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Dynamic Simulation and Real-Time Optimization of Steam Power Plants using an Object-Oriented Language

机译:面向对象语言的蒸汽电厂动态仿真与实时优化

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Simulation and optimization play a substantial role in the design of the control system of steam power plants, in particular when innovative design and optimization efforts are undertaken. Moreover, the competitive capital utilization demands at the integrated plant level for increased economic performance, while maintaining safety and environmental regulations, present a new motivation for the simulation and optimization of power plant operations and controls. The objective of this work is to evaluate the suitability of equation-oriented modeling languages, in particular the Modelica language and libraries in the Dymola software, for the dynamic simulation, real time optimization and control of power generation systems of Alstom Power. In this presentation, the steps for the development and steady-state validation of an integrated steam cycle-boiler model are discussed, as well as the real time optimization capabilities of the model using the Functional Mockup Interface to bridge the Dymola models with the optimization functionality of MATLAB and JModelica. The suitability and accuracy of the model, as compared to reference values for the plant's steady state operation, are discussed, focusing on: (1) Evaluation of the available libraries for the components of a power plant simulator, (2) Incorporation of conventional control structures in the system model (3) Connectivity and integration of the models in dynamic optimization algorithms, and (4) Interfacing of the optimization algorithms and dynamic models with data collection, and management software. The developed power plant models are critically evaluated in terms of their: (a) performance, (b) user friendliness, (c) scalability, (d) computational efficiency, (e) adoptability to other mathematical solvers, and (f) interfacing capabilities. A vision on using such process simulation models and optimization tools for power plant controls and performance improvement will be shared in this paper and presentation.
机译:仿真和优化在蒸汽电厂控制系统的设计中起着重要作用,特别是在进行创新设计和优化工作时。此外,在综合工厂级别上具有竞争性的资本利用要求,以提高经济绩效,同时保持安全和环境法规,这为模拟和优化电厂运行和控制提供了新的动力。这项工作的目的是评估面向方程式的建模语言(尤其是Dymola软件中的Modelica语言和库)对阿尔斯通动力发电系统的动态仿真,实时优化和控制的适用性。在本演示中,讨论了集成蒸汽循环锅炉模型的开发和稳态验证的步骤,以及使用功能样机界面将Dymola模型与优化功能联系起来的模型的实时优化功能。 MATLAB和JModelica的介绍。讨论了模型的适用性和准确性(与电厂稳态运行的参考值相比),重点是:(1)评估电厂模拟器组件的可用库,(2)纳入常规控制系统模型中的结构(3)动态优化算法中模型的连接和集成,以及(4)优化算法和动态模型与数据收集和管理软件的接口。已开发的电厂模型在以下方面进行了严格的评估:(a)性能,(b)用户友好性,(c)可扩展性,(d)计算效率,(e)对其他数学求解器的采用能力以及(f)接口功能。本文和演示文稿将分享使用这种过程仿真模型和优化工具进行电厂控制和性能改善的愿景。

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