《可再生能源》2017年12期 　论文类型：期刊论文

【摘要】：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。
[Abstract]:In order to solve the problem of active power distribution of wind farm units under limited power conditions, the generation cost model and comprehensive fatigue model are established and improved particle swarm optimization (PSO) algorithm is adopted. On the basis of wind power prediction information of wind farm, the goal of wind turbine fatigue equilibrium and the lowest unit power generation cost are taken as the target, and the power balance, the output limit and the opening and downtime limit are taken as the constraint conditions. The optimization strategy of active power control in wind farm under the condition of limited power is studied. Finally, the total active power output, generation cost and fatigue uniformity of wind farm under three distribution schemes are compared. The characteristics of active power output of typical wind farm units under limited power control are analyzed, and the results show that. Considering the power generation cost and fatigue equilibrium condition, the optimization strategy can ensure the fatigue equilibrium among the units on the basis of reducing the cost effectively, thus reducing the maintenance frequency of the unit.
【作者单位】：内蒙古工业大学风能太阳能利用技术省部共建教育部重点实验室;河南电力勘测设计院;河海大学能源与电气学院;
【基金】：风能太阳能利用技术省部共建教育部重点实验室(内蒙古工业大学)开放基金资助项目(201502)
【分类号】：TM614
【正文快照】： 0前言风电场出力具有随机性大、波动性高、可预测性差的特点,再加上风资源与电力负荷分布不均匀、部分地区电网输送能量有限、风电场规划建设失调等原因,“弃风限电”现象严重,风电场限功率运行成为一种常态。近年,限功率运行条件下采取主动调控增强风电出力的平稳性和可控性,

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