采用本地信号的可控串联电容补偿神经网络逆系统控制方法

选取可控串联电容补偿(TCSC)上传输的有功功率作为被控量，本文提出了采用本地信号的TCSC神经网络逆系统控制方法。该方法基于较完整的TCSC非线性动态模型，实现了TCSC系统的精确线性化，同时所设计的控制策略适用于任意的电力系统结构。控制器的设计使用神经网络逆系统方法，使得所设计的控制策略不依赖于系统的精确模型和参数。针对两区域四机电力系统的仿真结果表明所设计的控制策略能达到直接控制TCSC传输功率，间接控制远端发电机功角的目的。

NEURAL-NETWORK-INVERSE-BASED TCSC CONTROL STRATEGY USING ONLY LOCAL MEASUREMENTS

Using only local measurements axed taking measurable active power passing through TCSC as the control objective, this paper presents a novel neural-network-inversebased TCSC control strategy. Based on TCSC's detailed nonlinear dynamic model, TCSC system is strictly linearized, and the proposed method can be applied to arbitrary power system topology. Neural-network-inverse-system method is used to construct the controller, and thus the proposed strategy is not dependent on the system's accurate model axed parameters. The simulation results aiming at a two-area four-machine power system demonstrate that the both goals of directly controlling active power through TCSC and indirectly controlling remote generator's power angle can be simultaneously reached.