Optimal design of multiple controllers based on MIMO identification for large scale power system | |
Lu Chao ; Jin Xiaoming ; Li Peng ; Wu Xiaochen | |
2010-10-12 ; 2010-10-12 | |
关键词 | Practical Theoretical or Mathematical/ control system synthesis curve fitting damping HVDC power transmission MIMO systems optimal control power system interconnection power transmission control/ optimal design MIMO identification large scale power system multiple damping controllers low-frequency oscillation interconnected power systems system identification electromechanical oscillation modes prediction error method multiple-input multiple-output order-reduced system model linear optimal control technique modulation controller design HVDC links/ B8120G d.c. transmission B0290F Interpolation and function approximation (numerical analysis) C3340H Control of electric power systems C1340B Multivariable control systems C1310 Control system analysis and synthesis methods C1330 Optimal control C4130 Interpolation and function approximation (numerical analysis) |
中文摘要 | The multiple damping controllers must be coordinately designed to avoid the low-frequency oscillation of inter-connected power systems. However, it is difficult to mathematically model a complicated power system. An optimal design approach based on system identification is proposed. A special injection signal, 0. 1~3 Hz covering all the electro-mechanical oscillation modes, is injected to excite the dynamics of system and the prediction error method is employed to identify the MIMO (Multiple Inputs and Multiple Outputs) order-reduced system model. Additional state and output variables are introduced to improve the traditional linear optimal control technique, which enable the controller to include both lead-lag and proportion blocks. The extended system equations and controller parameter calculation method are given. This approach is verified by the modulation controller design for two HVDC links. The curve fitting degree of MIMO order-reduced model identification is more than 80%. |
语种 | 中文 |
出版者 | Editorial Office of Electrical Power Automation Equipment ; China |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/82538] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | Lu Chao,Jin Xiaoming,Li Peng,et al. Optimal design of multiple controllers based on MIMO identification for large scale power system[J],2010, 2010. |
APA | Lu Chao,Jin Xiaoming,Li Peng,&Wu Xiaochen.(2010).Optimal design of multiple controllers based on MIMO identification for large scale power system.. |
MLA | Lu Chao,et al."Optimal design of multiple controllers based on MIMO identification for large scale power system".(2010). |
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