火电厂热工控制系统的优化整定及其应用

介绍了多功能控制系统优化整定装置的原理及其在火力发电厂热工控制系统中的应用。该装置实为一综合仪表,集采集、辨识、仿真和控制器参数优化整定为一体,可有效解决火电厂控制系统优化整定这一实际问题。大量的现场应用结果表明,该优化整定装置实用、有效。     

火电厂热工控制系统优化整定及其应用

介绍了多功能控制系统优化整定装置的原理及其在火力发电厂热工控制系统中的应用。该装置是集采集、辨识、仿真和控制器参数优化整定为一体的综合仪表,它有效地解决了火力发电厂控制系统优化整定这一实际问题,大量的现场实际应用结果表明了其实用性和有效性。     

基于遗传算法的偏磁式消弧线圈控制系统PID参数优化整定

通过对偏磁式消弧线圈控制机理的分析,建立了偏磁式消弧线圈控制系统的数学模型。对于PID参数整定,首先应用齐格勒–尼克尔斯经验法则进行初步整定,再应用遗传算法进行优化整定。仿真结果表明,遗传算法用于偏磁式消弧线圈控制系统PID参数优化整定具有良好的效果。     

杨志远教授主研的多功能控制系统优化整定装置通过部级鉴定

由我校杨志远教授主持研制的多功能控制系统优化整定装置顺利通过了电力工业部科技司主持的科技成果鉴定。这种控制系统优化整定装置主要由信号匹配组件、数据采集组件以及功能强大的操作软件等三部分组成。该装置集数据采集、模型辨识、系统仿真及控制系统优化整定等功能于一体，首次采用曲线拟合法和基于综合目标函数的优化方法进行工业过程的参数辨识和控制系统的优化整定，创造性地解决了多回路一次整定的问题，为工程技术人员进行系统设计、仿真计算、控制器整定及工程试验提供了有效手段，适用于电力、石油、化工、冶金、机械等工业控…     

工业控制系统的优化整定及其在火电厂中的应用

大坝发电厂在热控系统中应用了多功能控制系统经整定装置。     

单元机组协调控制系统的优化整定

<正>本文首先讨论参数优化方法在单变量系统参数整定中的应用,接着又将这种方法应用于单元机组协调控制系统的参数整定。文中,用单纯形优化算法,分别对多种类型的协调控制方案进行参数整定,并对整定结果进行了仿真试验。文章最后还将参数优化整定的结果与多变量频域法整定的结果作了仿真比较。     

减温减压调节装置在电厂的应用分析及功能探讨

介绍了减温减压装置系统的构成、智能调节仪原理及参数的整定方法,控制系统故障分析与排除,有效地解决了系统的优化问题和提高了系统的调节精度.     

自动化过程控制对PID控制方法的应用及其参数整定策略

在自动化过程控制中,设定值控制SPC、DDZ-S系列智能仪表、DCS或者PLC控制系统,多多少少均存在PID过程控制。尽管现代很多企业生产装置自控系统配置较佳,但它的控制回路自控投用率却较低,这主要和控制系统的参数整定工作有关。做好参数整定,有利于提升控制回路的自控投用率,确保生产的安全性,进一步提升产品产量与质量。鉴于此,主要探讨自动化过程控制对PID控制方法的应用及其参数整定策略。     

基于OS-ELM与模糊PID的自适应打磨头控制系统

针对风电叶片自适应打磨装置需求，提出了一种基于OS-ELM的模糊PID控制的自适应恒力打磨装置，通过结合OS-ELM来更快速的整定模糊PID控制器的控制参数输入，然后通过模糊规则得到合适KP、KI、KD输入初值，实现在线整定PID控制参数。通过MATLAB\\Simulink仿真软件对打磨头控制系统的仿真模型进行控制系统验证优化，最后通过装置样机实验，对系统控制效率，稳定性，打磨效果进行检测。实验得出该装置能够满足风电叶片进行恒力亮面打磨，打磨效率显著提高，打磨后产品粗糙度10~12 μm之间，满足企业打磨后叶片粗糙度要求。     

SHXWA安全自动装置在福建电网中的应用

ＳＨＸＷＡ安全自动装置是针对水口水电厂在福建电网中的位置以及电网结构特殊情况专门制造的一套全微机控制系统。它用来解决电网运行中的稳定、低频、低电压和设备过负荷等问题。控制系统定值整定的合理性是装置投运后能否获得满意效果的重要环节。本文简要介绍装置的主要功能和定值整定原则。     

Fuzzy controller tuning of a boost rectifier unity power factor correction by experimental designs

This paper shows the validity of experimental designs as an efficient on-site tuning tool for fuzzy controllers, dedicated to electrical engineering applications with multi-objective criteria. Our purpose is to improve the input and output system characteristics that is to say the global quality of the electrical power in a boost rectifier with unity power factor correction. The desirability notion here combines the time dynamic and harmonic criteria and illustrates the trade-off that has to be satisfied between different properties.     

Optimal tuning of linear controllers for power electronics/power systems applications

This paper presents a new method for tuning various linear controllers such as Proportional-Integral (PI), Proportional-Integral-Derivative (PID) and Proportional-Resonant (PR) structures which are frequently used in power electronics and power system applications. The linear controllers maintain a general structure defined by the Internal Model Principle (IMP) of control theory. The proposed method in this paper is twofold. The first perspective uses the well-known concept of the Linear Quadratic Regulator (LQR) to address the problem as a regulation problem. The Q matrix of the LQR design is then finely adjusted in order to assure the desired transient response for the system. The second perspective redefines the LQR in order to add capability to address the optimal tracking problem and is then generalized to systems with more than two states. These methods are then applied to two specific examples, one in an uninterruptible power supply (UPS) inverter system and the other one in a distributed generation (DG) system. In these examples, the tuning of PR and PI controllers is studied in great detail. These proposed design methods provide an easy and algorithmic procedure without jeopardizing stability or robustness. These tuning methods can also be utilized for linear state-space realization of any power converters. Both examples are supported via simulation and the results, which confirm analytical derivations, are presented and discussed.     

互联电力系统模糊负荷频率控制器的优化设计

通过建立一个改进了的带修正因子的模糊（ｆｕｚｚｙ）控制表的数学表达式和一个综合性能指标，提出了一种互联电力系统分散Ｆｕｚｚｙ负荷频率控制器的自动优化设计方法。对一个两区域互联电力系统的数字仿真结果表明：所设计的分散Ｆｕｚｚｙ负荷频率控制器具有良好的控制性能。     

分散模糊负荷频率控制器的优化设计

本文针对多区域互联电力系统的特点，建立了一个考虑各区域扰动影响的综合性能指标，并对比例因子采用智能调整措施，提出了一种分散模糊负荷频率控制器的优化设计方法，对一个两区域互联电力系统的数字仿真结果表明，所设计的分散模糊负荷频率控制器具有良好的控制效果和较强的鲁棒性。     

Intelligent particle swarm optimized fuzzy PID controller for AVR system

In process plants like thermal power plants, biomedical instrumentation the popular use of proportional-integral-derivative (PID) controllers can be noted. Proper tuning of such controllers is obviously a prime priority as any other alternative situation will require a high degree of industrial expertise. So in order to get the best results of PID controllers the optimal tuning of PID gains is required. This paper, thus, deals with the determination of off-line, nominal, optimal PID gains of a PID controller of an automatic voltage regulator (AVR) for nominal system parameters and step reference voltage input. Craziness based particle swarm optimization (CRPSO) and binary coded genetic algorithm (GA) are the two props used to get the optimal PID gains. CRPSO proves to be more robust than GA in performing optimal transient performance even under various nominal operating conditions. Computational time required by CRPSO is lesser than that of GA. Factors that have influenced the enhancement of global searching ability of PSO are the incorporation of systematic and intelligent velocity, position updating procedure and introduction of craziness. This modified from of PSO is termed as CRPSO. For on-line off-nominal system parameters Sugeno fuzzy logic (SFL) is applied to get on-line terminal voltage response. The work of SFL is to extrapolate intelligently and linearly, the nominal optimal gains in order to determine off-nominal optimal gains. The on-line computational burden of SFL is noticeably low. Consequently, on-line optimized transient response of incremental change in terminal voltage is obtained.     

基于计算智能的多个阻尼控制器协调设计

对电力系统中多个FACTS阻尼控制器之间以及与电力系统稳定器之间的协调设计进行研究，提出序优化和遗传算法相结合的智能计算方法解决阻尼控制器参数的鲁棒最优整定。根据矩阵的迹和其特征值的关系提出一种易于计算的近似目标函数，利用序优化方法评估对比各个解之间的优劣。遗传算法中个体的适应度由序优化方法排序确定，并给出线性排序选择算子，可以大大加速评估和选择的过程，减少计算量，提高效率。给出了基于智能计算方法协调设计多个阻尼控制器的流程．对新英格兰系统的仿真结果验证了设计方法的有效性．     

Neuro-fuzzy controller for gas turbine in biomass-based electric power plant

Biomass gasification is a technology that transforms solid biomass into syngas. The gas turbine controller regulates both the gas turbine and the gas turbine generator. Two fuzzy logic controllers have been developed using speed and mechanical power deviations, and a neural network has been designed to tune the gains of the fuzzy logic controllers based on the operating conditions of the biomass-based electric power plant. It is shown that by tuning the fuzzy logic controllers, optimal time domain performance of the system can be achieved in a wide range of operating conditions compared to fixed parameter fuzzy logic controllers and PID controllers.     

Practical aspects of self‐tuning controllers

The contribution presents a class of Single Input Single Output (SISO) discrete self‐tuning controllers suitable for industrial applications. The proposed adaptive controllers can be divided into three groups. The first group covers PID adaptive algorithms with using of traditional methods. The second group is based on polynomial solutions of control problems and the third group is derived from the use of the minimization of linear quadratic criterion. All types of algorithms were unified and incorporated into a Matlab ‐ like Toolbox for self‐tuning control. Copyright © 1999 John Wiley & Sons, Ltd.     

利用含储能装置的STATCOM阻尼电力系统多模态振荡

研究了多机系统中使用储能装置与静止无功发生器(STATCOM)的集成抑制电力系统多模态振荡的可行性。推导了集成电池储能系统(BESS)的STATCOM的非线性动态模型和线性化Phillips-Heffron模型。利用STATC0M/BESS能够和系统自由交换有功功率和无功功率的特点,在每个控制回路上设计附加阻尼控制器阻尼多模态振荡。基于可控性指标确定STATCOM/BESS的安装地点并为各模态选择控制回路,使用人工鱼群算法进行多个阻尼控制器间的协调优化。仿真结果表明,单个STATCOM/BESS能够成功实现电力系统多模态振荡的抑制;阻尼效果受容量限制的影响,容量大时阻尼效果好。     

A software package for modeling power systems of arbitrary configurations

This paper presents a software package for mathematical modeling of power systems of any configuration for power system model tests in the normal and emergency modes, including tests of control algorithms for the whole power system and its individual elements. One of the specific tasks of this package is automation of gas-turbine tests, including automatic pretesting and tuning of automatic control systems (ACSs) for gas turbines in all operating modes of power plants (independently, in parallel, and with a powerful network). The paper describes the architecture of the developed software package and its optimization module as a platform for various tasks: automatic ACS tuning, selection of the optimal arrangement and types of generating units, load distribution in a power system, optimization of electric-power quality, tuning of automatic- and relay-protection systems, etc.