两个独立的连续在线训练神经控制器为统一的功率流控制器

R. Kalyani, G. Venayagamoorthy
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引用次数: 12

摘要

影响现代电力系统运行的关键因素是潮流控制。统一潮流控制器(UPFC)为控制潮流、提高电网暂态稳定性提供了一种有效手段。UPFC具有快速复杂的动态特性,其传统控制是基于电力系统的线性化模型。本文介绍了一种用于输电线路潮流控制和电压调节的神经控制器的设计。两个独立的神经控制器用于控制UPFC,一个神经控制器用于并联逆变器,另一个用于串联逆变器。在PSCAD/EMTDC环境下进行了仿真研究,结果表明这两个神经控制器成功地控制了UPFC和电源系统。将神经控制器与传统PI控制器在系统振动阻尼方面的性能进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two separate continually online trained neurocontrollers for a unified power flow controller
The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) provides an effective means for controlling the power flow and improving the transient stability in a power network. The UPFC has fast complex dynamics and its conventional control is based on a linearized model of the power system. This paper presents the design of neurocontrollers that control the power flow and regulates voltage along a transmission line. Two separate neurocontrollers are used for controlling the UPFC, one neurocontroller for the shunt inverter and the other for the series inverter. Simulation studies carried out in the PSCAD/EMTDC environment is described and results show the successful control of the UPFC and the power system with the two neurocontrollers. Performances of the neurocontrollers are compared with the conventional PI controllers for system oscillation damping.
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