摘要: |
针对柔性直流输电系统(Voltage Source Converter based High-Voltage Direct-Current, VSC-HVDC)双闭环控制中PI控制存在参数整定困难及控制器数量过多等问题,提出一种具有PID功能的自适应神经元模糊推理系统(Adaptive Neuro-Fuzzy Inference System with PID function, PID-ANFIS)控制器用于该系统控制。其中,PID-ANFIS控制器兼有神经网络控制、二阶模糊控制及PID功能;同时提出的基于三重合作粒子群算法(Treble Cooperative Particle Swarm Optimization, TCPSO)用于优化该控制器中神经网络参数。TCPSO采用由降维合作、分组合作与记忆合作组成的三重合作策略,极大程度上提升了神经网络参数优化的精度。深入研究了TCPSO优化PID-ANFIS控制器参数的步骤。基于TCPSO优化的PID-ANFIS控制器能够实现VSC-HVDC系统的直接功率控制效果。仿真结果表明该控制器具有控制速度快、超调量小、抗干扰能力强等优点,是VSC-HVDC控制系统的一个可行方案。 |
关键词: 柔性直流输电 PID 自适应神经元模糊推理系统 三重合作粒子群算法 直接功率控制 |
DOI:10.7667/j.issn.1674-3415.2015.17.005 |
投稿时间:2014-11-14修订日期:2015-01-26 |
基金项目: |
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A control method of PID-ANFIS controller for VSC-HVDC |
YANG Tian,HUO Linlin |
(Weihai Electric Power Company, State Grid Shandong Electric Power Company, Weihai 264200, China) |
Abstract: |
Due to the PI control system for VSC-HVDC has problems of parameters difficult to set, too many control users, and so on, a novel controller composed of PID function and multiple-output ANFIS (PID-ANFIS) is presented, which is made up of neural network, two order fuzzy control and PID control. A treble cooperative PSO (TCPSO) is also presented to optimize PID-ANFIS controller’s neural parameters. TCPSO is forged by harmonizing the grouping cooperation, the dimension-reduced cooperation and memory cooperation, which is able to improve the precision of optimizing neural networks. This paper provides the process of PID-ANFIS parameters training by TCPSO. Then, the TCPSO based PID-ANFIS controller performs the function of direct power control. The simulation results show that the controller presented has significant advantages of faster speed, smaller overshoot and better robustness by comparing to PI and it is a viable choice for VSC-HVDC control system. |
Key words: VSC-HVDC PID ANFIS TCPSO DPC |