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Steam temperature optimization software in the application of 500 mw coal-fired units

by:Sincerity     2020-12-07
Abstract: steam temperature optimization software application in 500 mw coal-fired unit information produced by excellent flow meter, flow meter manufacturer to offer you the quotation. One, the introduction of the electric power industry as the competition, many electrical companies adopt various means to adapt to the development of the new situation. Though no one can predict the future will be how, zui directly measure is to reduce the operation and maintenance cost, reduce the coal consumption,. More flow meter manufacturers choose model price quote you are welcome to inquire, here is the steam temperature optimization software application in 500 mw coal-fired unit article details. One, the introduction of the electric power industry as the competition, many electrical companies adopt various means to adapt to the development of the new situation. Though no one can predict the future will be how, zui directly measure is to reduce the operation and maintenance cost, reduce the coal consumption, increase the unit availability. This article will to MidAmericanEnergy GeorgeNeal power station unit 3 renovation project as an example, introduces Smartprocess steam temperature optimizer in the application of steam temperature control, in order to improve the quality of steam temperature control, reduce furnace tube leakage, zui to achieve cost reduction. Second, the user context GeorgeNeal power station located in IOWA state of Missouri river. The capacity of 515 mw unit 3, the Foster - Wheeler hedge type GE drum boiler and turbine, MPS - 6 sets 89 coal mill respectively before and after the furnace wall of 24 supply pulverized coal burner. Superheated steam temperature controlled by water level 1 and 2, reheat steam temperature by water jet, overheating baffle and reheat damper control. Boiler control system using WDPF system. Control system transformation, the excessive volatility of steam temperature is too big, limits the response speed of unit, the response rate of 1% under low load/min, under high load response speed to zero. 3% /分钟。 As a result, the user in conjunction with EPRI and Emerson company discuss control system suppliers, decided to use Smartproce steam temperature optimizer to improve the load under the dynamic change of temperature response, so as to realize the increase of load response speed. Smartprocess steam temperature optimizer is Emerson power optimization software package has a very important role in feedforward, improving the steam temperature control products quality. Third, engineering planning in order to realize the whole control system for two tasks; One is to improve the steam temperature control, and improve the load response ability; Second, compared to conventional PID control method, record the optimizing system improvement. The whole project of the main steps include: low record low current system design and performance optimization and test low current system design and installation of advanced steam temperature control system's performance test and record the advanced control system when preparing test report four, the existing system of evaluation of the existing control system is a set of conventional PID control system. Superheater secondary water using cascade control, an outer loop controller, two inner loop controller. Superheater water level also USES cascade control, with inner and outer loop controller. Flue gas damper is controlled by a reheat temperature controller in the scope of a pre-configured. Reheat hydraulic control circuit for the single PID loop. * the existing control system without any special is the steam temperature control loop feedforward signal. Figure 1 is the function of the secondary hydraulic control circuit diagram, TTFuzz module for the optimized feed-forward module. Before the start of the optimization work record in the current loop PID controller and the other module of the adjustable setting Settings. Then on hu's PID parameter adjustment, in order to improve the quality of the control response. Overheated water adjusting parameters for larger adjustment, the load response speed improvement is very obvious. Further test analysis showed that the current parameter Settings under some conditions are very similar to the optimizer to give value. Flue gas damper control Settings and then hot water spray Settings are done very small changes. Five, the model on discerniblile and test to design advanced multivariable controller, you must first build process model. A modeling method of the process there are many kinds of, zui is practical model. Model ferreting ( Or system on discerniblile) Need to collect unit under the specific operating conditions test controller input and output variables and vibration data. Need all these tests are used to inspire a modeling process model characteristics. Typical test include: open-loop step test, the pseudo random binary sequence test and frequency response test. If you need, but also closed loop variable step experiment was carried out. If known disturbance quantity object has a great influence on process, it must be disturbance experiment was carried out. For the purpose of this project, all the steam temperature control circuit for open loop step test and the closed loop setpoint response test. In addition, also to reflect the effect of disturbance of load of the load change and the coal mill start stop test. All test takes 5 days to complete. The history of DCS stand is used to record all the test data. A complete set of test 150 data points collected; And during the test, these points in the historical site collection and dead zone is configured to close to zero. If the acquisition data of the dead zone is too big, model on discerniblile software will not be able to produce good results. High fidelity data to identify the accuracy of the model is very important. Six, adopted by the controller design of this project Smartprocess steam temperature optimizer contains two separate technology.
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