摘要
发电机励磁控制关系到系统电压稳定和无功分配。复杂突变工况下,采用工程整定方法得到的PID参数很难满足系统稳定的高品质要求,寻找参数的智能优化方法成为研究热点。禁忌搜索(Tabu)是一种高效搜索算法,模拟人类记忆来跳出一般优化方法的早熟局限。本文通过动态调整邻域范围、终止准则,改进禁忌条件来提高算法效率。建立励磁调节系统及PSS模型,以综合电压性能指标为适应度,应用Tabu优化PID参数,并在RTDS实验装置上进行验证。优化后的PID控制,电压跟踪和抗干扰性能都有明显提升,证明了该方法的有效性。
The excitation control of the generator is related to the system voltage stability and reactive power distribution. Under the complex mutation condition, the PID parameters obtained by the engineering tuning method are difficult to meet the high quality requirements of the system stability, so the intelligent optimization method of PID parameters becomes the research hot spot.Tabu is an efficient search algorithm that simulates human memory to jump out of the premature limitation of general optimization methods. This paper improves the efficiency of the algorithm by dynamically adjusting the neighborhood range, the termination criteria and improving the taboo condition. The excitation regulation system and PSS model are established, taking the comprehensive voltage performance index as fitness. The Tabu algorithm is used to optimize the PID controller parameters, which is verified on the RTDS experimental device. The optimized PID control, voltage tracking and anti-jamming performance are obviously improved, which proves the effectiveness of the method.
作者
王平
陈根军
姬源
闵国君
黄育松
赵云峰
WANG Ping;CHEN Genjun;JI Yuan;MIN Guojun;HUANG Yusong;ZHAO Yunfeng(Power Grid Dispatching Control Center of Guizhou Power Grid, Guiyang 550002, China;NR Electric Engineering Technology Co., Ltd., Nanjing 211102, China)
出处
《大电机技术》
2018年第3期61-65,80,共6页
Large Electric Machine and Hydraulic Turbine
基金
国家自然基金项目资助(51505213)
