火电厂异构网络系统集成问题探讨

通过对目前火电厂生产过程的自动控制网络以及火电厂生产管理计算机网络的描述 ,对火电厂现有各种异构计算机管控网络的系统集成进行了初步的探讨     

火电厂安全应急管理机制优化分析

火电厂所采用的流程化生产过程中,在电力生产过程中对于人和设备以及环境的管理具有极高的要求,因为这些因素会直接影响火电厂的安全生产以及安全应急管理能力。火电厂的应急管理能力是火电厂能否高效处理突发安全事件的重要因素,也是火电厂安全高效生产的重要保障。文章将从安全应急管理机制的角度对火电厂的安全应急管理问题进行分析研究。     

基于多变量统计技术故障诊断方法的研究

为了更好地监视锅炉机组的重要运行参数,研究了基于主元分析方法的火电厂生产过程故障诊断.以火电厂的汽温控制系统为例阐述了该方法的检测诊断过程,仿真结果表明了该方法的有效性;同时也说明基于多变量统计技术的故障诊断方法可以有效地监控单元制机组的生产过程,对电厂的安全与经济运行有着重大意义.     

火电厂化学专业节能降耗方法探讨

对火电厂生产过程中化学相关专业节约成本和降低排放的必要性和可行性进行了探讨，并总结了化学相关节能减排的方法和措施。     

DCS在火电厂中的应用

在我国的火电厂中,集散控制系统正在贡献着无法代替的力量,其强大的功能实现了火电厂从过程控制到生产管理再到经营管理的整个功能。重点论述了集散控制系统在火电厂中的应用,首先分析了该系统的特点,然后对其应用的具体过程进行了研究,最后对其存在的问题和未来的发展进行了分析。     

DCS在火电厂中的应用

在我国的火电厂中．集散控制系统正在贡献着无法代替的力量．其强大的功能实现了火电厂从过程控制到生产管理再到经营管理的整个功能,重点论述了集散控制系统在火电厂中的应用．首先分析了该系统的特点．然后对其应用的具体过程进行了研究,最后对其存在的问题和未来的发展进行了分析,     

智慧安全系统在火电厂中的应用研究

鉴于当今火电厂生产过程中日益增长的安全需求,建设火电厂智慧安全系统,应用智能化设备和信息化技术实现电厂智慧安全监控及管理,最大限度地保障全厂各系统安全可靠运行以及厂内人员安全,代表了当今火电厂生产过程安全监控与管理的发展方向。通过辨识火电厂重大危险源,分析安全监控与管理提升需求,结合需求分析结果提出智慧安全系统整体架构和应用功能,进而分析、研究和阐述智慧安全新技术在火电厂重大危险源中的应用及价值提升点,同时对保持智慧安全系统先进性提出建议。     

发电厂电动机常见故障诊断处理及预防措施

电动机是发电厂生产过程中应用最广的驱动设备,结合某火电厂设备的特点和现场实际情况,介绍了火电厂电动机运行中最常见故障的诊断、处理方法以及预防措施,确保电动机安全稳定运行.     

PLC在火电厂输煤系统中的应用

输煤系统是火电厂重要的生产环节,其控制系统的先进性、可靠性直接影响电厂的生产运行。介绍某火电厂输煤控制系统应用SIMENCE S7-200型PLC,使用组态王6.53与PLC进行通信,利用组态王动画连接功能对输煤系统的工作过程进行监控管理,优化了该厂输煤控制系统。该系统的优点是界面友好、操作方便、扩展性强、可靠性高。     

基于目标成本管理的火电厂成本控制体系

目标成本管理是火电企业成本控制的一种有效方法。根据火电厂电力生产的特点,建立了基于目标成本管理、全员参与、精细化管理、纵横对标管理和严格绩效考核的火电厂目标成本控制体系,针对影响火电厂经济效益的关键因素燃料成本,提出了完善配煤燃烧目标成本管理机构和制度的措施,可为火电厂进行目标成本管理提供保障。     

Simulating winds and floods-regional weather-river prediction andregional climate research

The authors at the University of California Lawrence Livermore National Laboratory (UC-LLNL) developed a coupled modeling system. The system simulates regional-scale weather, land-surface processes, and river flow using large-scale atmospheric data and land surface terrain information as input. This Coupled Atmosphere River Flow Simulation (CARS) system consists of the mesoscale atmospheric simulation (MAS) model coupled with a soil-plant-snow (SPS) model, our Automated Land Analysis System (ALAS) and a physically-based fully distributed surface hydrology and river flow model, TOPMODEL. The MAS model is a primitive-equation, limited-area model. It includes a third order accurate advection scheme and physical processes for: (1) precipitation and thermal forcing due to deep convective clouds and stratiform clouds; (2) solar and terrestrial radiative transfer within the atmosphere, and (3) turbulent transfer at the Earth's surface and within the atmosphere. Interactions between the atmosphere and land-surface are computed using the SPS model. It is interactively coupled to the MAS. The SPS keeps track of hydrologic variables such as water stored in the snowpack that is crucial for assessing the available water resources. The ALAS provides topographic properties, such as river networks and watershed areas, at specified resolutions, using digital elevation model data     

基于MAS的电力系统脆弱性评估与控制

本文介绍了电力系统的脆弱性问题和基于多Agent系统(MAS)的分层控制系统基本原理，在此基础上提出了对电力系统脆弱性评估和控制的MAS分层控制模型，并对MAS的结构、各Agent的功能以及Agent之间的通信进行了设计和讨论。     

基于模拟退火遗传算法和在线寿命控制技术的锅炉冷态启动优化

从寿命延长控制(LEC)的概念出发,建立了基于寿命管理的锅炉启动优化模型。应用有限元方法计算出启动过程中锅炉汽包的应力,从理论上分析了多阶段升温升压的合理性;并在多阶段离线启动优化中引入了模拟退火遗传算法;最后设计了基于MAS架构的计算模型。这一启动优化模型可用于锅炉冷态启动中的汽包应力的在线管理。     

基于多智能体的电网操作票自动生成系统

电气操作票制度是电力系统运行管理中一种防止误操作的安全有效措施。根据县级调度中心的特点,设计了一个功能完备的电网调度操作票自动生成系统,同时将多智能体理论应用于操作票自动生成系统中,建立了多智能体模型。在此模型的基础上,重点研究了多智能体与SCADA系统之间的通信机制,研究了多智能体间的协作控制策略和通信协调机制,实现了多智能体间的协作开票功能,并将其应用于某县级调度中心。实践证明了该多智能体模型的有效性和实用性。     

用于微电网MAS调度的拍卖算法

在以多代理系统(MAS)作为微电网运行支撑平台的背景下,本文依据MAS分布式控制的特点,及拍卖算法对MAS的适应性,提出了基于拍卖算法的微电网MAS调度任务分配的实现方法。在调度周期内,利用拍卖算法,综合微电网内分布式电源、储能设备及可控负荷等可控单元参与调度任务代价与收益,可以得到最优或接近最优的微电网内调度方案。最后,本文阐述了以综合成本最低为目标的智能微网日前调度原则,并依据典型的智能微网设计案例对模型进行了分析。     

An Optimal Grey PID Control System

The PID control algorithm has been widely applied in many industry control system to solve efficiently the control problems of manufacturing processes. However, PID control algorithm belong to “delay control”, because it functions on basis of the actions occurred in the system. Thus the control accuracy in real-time is limited. In this paper, in order to realize the accurate control in real-time, the grey model based on grey system theory is first proposed to combine with PID control to establish the control system. We define the proposed control system as grey PID control system. Then the cubic spline function is integrated into the grey model. to enhance the control accuracy of system. To further improve the performance, the particle swarm optimization (PSO) algorithm is employed to optimize the parameters of PID algorithm. Finally, we validated the effectiveness of the proposed control system by computer simulation. © 2009 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

A Multiagent Fuzzy-Logic-Based Energy Management of Hybrid Systems

Hybrid energy systems (HESs) for renewable energy sources are an interesting solution to power stand-alone systems. However, the energy management of such systems is quite complex when it relies on a central controller. With a central controller, the energy management system (EMS) has to be redesigned when the configuration is changed (for example, with the addition of a new device). This paper proposes a distributed EMS to control the energy flow in the HES. This distributed controller is based on multiagent-system (MAS) technology. With this concept, a HES is seen as a collection of different elements that collaborate to reach a global coordination. The agent approach for HES is explained, and a MAS is presented. Finally, a simulation model of the HES controlled by a MAS is proposed, and the system reaction is detailed.      

变电站程序化操作序列智能生成技术研究应用

变电站程序化操作是智能电网调度高级应用的关键技术之一,其操作序列的智能化自动生成技术是目前亟待研究应用的课题。提出了基于多智能系统（MAS）的变电站程序化操作自动控制序列的生成策略,介绍了MAS模型、操作序列智能生成方案及实现。     

A Multiagent-Based Dispatching Scheme for Distributed Generators for Voltage Support on Distribution Feeders

This paper illustrates how a multiagent system (MAS)-based scheme can be developed for a control/optimization problem. The prototype problem considered is the dispatching of distributed generators on a distribution feeder to provide voltage support. The popular control net protocol (CNP) for MAS has been adopted to facilitate distributed control. This paper illustrates that characterization of the optimal solution is necessary in order to develop a protocol for the MAS to implement. This paper also shows that MAS facilitates a model-free control procedure, as it can monitor the local sensitivities. Test results, based on simulations on a prototype feeder, show that the proposed MAS-based control scheme is very effective in obtaining the solution for the prototype problem. The proposed method needs fast communication among the distributed generators (DGs) in order to assure fast response during emergency conditions. Communication requirements have also been identified in this paper     

MAS控制算法在二级电压控制中的应用

介绍基于多Agent系统(multi-agent system,MAS)的控制算法,该算法采用合同网协议并通过黑板系统实现各智能体之间的通信,能够较好地解决无功电压控制的不确定性;与传统的静态二次规划模型求解相比,MAS更注重考虑控制过程,动态控制品质和效果更好.