AN ADVANCED ADAPTIVE - LEARNING CONTROLLER FOR FACTS TO IMPROVE POWER SYSTEM STABILITY

机译：事实的高级自适应学习控制器，可提高电力系统的稳定性

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The power system models for transient stability studies are nonlinear and complex. Their parameters slowly change with time due to environmental effects or rapidly due to faults. It is preferable that the control technique in this system possesses robustness for various fault conditions and disturbances. Many control techniques that using Advanced Super-conducting Magnetic Energy Storage (ASMES) to improve power system stability have been proposed. While fuzzy controller has proven its value in some applications, the researches applying fuzzy controller with ASMES actively reported. But it is sometimes very difficult to specify the rule base for some plants, when the parameters changes. To solve this problem, a Fuzzy Model Reference Learning Controller (FMRLC) is proposed in this paper, where investigate multi-input multi - output (MIMO) FMRLC for time-variant nonlinear system. This provides the motivation for adaptive fuzzy control, where the focus is on the automatic on-line synthesis and tuning of fuzzy controller parameters (i.e., use online data to continually learn the fuzzy controller which will ensure that the performance objectives are met). Simulation results show that the proposed robust controller is able to work with non-linear and non-stationary power system (i.e., single machine - infinite bus system), under various fault conditions and disturbances.

机译：用于暂态稳定性研究的电力系统模型是非线性的且复杂的。它们的参数由于环境影响而随时间缓慢变化，或者由于故障而迅速变化。优选地，该系统中的控制技术具有针对各种故障条件和干扰的鲁棒性。已经提出了许多使用高级超导磁储能（ASMES）来提高电力系统稳定性的控制技术。尽管模糊控制器已经在某些应用中证明了其价值，但对带有ASMES的模糊控制器的研究却积极报道。但是，当参数更改时，有时为某些工厂指定规则库非常困难。为了解决这个问题，本文提出了一种模糊模型参考学习控制器（FMRLC），研究时变非线性系统的多输入多输出（MIMO）FMRLC。这为自适应模糊控制提供了动力，其中重点是模糊控制器参数的自动在线综合和调整（即使用在线数据不断学习模糊控制器，这将确保达到性能目标）。仿真结果表明，所提出的鲁棒控制器能够在各种故障条件和干扰下与非线性和非平稳电力系统（即单机-无限总线系统）一起工作。

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来源
《Recent advances in circuits, systems and signals》|2010年|p.184-190|共7页
会议地点 Malta(MT);Malta(MT)
作者
A. NACERI; H. HAMDAOUI; M. ABID; H. BOUNOUA;
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作者单位

Laboratory IRECOM, Dept. of Electrical Engineering, University of SIDI BEL ABBES, 22000 Algeria;

Laboratory ICEPS, Dept. of Electrical Engineering, University of SIDI BEL ABBES, 22000 Algeria;

Laboratory IRECOM, Dept. of Electrical Engineering, University of SIDI BEL ABBES, 22000 Algeria;

Laboratory IRECOM, Dept. of Electrical Engineering, University of SIDI BEL ABBES, 22000 Algeria;

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会议组织
原文格式 PDF
正文语种 eng
中图分类电路理论;
关键词
transient power system stability; FACTS; ASMES; current source inverter (CSI); MIMO fuzzy controllers; reference model; adaptive and learning control;

机译：暂态电力系统的稳定性；事实； ASMES；电流源逆变器（CSI）； MIMO模糊控制器；参考模型自适应和学习控制;

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2. Non-linear adaptive coordinated controller design for multimachine power systems to improve transient stability [J] . Tushar Kanti Roy, Md Apel Mahmud, Weixiang Shen, Generation, Transmission & Distribution, IET . 2016,第13期

机译：用于多机动力系统的非线性自适应协调控制器设计，以提高瞬态稳定性
3. Advanced Adaptive Particle Swarm Optimization based SVC Controller for Power System Stability [J] . Poonam Singhal, S. K. Agarwal, Narendra Kumar International Journal of Intelligent Systems and Applications . 2015,第1期

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4. Adaptive Fuzzy PI Controller for TCPST to improve power system Stability Optimized by Ant Colony method [C] . Navabi R., Shayanfar H.A., Etemad R. International Conference on Electrical Engineering/Electronics Computer Telecommunications and Information Technology;ECTI-CON 2010 . 2010

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5. Stability and robustness of adaptive controllers for underactuated Lagrangian systems and robotic networks. [D] . Nguyen, Kim-Doang. 2015

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6. Optimal Placement of Unified Power Flow Controllers to Improve Dynamic Voltage Stability Using Power System Variable Based Voltage Stability Indices [O] . Fadi M. Albatsh, Shameem Ahmad, Saad Mekhilef, -1

机译：使用基于电力系统变量的电压稳定性指标来优化统一潮流控制器的位置以提高动态电压稳定性
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机译：使用基于电力系统变量的电压稳定性指标来优化布置统一的潮流控制器，以提高动态电压稳定性

AN ADVANCED ADAPTIVE - LEARNING CONTROLLER FOR FACTS TO IMPROVE POWER SYSTEM STABILITY

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