A robust optimization approach to energy hub management
A robust optimization approach to energy hub management
复制标题
DOI：
10.1016/j.ijepes.2012.03.015
复制
发表时间：
2012-11
影响因子：
5.2
通讯作者：
A. Parisio;C. D. Vecchio;A. Vaccaro
中科院分区：
文献类型：
--
作者：
A. Parisio;C. D. Vecchio;A. Vaccaro
本文提出了能源中心运营的鲁棒优化问题。能源中心是一个多联产系统，输入到中心的多个能量载体被转换、存储和分配，以满足能源需求。能源中心运营问题的解决方案确定了要购买和存储的能源载体，以满足能源需求，同时最小化成本函数。提出了一种使用鲁棒优化（RO）技术的控制方法；具体而言，确定输入到中心的能量载体、它们在转换器之间的分配以及它们的存储，以满足能量中心输出随时间变化的要求，同时最小化能量消耗。考虑了能源中心参数的有限不确定性，并利用 RO 方法来获得对所有值或不确定数据的选定子集都可行的稳健解决方案。模拟结果强调了将所提出的方法应用于加拿大滑铁卢设计的能源中心结构所带来的好处。
In this paper a robust optimization problem of an energy hub operations is presented. An energy hub is a multi-generation system where multiple energy carriers input to the hub are converted, stored and distributed in order to satisfy energy demands. The solution to energy hub operation problem determines the energy carriers to be purchased and stored in order to satisfy energy requests while minimizing a cost function. A control approach using Robust Optimization (RO) techniques is proposed; specifically the energy carriers input to the hub, their distribution among converters and their storage are determined in order to satisfy the energy hub output time-varying requests while minimizing the energy expenses. Bounded uncertainties on energy hub parameters are taken into account and RO methods are exploited to gain robust solutions which are feasible for all values, or for a selected subset, of uncertain data. Simulation results underline the benefits resulting from the application of the proposed approach to an energy hub structure designed in Waterloo, Canada.