具有FACTS设备的输电网络规划

利用改进的遗传算法ＭＡＧＡ进行具有ＦＡＣＴＳ设备的输电网络规划,算例系统的结果表明ＭＡＧＡ适用于解决具有ＦＡＣＴＳ设备的电网规划问题,而且在电网的扩建和改造方面。ＦＡＣＴＳ技术将带来很大的经济效益。     

FACTS 稳定控制策略综述

简单介绍了ＦＡＣＴＳ的概念、新进展及其作用总结了ＦＡＣＴＳ稳定控制器的模型,同时详细介绍了目前ＦＡＣＴＳ控制器的各种稳定控制策略及其效果,提出对单个ＦＡＣＴＳ控制器而言诺于微分几何控制及鲁棒控制的控制策略应是较好的稳定控制策略;多个ＦＡＣＴＳ控制器的协调控制及单个ＦＡＣＴＳ控制器的多目标协调控制是今后ＦＡＣＴＳ控制设计的主要目标。     

具有FACTS设备的多目标电网计划

提出了具有灵活交流输电（ＦＡＣＴＳ）设备的多目标妥协规划模型,综合考虑了ＦＡＣＴＳ设备对电网规划的经济性和可靠性两方面的影响,并采用混合遗传－模拟退火算法求解了该模型。算例结果表明ＦＡＣＴＳ设备能够提高电网规划的经济性及经济性与可靠性的综合水平,并证明了多目标电网规划妥协模型及其解其方法的有效性。     

具有串联电压源的FACTS暂态稳定数字仿真

本文提出一种用动态数字仿真研究柔性交流输电系统（ＦＡＣＴＳ）稳定性的模型。为了适应ＦＡＣＴＳ设备对电力系统暂态过程的快速作用，本文采用微分方程与代数方程联立求解法求解。算例系统的计算结果表明，所提出的模型和算法是正确而有效的，为研究ＦＡＣＴＳ的暂态稳定性和控制作用提供了有效工具。     

FACTS技术的应用与展望

简明地介绍了ＦＡＣＴＳ的基本概述概念。阐明了ＦＡＣＴＳ产生的时代背景和技术支柱。收集并叙述了目前国际上已经认为较成功的几种为ＦＡＣＴＳ技术应用的大功率电力电子控制装置的原理。以及提出自己对ＦＡＣＴＳ前景的乐观预测。     

统一潮流控制器：FACTS装置的最新发展

本文简要介绍了ＵＰＦＣ的是而分析其对潮流的控制作用和对暂态稳定的控制作用,并与其它的ＦＡＣＴＳ装置的性能进行了比较,结果说明ＵＰＦＣ是最为理想的ＦＡＣＴＳ装置。     

FACTS装置用于电力系统稳定控制的综述

从电力系统稳定控制出发,分析了ＦＡＣＴＳ控制器的特点,根据控制器设计过程对电力系统信息提取和综合途径的不同,将ＦＡＣＴＳ装置的稳定控制策略分为基于系统内部结构,基于系统外部特征及综合智能控制三种方式,并概述了各种控制策略研究中所应用的稳定控制手段以及发展方向。     

电力系统新型设备的一种用户自定义建模方法

本文针对新型控制装置和具有特殊参数的传统设备的分析，给出了一种用户自定义建模方法。该建模方法可以用于电力电子和ＦＡＣＴＳ装置在电力系统中应用的分析。     

浅谈柔性交流输电（FACTS）的发展及应用

介绍了ＦＡＣＴＳ技术的发展概况，分析了ＦＡＣＴＳ技术迅速发展的原因，论述了ＦＡＣＴＳＲ作用，意义及其控制器的种类和界定，最后对ＦＡＣＴＳＴ控制器的应用研究提出了建议。     

750 kV输电系统FACTS研究

发展７５０ ｋＶ电压等级输电线路和采用ＦＡＣＴＳ技术是加快西北能源开发,实施西电东送的重要措施。柔性交流输电系统（ＦＡＣＴＳ）,它综合了电力电子技术、微处理和微电子技术、通讯技术和控制技术而形成的用于控制交流输电的新技术,它代表了输电技术的发展方向,采用ＦＡＣＴＳ技术可以增加输电线路的传输功率,提高输电线路的可靠性。     

Intelligent optimal sieving method for FACTS device control in multi-machine systems

A multi-target oriented optimal control strategy for FACTS devices installed in multi-machine power systems is presented in this paper, which is named the intelligent optimal sieving control (IOSC) method. This new method divides the FACTS device output region into several parts and selects one typical value from each part, which is called output candidate. Then, an intelligent optimal sieve is constructed, which predicts the impacts of each output candidate on a power system and sieves out an optimal output from all of the candidates. The artificial neural network technologies and fuzzy methods are applied to build the intelligent sieve. Finally, the real control signal of FACTS devices is calculated according to the selected optimal output through inverse system method. Simulation has been done on a three-machine power system and the results show that the proposed IOSC controller can effectively attenuate system oscillations and enhance the power system transient stability.     

Grasshopper optimization algorithm optimized multistage controller for automatic generation control of a power system with FACTS devices

This paper uses a Grasshopper Optimization Algorithm (GOA) optimized PDF plus (1+ PI) controller for Automatic generation control (AGC) of a power system with Flexible AC Transmission system (FACTS) devices. Three differently rated reheat turbine operated thermal units with appropriate generation rate constraint (GRC) are considered along with different FACTS devices. A new multistage controller design structure of a PDF plus (1 + PI) is introduced in the FACTS empowered power system for AGC while the controller gains are tuned by the GOA. The superiority of the proposed algorithm over the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms is demonstrated. The dynamic responses of GOA optimized PDF plus (1+ PI) are compared with PIDF, PID and PI controllers on the same system. It is demonstrated that GOA optimized PDF plus (1+ PI) controller provides optimum responses in terms of settling time and peak deviations compared to other controllers. In addition, a GOA-tuned PDF plus (1 + PI) controller with Interline Power Flow Controller (IPFC) exhibits optimal results compared to other FACTS devices. The sturdiness of the projected controller is validated using sensitivity analysis with numerous load patterns and a wide variation of parameterization. To further validate the real-time feasibility of the proposed method, experiments using OPAL-RT OP5700 RCP/HIL and FPGA based real-time simulations are carried out.     

乘数型主蒸汽温度预测函数控制研究及应用

提出了一种乘数型预测函数控制方法,针对一阶加纯迟延对象,当采用阶跃函数时,可以得出预测函数最优控制律,该控制律中预测时域优化长度为指数系数。提出采用乘数系数的方法去计算最优控制律,将乘数系数称为预测调整系数,将修正后的被控对象输出简化为实际被控对象输出,获得乘数型预测函数控制最优控制律。对于主蒸汽温度控制系统来说,具有导前区和惰性区,常规的做法是进行串级控制,将主控制器改为乘数型预测函数控制器,同时提出一种减温水调节阀线性校正方法,工程实践证明文章所提出的方法简单有效,具有很强的推广应用价值。     

Hybrid linearization of a power system with FACTS devices for a small signal stability study: Concept and application

This paper deals with a hybrid linearization method of a power system with flexible AC transmission system (FACTS) devices. The linearized power system model provides useful information, which is necessary for the small signal stability study and the controller design. Although the algebraic linearization method provides an accurate and parameterized linear system, it may incur computation burdens for the large power system especially with multiple FACTS devices. The numerical identification of linearized system by utilizing input–output numerical data is highly versatile. However, quite amount of valuable information may be not fully utilized. In this paper, a hybrid method in which the algebraic and the numerical linearization technique are combined is presented. While both the power system and the FACTS devices are separately linearized by using algebraic method, the interaction terms between the power system and FACTS devices are numerically identified by adopting the quadratic optimization technique. The proposed hybrid linearization technique is tested on the WSCC system in which one thyristor-controlled series capacitor is installed. Both eigenvalue analysis and time-domain simulation results verify that the proposed method can effectively identify the linearized model of the power system with FACTS devices.     

三相STATCOM的电流控制与谐波消除技术

STATCOM是柔性交流输电系统中重要的电力电子装置 .本文对STATCOM在电力系统中应用的相关问题作了一些探讨 ,在介绍了STATCOM工作原理之后 ,进一步分析了电流控制方法 .为了在不增加额外设备的前提下消除STATCOM自身的谐波 ,还介绍了主电路的多重化技术及曲折变压器联接方式 .最后为了验证所述控制方法的可行性 ,给出了仿真试验结果     

A non-dominated Sorting Hybrid Cuckoo Search Algorithm for multi-objective optimization in the presence of FACTS devices

In this paper, a proposed Non-dominated Sorting Hybrid Cuckoo Search Algorithm (NSHCSA) for multi objective optimal power flow problem with FACTS devices namely Thyristor Controlled Series Compensator (TCSC) and Static Synchronous Series Compensator (SSSC) with different objective functions including the installation cost of FACTS devices are presented. The practical and operating constraints are considered for this analysis. The location of the FACTS device is selected to enhance the system security with respect to minimizing line overloads and bus voltage violations. The proposed Hybrid Cuckoo Search Algorithm (HCSA) is the combination of Cuckoo Search Algorithm (CSA) and Genetic Algorithm (GA). For multi objectives selected Pareto front is obtained by using the fuzzy decision making tool. The effectiveness of the proposed method is tested on standard IEEE-30 bus test system in the presence of the TCSC and SSSC. The results are analyzed and compared with existing methods.     

A reconfigurable FACTS system for university laboratories

To fully understand the dynamic performance of the multiple flexible ac transmission systems (FACTS) devices, a hardware setup is needed to complement software simulation for university research laboratories. This paper presents the schematic and basic controls of a reconfigurable FACTS system that can be used to realize the major voltage-sourced-converter FACTS topologies: the StatCom, the static synchronous series compensator (SSSC), and the unified power-flow controller (UPFC). Furthermore, the state models and control algorithms for the FACTS devices are proposed. The digital signal processor (DSP)-based control system enables new control methods to be rapidly implemented. The comparison of the experimental and simulation results is also provided to verify the proposed controls. The paper culminates in a list of suggested experiments appropriate for an elective/graduate course in electric power systems.     

Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules

Because of system constraints caused by the external environment and grid faults, the conventional maximum power point tracking (MPPT) and inverter control methods of a PV power generation system cannot achieve optimal power output. They can also lead to misjudgments and poor dynamic performance. To address these issues, this paper proposes a new MPPT method of PV modules based on model predictive control (MPC) and a finite control set model predictive current control (FCS-MPCC) of an inverter. Using the identification model of PV arrays, the module-based MPC controller is designed, and maximum output power is achieved by coordinating the optimal combination of spectral wavelength and module temperature. An FCS-MPCC algorithm is then designed to predict the inverter current under different voltage vectors, the optimal voltage vector is selected according to the optimal value function, and the corresponding optimal switching state is applied to power semiconductor devices of the inverter. The MPPT performance of the MPC controller and the responses of the inverter under different constraints are verified, and the steady-state and dynamic control effects of the inverter using FCS-MPCC are compared with the traditional feedforward decoupling PI control in Matlab/Simulink. The results show that MPC has better tracking performance under constraints, and the system has faster and more accurate dynamic response and flexibility than conventional PI control.     

Power flow control approach to power systems with embedded FACTS devices

This paper focuses on developing an approach to steady-state power flow control of flexible AC transmission systems (FACTS) device-equipped power systems. Based on a power-injection model of FACTS devices and an optimal power flow model, a novel versatile power flow control approach is formulated, which is capable of implementing power flow control incorporating any FACTS device flexibly. Different from existing FACTS device control approaches, the active and (or) reactive power injections are taken as independent control variables. Therefore, using this method, Jacobian matrix need not be changed, although various FACTS devices possess different physical models and different control parameters. Furthermore, it enables the integration of FACTS devices into the existing power system analysis and control programs efficiently. Physical limits of the FACTS devices are also considered in the model. Numerical results on a reduced practical system and a 1500-bus practical system with various FACTS devices are presented to illustrate the vigorousness of the proposed approach.     

基于模糊PID阻抗控制的TCSC研究

设计了可控串联电容补偿装置(TCSC)的模糊自适应整定PID阻抗控制器,克服了传统PID控制的不足,具有较强的鲁棒性,使控制质量提高。结合逆系统方法和二次型最优控制理论,设计了双机系统的TCSC非线性最优稳定控制器。根据TCSC非线性最优控制器在线计算的容抗值作为命令容抗,通过模糊PID控制器使TCSC实现该命令容抗。仿真结果表明所设计的控制器有效地阻尼系统振荡,提高了系统的稳定性。