| 引用本文: | 荆立坤,杨 宁,刘 波,潘凤萍,杨 博.同步发电机最优非线性自适应励磁控制器设计[J].电力系统保护与控制,2020,48(23):115-123.[点击复制] |
| JING Likun,,YANG Ning,et al.Optimal nonlinear adaptive excitation controller design of a synchronous generator[J].Power System Protection and Control,2020,48(23):115-123[点击复制] |
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| 摘要: |
| 设计了一款最优非线性自适应励磁控制器(Optimal Nonlinear Adaptive Excitation Controller, ONAEC)用于多机电力系统以提升系统故障恢复能力。首先，通过一个高增益扰动观测器(High-Gain Perturbation Observer, HGPO)对由发电机的非线性、不确定性、未建模动态等效聚合而来的扰动进行实时快速估计。随后，该扰动由ONAEC进行在线完全补偿并通过改进樽海鞘群算法(Modified Salp Swarm Algorithm, MSSA)获取其最优控制参数。另外ONAEC具备结构简单、易于实现等优点，且仅需测量发电机功角一个状态量便可实现全局一致的控制性能。最后，进行了两种算例研究，即标称模型以及参数不确定下的三相短路。其仿真结果表明，与比例-积分-微分(Proportional-Integral-Derivative, PID)控制和反馈线性化控制(Feedback Linearization Control, FLC)相比，ONAEC能在各种工况下实现最佳的动态性能，有利于系统受到较大扰动后快速恢复稳定运行。 |
| 关键词: 最优非线性自适应励磁控制器 高增益扰动观测器 多机电力系统 改进樽海鞘群算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.200046 |
| 投稿时间：2020-01-10修订日期：2020-05-09 |
| 基金项目:国家自然科学基金项目资助(61963020) |
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| Optimal nonlinear adaptive excitation controller design of a synchronous generator |
| JING Likun,,YANG Ning,LIU Bo,PAN Fengping,YANG Bo |
| (1. Huadian Weifang Power Generation Company Limited, Weifang 261000, China; 2. Guangdong Diankeyuan Energy
Technology Co., Ltd., Guangzhou 440104, China; 3. Faculty of Electric Power Engineering,
Kunming University of Science and Technology, Kunming 650500, China) |
| Abstract: |
| This paper designs an Optimal Nonlinear Adaptive Excitation Controller (ONAEC) to enhance the stability of multi-machine power systems. First, the nonlinearities, parameter uncertainties, unmodelled dynamics and time-varying external disturbances of the synchronous generator are aggregated into a perturbation, which is estimated by a High-Gain Perturbation Observer (HGPO) in real-time. Then, the estimated perturbation is fully compensated by ONAEC and the optimal control parameters are obtained by Modified Salp Swarm Algorithm (MSSA). In addition, ONAEC has the advantages of simple structure and easy implementation, and it can achieve a globally consistent control performance by measuring only one state, e.g. rotor angle. Finally, two case studies, e.g., the three-phase short-circuit fault with nominal parameter and parameter uncertainties, are undertaken. Simulation results show that compared with Proportional-Integral-Derivative (PID) control and Feedback Linearization Control (FLC), ONAEC can achieve the best dynamic performance under various operational conditions and effectively restore the power system after failure.
This work is supported by National Natural Science Foundation of China (No. 61963020). |
| Key words: optimal nonlinear adaptive excitation controller high-gain perturbation observer multi-machine power system modified salp swarm algorithm |
