The PLC and upper computer are used in BOP control system of traditional thermal power plant to monitor the in-situ equipment. It is complicated and wastes labor and resources. It is difficult to maintain and manage t...The PLC and upper computer are used in BOP control system of traditional thermal power plant to monitor the in-situ equipment. It is complicated and wastes labor and resources. It is difficult to maintain and manage them. Beijing GuoDian ZhiShen Control Technology applied the homemade DCS (EDPF-NT System) to the integrated BOP control system of 600-MW supercritical power unit, which offers advantages in efficiency promotion, cost reduction and resource sharing. That also reflects the dominance of EDPF-NT System in performance, price, real-time DUP, network compatibility and communication. This article introduces the main characteristics, structure and configuration of EDPF-NT System, as well as the hierarchical operation, the multi-domain network structure and the private network router developed for Zhuanghe Power Plant.展开更多
Both the modeling and the load regulation capacity prediction of a supercritical power plant are investigated in this paper. Firstly, an indirect identification method based on subspace identification method is propos...Both the modeling and the load regulation capacity prediction of a supercritical power plant are investigated in this paper. Firstly, an indirect identification method based on subspace identification method is proposed. The obtained identification model is verified by the actual operation data and the dynamic characteristics of the system are well reproduced. Secondly, the model is used to predict the load regulation capacity of thermal power unit. The power, main steam pressure, main steam temperature and other parameters are simulated respectively when the unit load is going up and down. Under the actual constraints, the load regulation capacity of thermal power unit can be predicted quickly.展开更多
By combining the Back-Propagation （BP） neural network with conventional proportional Integral Derivative （PID） controller, a new temperature control strategy of the export steam in supercritical electric power pla...By combining the Back-Propagation （BP） neural network with conventional proportional Integral Derivative （PID） controller, a new temperature control strategy of the export steam in supercritical electric power plant is put forward. This scheme can effectively overcome the large time delay, inertia of the export steam and the influencee of object in varying operational parameters. Thus excellent control quality is obtaitud. The present paper describes the development and application of neural network based controller to control the temperature of the boiler＇s export steam. Through simulation in various situations, it validates that the control quality of this control system is apparently superior to the conventional PID control system.展开更多
文摘The PLC and upper computer are used in BOP control system of traditional thermal power plant to monitor the in-situ equipment. It is complicated and wastes labor and resources. It is difficult to maintain and manage them. Beijing GuoDian ZhiShen Control Technology applied the homemade DCS (EDPF-NT System) to the integrated BOP control system of 600-MW supercritical power unit, which offers advantages in efficiency promotion, cost reduction and resource sharing. That also reflects the dominance of EDPF-NT System in performance, price, real-time DUP, network compatibility and communication. This article introduces the main characteristics, structure and configuration of EDPF-NT System, as well as the hierarchical operation, the multi-domain network structure and the private network router developed for Zhuanghe Power Plant.
文摘Both the modeling and the load regulation capacity prediction of a supercritical power plant are investigated in this paper. Firstly, an indirect identification method based on subspace identification method is proposed. The obtained identification model is verified by the actual operation data and the dynamic characteristics of the system are well reproduced. Secondly, the model is used to predict the load regulation capacity of thermal power unit. The power, main steam pressure, main steam temperature and other parameters are simulated respectively when the unit load is going up and down. Under the actual constraints, the load regulation capacity of thermal power unit can be predicted quickly.
基金supported by the project of "SDUST Qunxing Program"(No.qx0902075)
文摘By combining the Back-Propagation （BP） neural network with conventional proportional Integral Derivative （PID） controller, a new temperature control strategy of the export steam in supercritical electric power plant is put forward. This scheme can effectively overcome the large time delay, inertia of the export steam and the influencee of object in varying operational parameters. Thus excellent control quality is obtaitud. The present paper describes the development and application of neural network based controller to control the temperature of the boiler＇s export steam. Through simulation in various situations, it validates that the control quality of this control system is apparently superior to the conventional PID control system.
