基于双层规划的非线性鲁棒电力系统稳定器参数整定方法

使用先进的励磁控制技术是改善电力系统稳定性和动态品质的有效手段。采用反馈线性化和鲁棒控制理论设计的非线性鲁棒电力系统稳定器(NR-PSS)是一种先进的励磁控制装置。在深入研究电力系统稳定器(PSS)参数整定原理和NR-PSS现有参数整定方法的基础上,提出了一种基于双层规划的NR-PSS线性部分参数整定方法,以满足阻尼频带宽和控制代价低两方面要求。通过等价非线性规划可求出最优参数。仿真结果表明,应用所提出方法设定的参数可以改善NRPSS的控制效果。     

电力系统稳定器PSS2A现场试验及参数整定

介绍了汽轮发电机组现场PSS试验和南瑞继保公司的PCS-9410励磁调节器中PSS2A模型及其参数整定过程,总结了PSS现场试验流程及方法.同时根据现场试验数据,应用频率响应法对励磁系统的电力系统稳定器PSS模型的参数进行了整定,验证了投入的电力系统稳定器对增强系统的阻尼具有很好的效果.     

励磁系统及电力系统稳定器对发电机组次同步谐振阻尼特性的影响

采用时域仿真实现的复转矩系数法,测试信号法,以IEEEAC1A型、AC2A型以及ST1A型3种标准的励磁系统和IEEE单通道的电力系统稳定器(powersystemstabilizer,PSS)为研究对象,分析了它们对发电机组次同步谐振阻尼特性的影响。通过频率扫描计算发电机组在次同步频率下的电气阻尼特性曲线,从而对各种励磁系统在无PSS以及装设不同输入信号的PSS情况下对电气阻尼特性的影响进行了分析;并分析了PSS参数对电气阻尼特性的影响。分析结果表明,高起始响应励磁系统在与以发电机输出电磁功率作为输入信号的PSS配合使用时,能够减小谐振点附近的电气负阻尼,使得其在抑制低频振荡的同时,还有利于缓解次同步谐振。     

电力系统稳定器PSS2A现场试验及参数整定

介绍了汽轮发电机组现场PSS试验和南瑞继保公司的PCS-9410励磁调节器中PSS2A模型及其参数整定过程,总结了PSS现场试验流程及方法。同时根据现场试验数据,应用频率响应法对励磁系统的电力系统稳定器PSS模型的参数进行了整定,验证了投入的电力系统稳定器对增强系统的阻尼具有很好的效果。     

电力系统稳定器试验与参数测试

三河发电厂在2004年度2号机组大修中完成了2号发电机组电力系统稳定器(PSS)的在线无补偿励磁系统频率响应特性测试;在线励磁系统有补偿相频特性仿真;PSS增益调整;在线电压阶跃响应试验校验PSS阻尼效果等试验,取得了良好的试验效果,现2号发电机组PSS系统投入正常运行。     

华能大连电厂350 MW机组PSS试验

介绍了华能大连电厂1号机励磁系统PSS参数整定试验、PSS放大倍数整定方法及反调试验,完成了在线无补偿频率特性试验、发电机组无PSS负载阶跃试验、发电机组有PSS负载阶跃试验.     

基于最优补偿特性的2型PSS参数拟合软件开发

电力系统稳定器(PSS)参数整定试验过程操作复杂且过多依赖试验人员经验.针对国内普遍应用的2型PSS,提出一种基于最优补偿特性的PSS控制参数自适应拟合方法.分析了PSS的最优补偿特性,在考虑运行约束的条件下,建立了以补偿特性与最优补偿特性方差最小为目标的PSS控制参数自适应拟合模型,该模型可自动匹配发电机组励磁系统的...     

基于Prony方法的大型互联电网PSS参数优化设计

提出了一种完全基于仿真曲线Prony分析的电力系统稳定器(PSS)参数优化设计方法.该方法通过对仿真曲线的Prony分析辨识系统的弱阻尼区域振荡模式信息,以提高区域振荡模式下的阻尼为优化目标,在限定的参数空间中进行PSS参数优化设计.采用单纯形法对PSS参数进行优化,以Prony方法辨识的PSS参数作为单纯形区域的初始中心点可克服算法的收敛性问题.云南电网发电机组实际PSS参数优化设计的结果表明:在云南电网多种运行方式下,均可很好地抑制系统的区域振荡,验证了PSS参数优化设计方法的有效性和鲁棒性.所提出的基于Prony算法的PSS参数优化方法优于传统PSS设计方法,适用于大型互联电网发电机组的PSS设计.     

电力系统稳定器反调效果的研究及验证

当前电力系统功率振荡模式越来越复杂,且动态稳定性问题日益突显。为此列举了3种当前主流电力系统稳定器(power system stabilizer,PSS)的模型结构及原理,分析了PSS模型中有功型(PSS1A)反调产生的机理及加速功率型(PSS2B)、多频段型(PSS4B)抑制反调的原理,以及有功调节速度、PSS参数选择等因素对抑制反调效果的影响。基于实时数字仿真系统对2种电力系统稳定器模型抑制反调的效果进行了验证和比较,得出其抑制反调的原理和现场参数整定的依据。指出合理的参数配置可以减小反调的发生,提高电力系统的动态稳定性,为发电机组的稳定运行和现场试验提供参考依据。     

汽轮发电机励磁系统PSS参数优化

介绍了某厂汽轮机的设备参数,说明了电力系统稳定器（PSS）参数优化的必要性,阐述了PSS的工作原理及其参数整定原则,并具体分析了对所辖电厂发电机组进行励磁系统PSS功能优化的试验,为同类型机组的PSS参数整定提供了借鉴.     

Design of a nonlinear power system stabilizer using synergetic control theory

Electromechanical oscillations of small magnitude and low frequency exist in the interconnected power system and often persist for long periods of time. Power system stabilizers (PSSs) are traditionally used to provide damping torque for the synchronous generators to suppress the oscillations by generating supplementary control signals for the generator excitation system. Numerous techniques have previously been proposed to design PSSs but many of them are synthesized based on a linearized model. This paper presents a nonlinear power system stabilizer based on synergetic control theory. Synergetic synthesis of the PSS is based fully on a simplified nonlinear model of the power system. The dynamic characteristics of the proposed PSS are studied in a typical single-machine infinite-bus power system and compared with the cases with a conventional PSS and without a PSS. Simulation results show the proposed PSS is robust for such nonlinear dynamic system and achieves better performance than the conventional PSS in damping oscillations.     

基于微粒群优化算法的最优电力系统稳定器设计

传统电力系统稳定器的性能受其参数影响很大,为提高电力系统机电暂态模型的阻尼,文中提出了一种优化电力系统稳定器参数的新方法。该方法以两个特征值基目标函数为基础,采用改进的微粒群优化技术对电力系统稳定器进行参数优化。特征值分析和非线性仿真结果表明,经过参数优化的电力系统稳定器能有效抑制本地和区域间振荡,提高系统的鲁棒性。     

Robust decentralized multi-machine power system stabilizer design using quantitative feedback theory

A new robust power system stabilizer (PSS) design using Quantitative Feedback Theory (QFT) for damping electromechanical modes of oscillations and enhancing power system stability is proposed in this paper. The design procedure is carried out on a multi-input–multi-output (MIMO), non-minimum phase and unstable plant. A multi-machine electric power system with system parametric uncertainties is considered as a case study. To show the effectiveness of the QFT technique, the proposed method is compared with a conventional PSS (CPSS) whose parameters are tuned using the classical lead-lag compensation and genetic algorithms. Several nonlinear time-domain simulation tests indicate that the suggested control scheme is robust to the changes in the system parameters and also to successfully reject the disturbances. The results also show that the performance of the QFT method given in this paper is more desirable than CPSS and genetic algorithm (GA).     

ASVG的非线性L2增益干扰抑制控制器

将非线性鲁棒控制方法用于先进的静止无功发生器（ASVG）的控制。基于电力系统动态、耗散系统理论框架和非线性L2增益干扰抑制方法,建立了单机无穷大系统中的ASVG鲁棒控制数学模型。模型中考虑了来自发电机转子轴上的机械功率扰动和ASVG输出电压的扰动。并在此基础上,采取递推设计方法构造能量存储函数,以避免求解HamiltonJacobiIssacs不等式,从而得到ASVG的非线性L2增益干扰抑制控制规律。单机无穷大系统的仿真结果证明,与传统PID PSS控制方式相比,在此控制规律下,ASVG能够更有效地阻尼系统振荡,提高系统暂态稳定性能。     

自适应电力系统稳定器设计的频域方法

本文提出了一种自适应电力系统稳定器设计的频域方法。这种自适应稳定器通过在线估计系统中发生振荡的频率与阻尼,调整稳定器参数,以保持向系统提供足够的阻尼,从而使其能够适应电力系统运行方式及工况的变化,达到抑制振荡,提高系统稳定性的目的。文中给出了设计实例及详细的非线性仿真结果。     

Optimal Tuning for Linear and Nonlinear Parameters of Power System Stabilizers in Hybrid System Modeling

This paper focuses on the systematic optimal tuning of the power system stabilizer (PSS), which can improve the system damping performance immediately following a large disturbance. As the PSS consists of both linear parameters (such as the gain and time constant) and nonsmooth nonlinear parameters (such as saturation limits of the PSS), two methods are applied for the optimal tuning of all parameters. One is to use the optimization technique based on the Hessian matrix estimated by the feedforward neural network, which identifies the first-order derivatives obtained by the trajectory sensitivities, for the nonlinear parameters. Moreover, the other is to use the eigenvalue analysis for the linear parameters. The performances of parameters optimized by the proposed method are evaluated by the case studies based on time-domain simulation and real-time hardware implementation.     

自适应混沌粒子群算法在PSS设计中的应用

该文采用一种改进的粒子群算法PSO———自适应混沌粒子群算法ACPSO,对多机电力系统稳定器参数进行优化设计,以抑制系统低频振荡。该算法通过混沌初始化粒子群,在迭代计算过程中根据粒子的适应值自适应地调整算法惯性系数,从而可以获得更好的全局搜索能力和收敛速度。选取系统机电振荡模式最小阻尼比最大化为目标函数,将PSS参数优化转换为带不等式约束的非线性优化问题。以3机9节点系统为例,特征值和非线性仿真结果表明,运用该方法设计的PSS能够有效地抑制外界扰动引起的低频振荡。     

大型发电机组调速器的非线性最优PSS

提出了一种大型水电站调速系统的非线性最优电力系统稳定器(PSS)的原理和技术.该技术的关键是采用了状态-动态-测量(SDM)的反馈方法.计算机仿真和动模实验证明,利用该方法推导出的水电站调速系统非线性最优PSS(GNOPSS)控制规律能够显著提高远距离输电系统的安全稳定性,其效能价格比远超过多种FACTS设备,且与FACTS设备的效果是叠加的,不发生矛盾.该研究成果同样适用于大型火电机组的汽门开度调节系统.     

Coordinated Design of Power System Stabilizers and Static Phase Shifters Using Genetic Algorithm

Coordinated design of a power system stabilizer (PSS) and a static phase shifter (SPS) using genetic algorithm (GA) is investigated in this paper. The design problem of PSS and SPS controller is formulated as an optimization problem. An eigenvalue-based objective function to increase the system damping is proposed. Then, GA is employed to search for optimal controller parameters. Different control schemes have been proposed and tested on a weakly connected power system with different disturbances, loading conditions, and parameter variations. It was observed that although the PSS enhances the power system stability, the SPS controller provides most of the damping and improves the voltage profile of the system. The nonlinear simulation results show the effectiveness and robustness of the proposed control schemes over a wide range of loading conditions and system parameter variations.