摘要
汽轮发电机组附加励磁阻尼控制器(SEDC)是为固定串补输电系统次同步谐振(SSR)提供有效阻尼的一种措施。文中采用的SEDC模型,在实现分离模态控制的同时,可使移相补偿和比例放大2个环节相互独立、互不影响。采用并行处理能力强、具有学习机制的粒子群优化(PSO)算法对SEDC参数进行寻优。同时,为防止算法陷入局部最优,引入变异机制以提高全局搜索能力。通过对一个有实际背景的研究算例的特征值分析和时域仿真分析,验证了文中基于改进PSO算法设计的SEDC鲁棒性强,能够为多模态SSR提供有效的阻尼。
The supplementary excitation damping controI｜er （SEDC） of the turbine-generator has been proven to be one of the most economical and convenient methods for damping of subsynchronous resonance （SSR） in the power system with the fixed series compensation. A novel SEDC model is presented based on independent modal space control theory. By this means, gain and phase compensator can be designed separately without interaction. An improved particle swarm optimization （PSO） algorithm for SEDC parameters design is proposed. To improve this algorithm, the mutation mechanism is involved to improve the global convergence capability and to escape from the locally optimal solutions. A case study with practical background is employed to validate the proposed algorithm. The eigenvalue analysis and time domain simulation methods are used. The results show that the SEDC designed by improved PSO algorithm can damp multi-mode SSR oscillations effectively and robustly.
出处
《电力系统自动化》
EI
CSCD
北大核心
2009年第7期11-16,共6页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50807036)~~
关键词
次同步谐振
附加励磁阻尼控制器
改进粒子群优化算法
参数优化
subsynchronous resonance （SSR）
supplementary excitation damping controller （SEDC）
improved particle swarm optimization algorithm
parameters optimization
