基于SVPWM控制技术的串联补偿装置设计

柔性交流输电系统(FACTS)技术在提高电力系统运行稳定性和用电效率等方面起着至关重要的作用,即在FACTS技术的基础上对静止同步串联补偿器(SSSC)的数学模型和控制技术进行研究,并试将其应用到中低压电网中。先对配电网串联补偿装置的拓扑结构和控制技术的仿真模型再到小型模拟实验调试进行了深入细致研究,最后设计了以DSP+CPLD为核心芯片的模拟串联补偿装置控制系统,该串联补偿装置的控制系统是基于静止同步串联补偿器(SSSC)在配电网中的应用,它可以改变系统电压、电流、相角等参数来提高电力系统运行的稳定性。经Matlab仿真对配电网系统模型的分析和实验室对小型串联补偿装置控制系统的波形验证结果观察,该串联补偿装置控制技术可行,其对动态的无功补偿大大地提高了电网的功率因数,使串联补偿装置的控制系统性能得到了极大地提高。     

提高牵引供电电能质量技术的研究

在分析输电线路中TCSC与SVC的设计所存在的相互矛盾的基础上,针对牵引供电系统中动态并联补偿装置与串联补偿装置的协调控制问题进行研究.在节能的前提下,得出了各补偿装置补偿容量的优化控制策略,并提出了一种动态并联补偿装置的定性定量控制技术.该控制系统有效地提高了补偿的速度和精度,并具有良好的跟踪负载变化的性能,对我国电气化铁路的改造具有重要意义.     

基于负载电压控制的可控串补技术研究

可控串联补偿技术（TCSC）能很好的提高电压质量和电力系统的稳定性。本文提出了一种以负载电压作为控制变量,根据其与目标电压的差值,计算晶闸管触发脉冲的触发角,从而控制无功串补容量的控制方法,并在Matlab／Simulink环境中设计了仿真系统。结果表明该控制方法能很好的提高负载电压,改善系统的暂态稳定性,对无功串补控制技术有一定的适用性。     

基于新型仿真工具的TCSC建模及仿真研究

本文基于一种新型电力系统仿真工具箱(PSAT),对电力系统中可控串联补偿电容器进行了动态建模,设计了多变量PID控制器来完成TCSC的多目标控制.结合IEEE14节点测试系统实例进行时域仿真,结果表明TCSC能有效提高系统的暂态稳定性,且该仿真方法应用MATLAB开发环境下的PSAT新型仿真工具箱来完成,具有设计简洁、高效的特点.     

TCR+FC型SVC的研究及MATLAB仿真——一种电力节能设备

基于瞬时无功功率理论,将具体介绍静态无功补偿装置(SVC)的原理,和一种SVC(三相对称负载的晶闸管控制电感器TCR+容性无功功率补偿装置及滤波器组FC)的设计与仿真。采用闭环控制来实现用户端恒定电压的要求,为有效抑制电网由于负载扰动等因素引起的电压突变,在电压环内设计了一个导纳补偿环节,用以提高系统应对电压突变的响应速度。通过观看MATLAB的仿真结果,可以得出此型SVC控制系统对稳定和抑制电压波动,提高功率因数,具有响应速度快、精度高的特点。     

基于反馈线性化的TCSC滑模控制

针对含可控串联补偿(Thyristor Controlled Series Compensation,TCSC)的电力系统非线性强及易受外部扰动的特点,应用反馈线性化方法和滑模变结构控制理论,设计了提高系统稳定性的可控串联补偿滑模控制器。通过引入反馈控制变量,基于状态反馈线性化理论实现了对非线性模型的精确线性化。采用极点配置方法设计滑模切换函数,从理论上保证发电机转子方程具有期望的极点。为了减小抖振采用指数趋近律和准滑动模态方法求取滑模控制律,使得设计的可控串联补偿非线性控制律形式简洁,鲁棒性好。为了验证该控制策略的有效性,在Matlab/Simulink环境下建立了基于反馈线性化的可控串联补偿滑模控制系统仿真模型,进行了仿真研究。仿真结果表明,与传统的控制方式相比,设计的控制器能有效地阻尼系统振荡,增强系统的暂态稳定性。     

基于S^3C的配电网串联补偿技术应用分析

通过理论分析和模拟试验,采用与目前使用较多的TCSC串补装置对比的方法,研究了在配电网中采用基于S3C技术进行串联无功补偿的可能性及效果。研究表明,在配电网中采用基于S^3C的串补技术有助于配电网电压稳定,可实现配电网潮流控制、改善电能质量和减小负荷对配电网的不利影响。其补偿效果优于目前已有较多应用的TCSC装置,有较好的工程应用前景。     

基于一体化仿真支撑环境的静止无功补偿器建模仿真

静止无功补偿技术在电力系统中得到广泛的应用,对电力系统提高功率因数、稳定电压和平衡电网等有重要意义.首先介绍了晶闸管自关断变流器的无功补偿装置的工作原理,接着在一体化仿真支撑环境中用图形化建模技术建立无功补偿器模型,并通过实验分析模型的可用性.     

FACTS控制器探讨

FACTS技术是利用现代电力电子技术与传统的潮流控制技术相结合的产物。随着电力电子技术的不断发展,FACTS技术越来越被广泛地应用于电力输电系统中进行无功补偿、潮流控制等,大幅度的改善高压输电系统的输电性能和电能质量,使系统稳定性和可靠性大大提高。FACTS控制器是FACTS的核心,是FACTS技术得以实现的具体手段。...     

可编程序控制器在静止补偿器起停控制中的应用

静止补偿器(简称SVC)是国外在70年代发展起来的一种快速无功功率调节系统,由于它在调节的快速性、功能的多样性、工作的可靠性、投资和运行费用的经济性等方面具有显著的优点,近年来在电力系统的高压输电中得到广泛的应用。 SVC与其它固定并联无功补偿装置相比为一昂贵和复杂的系统,它由控制调节、保护、阀及其触发监控、阀冷却等多个子系统组成。为了防止在起停过程中可能发生的误操作损坏昂贵的系统设备,并在发生故障后能快速诊断及排除,使其具有高的运行可用率保证输电系统的安全经济运行,均是SVC起停控制系统的主要任务。本文介绍瑞士ABB公司的PROCONTROL P13可     

Optimal location and parametric settings of FACTS devices based on JAYA blended moth flame optimization for transmission loss minimization in power systems

This paper presents a novel hybrid algorithm that includes the superior properties of strong algorithms which have been developed in recent past. The study involves minimization of transmission loss in IEEE networks through the efficient placement of flexible alternating current transmission system (FACTS) devices. In this work two types of devices namely thyristor controlled series compensator (TCSC) and static VAR compensator (SVC) are used in IEEE 14 bus and IEEE 30 bus systems. The main objective of active power loss reduction is achieved through the minimization of installation cost of these devices which is considered as the fitness function for the optimization algorithms. In this paper Moth flame optimization (MFO) in its natural form as well as in hybrid form called JAYA blended MFO (JMFO) is applied for the study. The results obtained are compared with existing technique like particle swarm optimization (PSO).

     

Statistical analysis based reactive power optimization using improved differential evolutionary algorithm

This study presents a novel improved differential evolutionary (IDE) algorithm for optimizing reactive power management (RPM) problems. The effectiveness of IDE algorithm is tested on different unimodal and multimodal benchmark functions. The objective function of the RPM is considered as the minimization of active power losses. Initially, the power flow analysis approach is employed to detect the optimal position of flexible AC transmission system (FACTS) devices. The proposed method is used to determine the optimal value of control variables such as generator's reactive power generation, transformer tap settings, and reactive power sources. Furthermore, the efficacy of the IDE approach is compared with other promising optimization methods such as variants of differential evolution algorithm, moth flame optimization (MFO), brainstorm-based optimization algorithm (BSOA), and particle swarm optimization (PSO) on various IEEE standard test bus (i.e., IEEE-30, -57, -118, and -300) systems with active and reactive loading incorporating FACTS devices. A Static VAR compensator (SVC) for shunt compensation and a thyristor-controlled series compensator (TCSC) for series compensation were used as FACTS devices. The proposed IDE method significantly reduces the active power loss, that is, 55.65% in IEEE 30, 39.68% in IEEE 57, 16.32% in IEEE 118, and 8.56% in IEEE 300 bus system at nominal loading. Finally, the statistical analysis such as Wilcoxon signed-rank test (WSRT) and ANOVA test were thoroughly analysed to demonstrate the firmness and accuracy of the proposed technique.     

SVC在炼钢行业的应用案例

针对三相交流电弧炉对电网电能质量的影响,提出应用静止型无功功率补偿装置（SVC）,并介绍其基本原理与构成。     

Adaptive RTRL based neurocontroller for damping subsynchronous oscillations using TCSC

Modern interconnected electrical power systems are complex and require perfect planning, design and operation. Hence the recent trends towards restructuring and deregulation of electric power supply has put great emphasis on the system operation and control. Flexible AC transmission system (FACTS) devices such as thyristor controlled series capacitor (TCSC) are capable of controlling power flow, improving transient stability and mitigating subsynchronous resonance (SSR). In this paper an adaptive neurocontroller is designed for controlling the firing angle of TCSC to damp subsynchronous oscillations. This control scheme is suitable for non-linear system control, where the exact linearised mathematical model of the system is not required. The proposed controller design is based on real time recurrent learning (RTRL) algorithm in which the neural network (NN) is trained in real time. This control scheme requires two sets of neural networks. The first set is a recurrent neural network (RNN) which is a fully connected dynamic neural network with all the system outputs fed back to the input through a delay. This neural network acts as a neuroidentifier to provide a dynamic model of the system to evaluate and update the weights connected to the neurons. The second set of neural network is the neurocontroller which is used to generate the required control signals to the thyristors in TCSC. This is a single layer neural network. Performance of the system with proposed neurocontroller is compared with two linearised controllers, a conventional controller and with a discrete linear quadratic Gaussian (DLQG) compensator which is an optimal controller. The linear controllers are designed based on a linearised model of the IEEE first benchmark system for SSR studies in which a modular high bandwidth (six-samples per cycle) linear time-invariant discrete model of TCSC is interfaced with the rest of the system. In the proposed controller, since the response time is highly dependent on the number of states of the system, it is often desirable to approximate the system by its reduced model. By using standard Hankels norm approximation technique, the system order is reduced from 27 to 11th order by retaining the dominant dynamic characteristics of the system. To validate the proposed controller, computer simulation using MATLAB is performed and the simulation studies show that this controller can provide simultaneous damping of swing mode as well as torsional mode oscillations, which is difficult with a conventional controller. Moreover the fast response of the system can be used for real-time applications. The performance of the controller is tested for different operating conditions.     

Investigation of different load changes in wind farm by using FACTS devices

In this study, voltage, active power and reactive power variation of load bus were examined by Flexible AC Transmission Systems devices (FACTS) in grid-connected wind farm. In the system, FACTS devices, Static Synchronous Compensators (STATCOM), Static VAr Compensators (SVC), Static Synchronous Series Compensators (SSSC) and Thyristor Controlled Series Compensators (TCSC), were used. Also, dual feed induction generator (DFIG) was used as generator in the wind farm. This simulation study was done via Matlab/Simulink environment. According to different values of active and reactive loads at different times being attached to the system, shapes of load bus voltage, active power and reactive power variation were given, also the results were presented in tables. In the conclusion of this study, by means of FACTS devices that is used in the wind farm, instability was healed within a short time.     

A new modeling and control scheme for thyristor-controlled series capacitor

In order to design an optimal controller for the thyristor controlled series capacitor （TCSC）, a novel TCSC control model is developed. In the model, the delay angle of thyristor valves is the input, and the inductor current is chosen as the output. Theoretical analysis and simulation studies show that TCSC is a non-linear system and its parameters vary with the operating point. In consideration of the special characteristics of the TCSC, an improved model algorithmic control （1MAC） scheme is proposed to control TCSC effectively. The good performance can be observed from simulation results when IMAC is applied to a series compensated radial system.     

An educational software package for Thyristor Switched Reactive Power Compensators using Matlab/Simulink

In this paper, an educational software package called TSCOM (Thyristor Switched Reactive Power Compensators) has been developed. The TSCOM software package contains simulation models of Thyristor Switched Capacitor (TSC) and Thyristor Switched Reactor (TSR)-based Static VAr Compensator (SVC) which are two of the shunt Flexible AC Transmission Systems (FACTS) devices. The design and simulations of TSC and TSR-based SVC are proposed using the Matlab/Simulink 7.04® and SimPowerSystems. The TSC and TSR-based SVC devices are demonstrated at two bus, three bus, infinite-bus, single-phase, three-phase, static load, dynamic load and stair-case load conditions. The effects of TSC and TSR-based SVC devices on load voltage are also analyzed. Student feedback indicates that this package is user-friendly and considerably effective for students and researchers to study theory of switched compensators, the reactive power control and voltage regulation. The proposed package will help to design the practical prototypes for students and researchers.