基于两层协调结构的空分供气网络调控方法

In the iron & steel enterprise, the contradiction between intermittent demand and continuous supply is ubiquitous. As scheduling and control of air separation supply network is not timely, oxygen release ratio of the iron & steel enterprise is very high. In order to achieve optimal operational conditions, the integration of scheduling and control is essential. In this project, integration of scheduling and control based on two-layer coordination approach are investigated and developed for continuous processes. This project focus on the following research topic of multi-scale production scheduling based on LPV layer-bridging model. Final, the effectiveness of the proposed methods will be verified experimentally on air separation supply network simulation platform. Through this project, the efficient regulation of air separation supply network in iron & steel enterprise is realized, and in result the oxygen release ratio is effectively reduced energy saving goal is achieved. The framework and all the methodology can be generalized to other industry processes with the similar characteristic.

由于钢铁生产间断用氧与空分连续稳定供氧之间的矛盾，以及空分供气网络调控不及时，导致钢铁企业供气网络的氧气放散率高。围绕钢铁企业氧气放散问题，针对生产过程调度与控制一体化需求，本课题拟研究基于两层协调结构的连续生产过程调控系统，开展基于LPV跨层模型的多尺度生产调度的研究，并在空分供气网络仿真平台上进行应用验证。通过本项目的研究，实现钢铁企业空分供气网络的高效调控，有效降低氧气放散率，达到节能降耗的目标。本课题对具有同类特征的过程具有明显的指导意义。

由于钢铁生产间断用氧与空分连续稳定供氧之间的矛盾，以及空分供气网络调控不及时，导致钢铁企业供气网络的氧气放散率高。围绕钢铁企业氧气放散问题，本课题开展了基于两层协调结构的空分供气网络调控方法研究，并提出空分装置群的设备启停及变负荷调度算法、基于时间划分的PWA-OE混杂建模算法、基于梯度特征的分布曲线MPC控制算法、基于FPAA模拟神经网络的空分快速MPC算法等成果，并在空分供气网络仿真平台上进行应用验证。通过本项目的研究，可实现钢铁企业空分供气网络的有效调控，有效降低氧气放散率，达到节能降耗的目标。.。