神光III能源模块作为一种大功率强激光功率源，采用合适传感头准确可靠测量其脉冲电流，有利于提高能量 传输的可靠性和准确性。该文分析了置于该能源模块中高压侧测量不同脉冲宽度电流的Rogowski测量线圈的数学模 型、时域和频域特性，以及最佳阻尼参数配合和优选方法，并对基于MATLAB环境下SIMULINK工具所做的仿真结 果和现场实验测试采集到的脉冲电流波形进行了比较。为有效抑制积分漂移，该文提出了复合积分器电路模型。该 文章介绍的基于Rogowski线圈的测量仪器具有尺寸小、结构简单、低功耗、高准确度、安全操作等特点。

该文分析了PWM高压变频器中输出电缆对电机影响、共模电压和三电平逆变器箝位点电位不平衡机理。为有效抑制共模电压对变频器的不良影响，提出了新型拓扑结构：在24脉波整流/三电平逆变的高压变频器中，设置共模电抗器，并将整流器中性点、直流侧中间点、输出滤波器中性点和三电平逆变器箝位点相连，并通过小电阻和系统地相连。基于该拓扑结构对6kV/2250kW 的电机所进行的仿真结果表明，该拓扑结构可以减小高压变频器的共模电压，提高变频器运行的可靠性。

阐述了电力电子变压器（PET）在电力系统的应用前景、特点和方式，分析了PET的解耦控制方法及PET和发电机励磁的最优协调控制方法仿真结果表明，PET在暂态过程中控制性能良好，可有效提高电力系统的稳定性。

Field tests have been conducted on a microcomputer-b.ased adaptive synchronous machine stabilizer. The adaptive control algorithm tracks the system operating conditions using a least squares identification technique with variable forgetting factor and the control is calculated by a self-searching pole-shift method. An outline of the control algorithm and the results of field tests on a 400MW thermal generating unit are described in this paper.

Use of an adaptive optimal control algorithm for two realtime control applications, (i) optimal excitation control of a synchronous generator (OEC) and (ii) power system stabilizer (PSS) is described in this paper. Experimental studies on a physical model of a power system show that the proposed OEC and PSS can track the controlled system by parameter identification at different operating conditions. The proposed control algorithm is based on the linear optimal control theory and a special 5th order discrete Riccati equation is solved in each sampling period. The proposed OEC and PSS can always guarantee that in closed loop the controlled system is stable based on the identified parameters. As the actual output of the controlled system and control are directly used in the controller, no observer is required. Also, the proposed OEC and PSS can track the controlled system very fast. A number of tests have been performed. All show satisfactory results.

A neural network based optimal excitation controller (NNOEC) is proposed in this paper. In this NNOEC, a BP neural network is used to adjust the optimal feedback gains according to the state variables of the generator. So the controller can automatically adapt the changed operating conditions of the system and always give optimal control. Simulations with the NNOEC and LOEC in single machine system and simulations with the NNOEC and AVR+PSS in three-machine system are conducted, where the simulations for the single machine system are carried out based on the Three Gorges 700MW hydropower generator. Simulation results show that the designed NNOEC can provide good control performance under various operating points and different disturbances.

HVDC Light is a new HVDC transmission system based on VSC (Voltage Source Converters) technology. The interconnected generator-network HVDC Light models are established in this paper, the models include: (1) a DC two-terminal monopolar system and (2) a parallel AC/DC power system consisting of voltage source converters. Then a new optimal controller based on the established models is proposed in this paper. The comparisons of damping performance to the power system are made between the HVDC Light with the proposed controller and the conventional HVDC, and then the improvement to the transient stability with the HVDC Light is verified by the simulation results.

Implementation of an adaptive Power System Stabilizer (PSS) based on linear optimal control is described in this paper. The generator is identified in real time, and a special 3rd order discrete Riccati equation is solved in each sample interval. Because the output of the generator is fed back directly, the controller can track the system very fast. Experimental studies on a physical model of a power system demonstrate the effectiveness of the proposed adaptive optimal controller.

A new approach is developed for calculating the dynamic response of multi-spool rotor systems with several intershaft bearings using the combined methodologies of the finite element method (FEM), transfer matrices (TM) and impedance methods. The approach makes use of FEM to model shaft elements and then transforms the system properties to transfer matrix mode. The intershaft bearings are treated by the impedance method. It combines the advantages of these three methods. Some numerical examples are considered to check the viability of the method.

An adaptive excitation controller for a synchro-nous generator based on the linear optimal control theory is proposed in this paper. The generator operating conditions are tracked by a model whose parameters are identified every sampling interval using the actual input and output of the generator. The control is computed by solving a third order Riecati equation and the identified model parameters. Studies on a single machine infinite-bus system and a three-machine infinite-bus system show very promising results.