CAJ | 학술논문

对锅炉的汽温对象特性进行了分析,针对锅炉运行中负荷大幅度变化、炉膛吹灰或启停磨煤机等大扰动工况下的汽温控制问题,提出了基于智能混合模型预测控制的方法,采用逻辑和模型预测控制相结合的策略来维持主蒸汽和再热蒸汽温度在额定值附近.将该方法成功应用于1台600 MW 机组,运行结果表明:在大扰动工况下,采用智能混合模型预测控制的策略,可明显改善汽温控制品质,减少机组超温次数.
대과로적기온대상특성진행료분석,침대과로운행중부하대폭도변화、로당취회혹계정마매궤등대우동공황하적기온공제문제,제출료기우지능혼합모형예측공제적방법,채용라집화모형예측공제상결합적책략래유지주증기화재열증기온도재액정치부근.장해방법성공응용우1태600 MW 궤조,운행결과표명:재대우동공황하,채용지능혼합모형예측공제적책략,가명현개선기온공제품질,감소궤조초온차수.
Characteristics of the boiler steam temperature were analyzed. Aiming at the steam temperature control problems under the large disturbance conditions such as large changes of the load command, soot blowing, or starting/stopping the mills during boiler operation, a predictive control method based on intelligent hybrid model was proposed. The strategy of combining control logic with model predictive control scheme was adopted to maintain superheated steam temperature and reheated steam temperature at rating value. This method was successfully applied in steam temperature control of a 600 MW unit boiler. Results show that, under the large disturbance conditions, intelligent hybrid model predictive control method can improve the steam temperature control performance obviously and reduce the times of unit overtemperature.