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Dynamic optimization approach to coordinate industrial production and cogeneration operation under electricity price fluctuations
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2021-03-20 , DOI: 10.1016/j.compchemeng.2021.107292
Cristian Pablos , Alejandro Merino , Luis Felipe Acebes , José Luis Pitarch , Lorenz T. Biegler

Industrial processes working with cogeneration utilities can coordinate their operation to take advantage of Demand Response programs to reduce their cost, while making the grid more stable and secure. Simplified steady-state and transition models are usually employed in a mathematical scheduling fashion to deal with this problem in process plants with small inertia. Here, however, we propose the use of a dynamic-integrated optimization approach that considers the dominant process dynamics jointly with the heat and power coupling in the cogeneration unit. The methodology meets the related European legislation and it has been tested in a simulated sugar factory that has a cogeneration system with connection to the external grid. The operation under two tariffs (TOU and Spanish Day-Ahead prices) was compared to the traditional policy of maximum production and fixed electricity prices, showing that a reduction of up to 5.41% of the costs is possible for the considered case study.



中文翻译:

在电价波动下协调工业生产和热电联产运行的动态优化方法

与热电联产公司合作的工业流程可以协调其运营,以利用需求响应计划降低成本,同时使电网更加稳定和安全。在具有较小惯性的过程工厂中,通常以数学调度方式使用简化的稳态和过渡模型来解决此问题。但是,在这里,我们建议使用动态集成优化方法,该方法综合考虑了热电联产机组中的主要过程动力学以及热电耦合。该方法符合欧洲相关法规,并已在模拟糖厂进行了测试,该糖厂具有与外部电网连接的热电联产系统。

更新日期:2021-04-04
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