基于Qt和MATLAB混合编程的冷热电联供运行监控与能量管理系统研发

发布时间：2018-02-27 05:24

本文关键词： 冷热电联供监控系统能量优化 OPC MySQL　出处：《山东大学》2017年硕士论文　论文类型：学位论文

【摘要】：以生物质气为一次能源的冷热电联供系统被公认为未来科学用能的最佳方式之一,世界各国对这种高效的用能方式展开了如火如荼的研究工作。本文以冷热电联供系统为研究对象,旨在开发一套专用于冷热电联供系统,具有自主知识产权的运行监控及能量管理系统。推进冷热电联供数据处理技术与能量优化策略在实际系统中的应用技术。本文通过对各种实现方案的详细论述比较,最终形成以OPC技术为基础,C++为开发语言,在Qt Creator编程环境中,结合MySQL数据库实现冷热电联供的数据处理。以冷热电联供系统为研究对象设计了系统能量优化策略——遗传算法,实现冷热电联供系统经济、能源、环境多目标优化。该遗传算法在MATLAB中编程实现,在Qt Creator调用由MATLAB设计完成的遗传算法,实现能量优化策略的运行。通过Qt Creator与MATLAB混合编程实现联供系统运行过程中能量优化策略的调度。开发完成后的冷热电联供运行监控与能量管理系统不依托任何其他软件开发平台运行,具有自主知识产权。冷热电联供运行监控与能量管理系统所有功能均通过设计的软件测试用例。在TRNSYS研究环境中模拟冷热电联供系统,调用MATLAB中的能量优化策略,验证在不同季节,不同负荷组合条件下,能量优化策略在冷热电联供系统中的调度结果。由于能量优化策略在MATLAB中实现,因此,调整具有相同数据接口的其他能量优化算法变得极为简单,无需修改源代码即可实现。所开发的冷热电联供运行监控与能量管理系统区别于以往依靠组态软件开发监控系统的方式,本文提供一种在冷热电联供领域更底层开发监控系统手段,同时将一直处于仿真阶段研究的能量优化策略运行在混合仿真系统中。因此,本课题的研究成果有助于冷热电联供系统在运行监控与能量管理方向上的进一步研究。
[Abstract]:The CCHP system, which uses biomass gas as a primary energy source, is recognized as one of the best ways to use energy in the future. Many countries all over the world have carried out a lot of research on this efficient energy use mode. In this paper, the research object of this paper is the combined cooling and heat supply system, which is designed to develop a set of special cooling and heat combined power supply system. The operation monitoring and energy management system with independent intellectual property rights, and the application technology of data processing technology and energy optimization strategy in practical system. Finally, based on OPC technology and C as development language, in QT Creator programming environment, combined with MySQL database, the data processing of cogeneration of cooling and heat is realized. A system energy optimization strategy, genetic algorithm, is designed based on the system of cogeneration and supply of cold and heat. The genetic algorithm is programmed in MATLAB, and the genetic algorithm designed by MATLAB is called in QT Creator. To realize the operation of the energy optimization strategy. To realize the scheduling of the energy optimization strategy in the running process of the combined power supply system through QT Creator and MATLAB hybrid programming. The monitoring and energy management system of the combined cooling and heat supply system does not rely on any other means after the development of the system. Other software development platforms run, It has its own intellectual property right. All the functions of the system are tested by software test cases designed. In the TRNSYS research environment, the system is simulated, and the energy optimization strategy in MATLAB is called. To verify the scheduling results of the energy optimization strategy in the combined cooling and heat supply system under different seasons and different load combinations. Because the energy optimization strategy is implemented in MATLAB, therefore, Tuning other energy optimization algorithms with the same data interface becomes extremely simple, It can be realized without modifying the source code. The developed monitoring and energy management system is different from the way in which the configuration software was used to develop the monitoring system. This paper provides a method to develop the monitoring system at the lower level in the field of combined cooling and heat supply. Meanwhile, the energy optimization strategy, which has been studied in the simulation stage, is run in the hybrid simulation system. The research results of this paper are helpful to further research on operation monitoring and energy management of CCHP.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM61;TU83;TP277;TP315

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