采用半自由工况点和分块优化策略的大惯量风力发电系统模型预测控制  

Model Predictive Control for Large-inertia Wind Turbine Generation System Based on Half-freedom Steady-state Operation Points and Blocking Optimization Strategy

作　　者：孟洪民[1] 刘吉臻[1] 张江昆[2] 林忠伟[1] 

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206 [2]华北电力大学电气与电子工程学院,北京102206

出　　处：《华北电力大学学报（自然科学版）》2017年第4期78-84,共7页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家重点基础研究发展计划(973计划)项目(2012CB215203)

摘　　要：风速随机性和间歇性对风机在风能捕获效率、出力波动性、机械载荷等目标的控制带来困难。针对额定风速以上区间,提出一种多目标模型预测控制策略:其基于半自由稳态工况点的多模型调度策略,在确保转速以额定值附近变动的同时,减少桨距角动作,进而获得更好控制效果;采用水平分块策略优化目标二次型函数寻优过程,减小计算量和计算时间。多场景对比仿真结果表明,该方法具有更好动态特性,发电机输出功率波动和机械载荷减小,寻优计算时间缩短,具有较高工程应用价值。Due to the randomness and intermittence of wind speed,it is difficult to enhance wind captured efficiency,smooth output power and alleviate mechanical loads. A multi-objective model predictive control strategy for full load region is proposed. Based on the scheduling strategy of half-freedom steady-state operation points,it helps to reduce the movements of actuator when rotation speed is sure to vary around rated value,thus achieving better control performance. Horizontal blocking strategy is introduced to optimize the solving process of objective quadric functions and reduce the calculating quantity and calculating time. The results of multi-scenario comparison of simulations show that,the proposed method has better control performance and can help alleviate the output power of generator and mechanical loads as well as reducing the calculating time of optimization which has significant engineering application value.

关 键 词：风力发电 模型预测控制 多自由度 多目标 功率波动性 机械载荷 

分 类 号：TM315[电气工程—电机]