集中供热管网监控及节能优化控制策略研究

发布时间：2018-03-11 05:14

本文选题：通用多功能　切入点：分布式预测控制　出处：《河北工业大学》2013年硕士论文　论文类型：学位论文

【摘要】：近年来，集中供热发展迅速，供热系统不断扩大，在满足热用户供热需求的同时，如何有效地控制和管理整个供热网络，使资源得到合理利用，成为供热控制系统所必须解决的问题。本文对供热管网监控系统配套的多功能数据采集器进行了设计实现，并针对供热管网的运行特点提出了一种供热管网整体控制的分布式预测控制算法，进行了稳态工况下基于邻域优化的分布式预测控制理论研究，使热网可以在整体上得到控制，合理分配资源，，实现全网的平衡供热。文章主要研究了基于GPRS的通用多功能数据采集模块的设计实现。介绍了课题研究的背景、意义及其发展状况。分别对热网工况数据采集无线传输关键技术及分布式预测控制算法进行了详细的介绍。在分析集中供热热网运行特点的基础上，设计了通用多功能数据采集模块的硬件电路和软件程序，并结合热网运行特点将分布式预测控制算法在供热领域进行了初步研究。常见的数据采集系统是为特定的功能需求而开发，每一通道上只能针对某一特定信号进行采集，通用性不强。基于这个问题，结合热网参数测量的实际需求，本课题设计了一款适用于热网换热站参数测量的数据采集器，该采集器配备有GPRS无线传输模块，具有12路通用测量量输入和4路继电器输出，在任何一个模拟量输入通道上都可以实现测量电压、电流、电阻、温度、压力等工况参数。采集任务改变时，只需重新设置采集命令。采集结果能够以曲线、表格等形式在上位机上实时显示。该采集器以较低的成本最大程度地满足热网监控中心数据采集需求。实现了对于各类热网参数的采集和设备的远程控制。不但能够满足热网工况参数监控的功能，更能轻松实现与热网监控中心的无线通讯，使热网实现远程监控无人值守。与此同时，为了实现供热系统的总体控制，在热网系统控制理论中提出了具有全局优化性能的分布式预测控制算法。算法研究中首先把热网系统分解为输入和状态都相互关联的多个子系统，每个子系统采用模型预测控制方法，子系统之间通过邻域优化策略进行协调。该算法在优化过程中能够利用邻域了系统的输出信息、状态信息，并能充分考虑邻域的性能指标，提高了系统的全局性能。以此实现对供热系统中各热力站流量的合理分配，进而实现对热用户的温度控制，达到热用户的供热要求，使热网达到“平衡供热”的效果，提高了系统的资源利用率。
[Abstract]:In recent years, with the rapid development of central heating and the continuous expansion of heating system, how to control and manage the whole heating network effectively while meeting the heating needs of heat users, so that the resources can be used reasonably, It is necessary to solve the problem of heating control system. In this paper, the design and implementation of multi-function data acquisition system for monitoring and controlling system of heating network are carried out. According to the operation characteristics of the heating network, a distributed predictive control algorithm for the overall control of the heating network is proposed. The distributed predictive control theory based on neighborhood optimization is studied under the steady state condition, so that the heat network can be controlled as a whole. Rational allocation of resources to achieve the balance of the entire network heating. This paper mainly studies the design and implementation of the universal multifunctional data acquisition module based on GPRS, and introduces the background of the research. This paper introduces the key technology of wireless transmission of data acquisition and distributed predictive control algorithm in detail. Based on the analysis of the operation characteristics of central heating and heating network, the paper introduces the key technology of wireless transmission and the distributed predictive control algorithm in detail, based on the analysis of the operation characteristics of central heating and heating network. The hardware circuit and software program of the universal multifunctional data acquisition module are designed, and the distributed predictive control algorithm is preliminarily studied in the field of heating. The common data acquisition system is developed for specific functional requirements. Each channel can only be collected for a particular signal, which is not universal. Based on this problem, combined with the actual demand of heat network parameter measurement, In this paper, a data acquisition device is designed, which is suitable for the parameter measurement of heat exchange station in heat network. The collector is equipped with GPRS wireless transmission module, which has 12 universal measurement inputs and 4 relay outputs. The parameters of voltage, current, resistance, temperature and pressure can be measured on any analogue input channel. When the acquisition task changes, the acquisition command can only be reset. The form of table is displayed on the upper computer in real time. The collector can meet the requirement of data acquisition in the monitoring center of heat network with lower cost. It realizes the collection of all kinds of heat network parameters and the remote control of the equipment. It can satisfy the monitoring function of heat network operating condition parameters. More easily to achieve wireless communication with the hot network monitoring center, so that the remote monitoring network unattended. At the same time, in order to achieve the overall control of the heating system, A distributed predictive control algorithm with global optimization performance is proposed in the heat network control theory. In the algorithm, the heat network system is first decomposed into several subsystems whose input and state are related to each other. Each subsystem adopts the model predictive control method, and the subsystems are coordinated by neighborhood optimization strategy. In the optimization process, the algorithm can make use of the output information and state information of the neighborhood system, and fully consider the performance index of the neighborhood. The overall performance of the system is improved, so as to realize the reasonable distribution of the flow rate of the heating stations in the heating system, and then to realize the temperature control of the thermal users, to meet the heating requirements of the thermal users, and to make the heat network achieve the effect of "balanced heating". The system resource utilization is improved.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU995

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