基于联合编程的火电厂厂级AGC系统设计与实现

针对火电厂厂级自动发电控制(Automatic Generation Control,AGC)系统的软件编程,文章提出了一种基于coldfire编译器的C语言与Composer组态语言联合编程方案,解决了分布式控制系统(distributed control systems,DCS)组态语言对复杂算法的局限性,在DCS上实现了厂级AGC的负荷优化分配和机组性能计算等复杂运算,并开发了DCS下的厂级AGC系统。该方法简洁有效,也可用于其它具有复杂运算的控制系统。     

火电厂厂级监控信息系统的设计与应用

在分析我国电力信息化发展对厂级监控信息系统（SIS）的实际需求的基础上,具体论述了SIS的系统架构以及厂级监控系统（SIS）与管理信息系统（MIS）的连接方式,指出SIS和MIS应采用独立的网络进行连接以提高安全性和可靠性。同时还讨论了SIS中各项具体功能。分析了国内的SIS发展现状,为电厂开展SIS建设提出了建议。     

火力发电厂厂用电系统运行方式与改造实施方案

通过对发电厂无功损耗的理论分析和计算,阐述如何提高发电厂厂用电系统运行方式,并提出改连实施方案.     

火电厂厂级信息监控系统的应用与设计

介绍了厂级信息监控系统（SIS）在全厂信息系统中的作用与功能,阐述了SIS系统的设计思想,着重从系统配置、软件平台和应用软件三个方面提出了SIS系统的实施方法,结合实例给出了一个SIS系统的设计方案,并介绍了其中主要应用软件模块的功能。     

火电厂外围设备系统集中监控改造的研究

对火力发电厂的外围设备系统由就地控制改造为集中控制进行研究，分析外围设备控制进行这种改造的可行性和必要性，并介绍了日照电厂外围设备系统进行集中监控改造的硬件配置、实施过程中的经验和体会。     

龙门滩梯级水电站微机监控系统改造

介绍龙门滩梯级电站主要辅助设备、自动化元件改造及微机监控系统的选型、结构、配置、控制方式和功能等.     

火电厂化水控制系统改造分析

介绍了福州电厂一期化水控制系统的改造情况,讨论了该系统的改造范围、功能及实现方案,重点介绍了新系统的功能及其结构组成.     

水电站自动化系统技术改造设计

为了提高六甲水电站的自动化运行水平,对电站的控制系统进行了技术改造。介绍了六甲水电站自动化系统改造应用经验和体会、系统技术特点、运行情况和效益。     

颜控的手机改造计划

作为一个“颜控”,小编第一时间拿到新手机,更多的精力并非投入到研究它的功能有多丰富（毕竟这可以在后面的日子中慢慢磨合）,而是先要弄清楚,怎样给它换一张脸!哪怕就是通过手机系统本身的功能把壁纸、界面显示或者字体大小稍作修改也觉得心里舒坦。     

火电厂AGC的试验与分析

通过对某公司两台2×300MW机组进行的自动发电控制(AGC)试验及运行投运过程,介绍有关火电厂AGC的组成特点、控制要求、逻辑设计和试验过程,并对试验的结果进行分析,提出调度中心EMS指令的合理分配意见.     

电厂热工保护系统改造方案

介绍基于PLC的热工保护系统的优势,提出具体改造方案.     

太阳能热发电蓄热系统的混杂建模与仿真

蓄热系统是太阳能热发电站中保证电站可靠性和经济性的重要组成部分,其工作状况直接影响到太阳能热发电站的正常运行。本文针对单罐式蓄热系统,分析了系统在蓄热和放热模式下的动态数学模型,在此基础上,提出了蓄热系统的混杂动态系统模型。该模型将蓄热和放热模式统一在一个框架下,能够对蓄热系统的各种操作模式及其循环交替过程进行动态模拟。混杂模型采用MATLAB软件进行仿真,仿真结果:表明了模型的有效性。     

网络监控信息系统及自动化控制在火电厂的应用简

随着科技发展,电子技术和信息技术日新月异,火电厂在自动化技术的应用方面也取得了快速发展。因此,要对几十道工序上百个子系统进行控制,采用先进的科技手段提高火电厂自动化水平就成为必然,尤其是在电力企业市场化进程不断加速的形势下,只有通过先进的技术,良好的基础条件,才能进一步实现生产过程的自动化和管理水平的现代化,提高企业在市场中的竞争力。可以说,这是火电厂生存和发展的必由之路。     

参数运算回路在火电厂炉膛压力调节系统中的应用

在研究国内外火电厂自动化技术发展的基础上,分析了我国火电厂锅炉炉膛压力调节系统的现状,提出了参数运算回路的开发思想,并结合工程应用经验,描绘了其在火电厂控制系统中的应用前景。     

火电厂控制系统发展探究

DCS是火力发电厂的控制核心部分，直接体现机组的自动化水平的高低，关系机组是否安全、经济运行。本文分析PLC、DCS、FCS的各自的技术经济特点，分析它们各自功能的扩展和技术的发展趋势；分析整合PLC、DCS、FCS组成一个配置更加优化，覆盖监控、管理、决策功能的，彻底分散化、网络化的高水平现代控制系统的发展前景，并探讨FCS在百万机组中的应用前景。     

Sensor fault detection and isolation in a thermal power plant steam separator

A fault detection and isolation approach, specially designed for steam separators in thermal power plants, is presented in the paper. The first step of the proposed algorithm is to identify the process. Because of the presence of sporadic high-intensity measurement noise (outliers), the paper proposes a robust version of recursive identification. Starting from the parameter vector of the identified model, the second step of the proposed procedure has the form of a data-driven fault detector. This particular fault detection and isolation approach was implemented at TEKOB1 Kostolac Thermal Power Plant in Serbia, whose nominal power output is 330 MW.     

Dynamic behaviour of material states in steam power plant control

The enormous price increase in petroleum and the limited reserves of other fossil fuels have resulted in the increased use of nuclear power plants for the basic load of electricity supply. Consequently, conventional steam power plants have been used to meet the variable and peak loads in electricity generation. The control of fast and large load changes is becoming more and more important for conventional power plant operations. An economical control of the nonstationary operation (start-up, shut-down and large load changes) is possible only by approaching and maintaining the maximum allowable values of the material state variables (temperature θ, strain ? and stress σ) at the critical points of the power plant components. To achieve this primary control goal, the dynamic behaviour of material states must be well understood. A direct measurement of the changes in material states especially due to thermal stresses, caused by temperature gradients, is not possible. The material states can be calculated, however, by means of mathematical models describing the nonstationary temperature distribution. The working fluid temperature, pressure and mass flow rate are the input variables for these mathematical models. This paper presents a linear mathematical model for the investigation of the dynamic behaviour of material states. Another mathematical model is also developed for calculating the thermal stresses for large temperature and load changes. Thus, the steam generator models so far describing only the states of the working fluid can be extended to the material states. The basic idea is demonstrated for an insulated thick wall tube containing a working fluid. The simulation of the mathematical models is performed.     

DEDS双子模型的等价变换及其应用

提出了ＤＥＤＳ双子模型的等价变换与等价系统,给出了其定义,研究了其主要特性和计算方法,探讨了其在ＤＥＤＳ双子模型的简化、规范化及性能分析方面的应用,文中还给出了等价变换在建模、传函矩阵计算和有关定理证明方面应用的实例。     

Performance assessment of thermal power plant load control system based on covariance index

This paper proposes a novel method of performance assessment for load control system of thermal power unit. Load control system is the most important multivariable control system. It is necessary to monitor and evaluate the performance of it. The performance evaluation index system based on covariance is defined, and the performance evaluation rules are given. In MATLAB, the double input and double output object model of the load control system is established, and the dynamic characteristics of the load control system are analyzed under the BF and TF mode. The simulation data, which is based on the parameters retuning, is used as the “benchmark data”, and the simulation data of different controllers are collected as “monitoring data”. For most of the time, the thermal power plant is under the coordinated control mode, and the principle and strategy of the two coordinated control are analyzed, and the engineering realization scheme is given. Operation data in different time periods of two different thermal power plants was acquisition and preprocessing respectively. The principle of selecting “benchmark data” is the minimum of pressure parameter. Two data segments were selected as “benchmark data”, performance assessment and analysis was carried on the data from other time periods. The results show that the validity and reliability of the method based on the evaluation index. In short, the data of the simulation and the load control system of power plant are used to demonstrate the effectiveness of the method.     

An intelligent coordinator design for GCSC and AGC in a two-area hybrid power system

This study addresses the design procedure of an optimized fuzzy fine-tuning (OFFT) approach as an intelligent coordinator for gate controlled series capacitors (GCSC) and automatic generation control (AGC) in hybrid multi-area power system. To do so, a detailed mathematical formulation for the participation of GCSC in tie-line power flow exchange is presented. The proposed OFFT approach is intended for valid adjustment of proportional–integral controller gains in GCSC structure and integral gain of secondary control loop in the AGC structure. Unlike the conventional classic controllers with constant gains that are generally designed for fixed operating conditions, the outlined approach demonstrates robust performance in load disturbances with adapting the gains of classic controllers. The parameters are adjusted in an online manner via the fuzzy logic method in which the sine cosine algorithm subjoined to optimize the fuzzy logic. To prove the scalability of the proposed approach, the design has also been implemented on a hybrid interconnected two-area power system with nonlinearity effect of governor dead band and generation rate constraint. Success of the proposed OFFT approach is established in three scenarios by comparing the dynamic performance of concerned power system with several optimization algorithms including artificial bee colony algorithm, genetic algorithm, improved particle swarm optimization algorithm, ant colony optimization algorithm and sine cosine algorithm.