离网型混合发电系统的分布式预测控制  

DISTRIBUTED PREDICTIVE CONTROL OF STAND-ALONE HYBRID GENERATION SYSTEMS

作　　者：王晓兰[1] 王正花[1] 张晓英[1] 包广清[1] 宫玮丽 Wang Xiaolan Wang Zhenghua Zhang Xiaoying Bao Guangqing Gong Weili(School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, Chin)

机构地区：[1]兰州理工大学电气工程与信息工程学院,兰州730050

出　　处：《太阳能学报》2017年第9期2403-2411,共9页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(50967001);甘肃省自然科学基金(1107RJZA272)

摘　　要：针对离网型风力发电和光伏发电构成的混合发电系统,研究其功率的优化分配问题,提出采用分布式预测控制的分层控制结构。应用迭代分布式MPC(model predictive control)优化算法,分别设计风力/光伏发电子系统的MPC优化问题,通过MPC之间的信息交换,得到保证全局性能优化的风力/光伏发电子系统的功率参考值,根据此功率参考值,本地控制器调节风力/光伏发电子系统的运行状态,达到混合发电系统的全局优化运行,可解决混合发电系统中集中式MPC优化模型复杂、难以满足实时控制要求的问题。仿真结果表明,采用迭代分布式MPC的离网型混合发电系统,能够很好地满足负荷的功率需求,并延长蓄电池的使用寿命。与集中式MPC相比,迭代分布式MPC能够在保证较小性能指标的前提下,减小优化问题的计算复杂度。Optimal power allocation of stand-alone hybrid wind and solar energy generation system is studied. A hierarchical control structure with iterative distributed predictive control is proposed. The optimization problem of the wind subsystem and solar subsystem is designed based on the distributed MPC optimization algorithm. The power reference value of the wind/solar generation system is obtained which guaranteed global performance optimization. According to the reference value, the local controller regulates the operation of the wind/solar generation system in order to achieve the overall optimization of hybrid generation systems. Comparing with centralized MPC optimization, the model complexity and defective real-time performance are improved in the algorithm. The simulation results showed that the power demand of the load can be well met, the life of battery is extended and the smaller performance cost is guaranteed.

关 键 词：迭代分布式MPC 分层控制 离网型混合发电系统 功率优化分配 

分 类 号：TM76[电气工程—电力系统及自动化]