中国电力 ›› 2019, Vol. 52 ›› Issue (12): 146-153.DOI: 10.11930/j.issn.1004-9649.201908026

• 节能与环保 • 上一篇    下一篇

基于前馈结构的变参数预测控制的喷氨装置优化及应用

寻新1,2, 盛锴2,3, 陈翔宇4, 邓继军4   

  1. 1. 国网湖南省电力有限公司电力科学研究院, 湖南 长沙 410007;
    2. 高效清洁火力发电技术湖南省重点实验室, 湖南 长沙 410007;
    3. 湖南省湘电试验研究院有限公司, 湖南 长沙 410006;
    4. 国电湖南宝庆煤电有限公司, 湖南 邵阳 422000
  • 收稿日期:2019-08-03 修回日期:2019-09-03 发布日期:2019-12-05
  • 作者简介:寻新(1969-),男,硕士,高级工程师,从事热工控制优化与网源协调研究,E-mail:xunxin69@163.com

Optimization and Application of Ammonia Spraying Device Using Dynamic Matrix Control with Variable Parameters Based on Feed-Forward Loop

XUN Xin1,2, SHENG Kai2,3, CHEN Xiangyu4, DENG Jijun4   

  1. 1. State Grid Hunan Electric Power Company Research Institute, Changsha 410007, China;
    2. Hunan Provincial Key Laboratory of High Efficiency & Clean Thermal Power Technology, Changsha 410007, China;
    3. Hunan Xiangdian Test & Research Institute Co., Ltd., Changsha 410006, China;
    4. Guodian Hunan Baoqing Coal Power Co., Ltd., Shaoyang 422000, China
  • Received:2019-08-03 Revised:2019-09-03 Published:2019-12-05

摘要: 火电机组选择催化还原(selective catalytic reduction,SCR)脱硝系统具有大时延、大惯性、非线性等控制难点,基于PID调节的常规喷氨控制系统无法满足越来越高的控制要求和环保要求。针对当前常规喷氨控制存在的缺点,提出了一种基于前馈结构的变参数预测控制喷氨优化策略,该策略通过预测控制提高闭环调节速率,通过前馈控制降低外部扰动影响,通过自适应变参数改善策略的鲁棒性。最后,基于该策略设计开发了一套喷氨优化装置并在某660 MW超临界火电机组上实现应用。应用结果表明,该装置能够有效改善喷氨控制效果。

关键词: SCR, 变参数, 预测控制, 扰动, 鲁棒性, 喷氨优化装置

Abstract: Facing the challenges of the controls in the selective catalytic reduction (SCR) flue gas denitration system of thermal power units, such as long duration of time delay, high inertia and strong nonlinearities, typical PID regulator-based ammonia spraying control systems are not capable of meeting the increasingly high control performance and environmental protection requirements. Regarding the existing issues in the conventional regulators, this paper proposes an optimized ammonia spraying control strategy using dynamic matrix control with variable parameters on the basis of feed-forward loop. The new control strategy can speed up the closed-loop control rate through predictive control, alleviate the external disturbance through feed-forward loop and improve the robustness through self-adaptability to variable parameters. At last, an optimized ammonia spraying control device based on the new strategy is developed and then implemented to a 660 MW supercritical unit. The application practice demonstrated the effectiveness of the device in the performance improvement of ammonia spraying controls.

Key words: SCR, variable parameter, predictive control, disturbance, robustness, ammonia spraying optimization device

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