Dual-intelligent-optimization control method for unit load
A unit load and intelligent optimization technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems affecting the application effect of the model, the influence of steam turbine work, and poor anti-interference ability, so as to ensure long-term safety and reliability operation, improving the load response rate, and improving the effect of deep peak shaving ability
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[0041] Aiming at the shortcomings of the existing coordinated control system (CCS) in the large supercritical unit mentioned in the background art that it is difficult to meet the fast load response requirements of the power grid, and it is easy to cause large fluctuations in parameters such as main steam pressure and main steam temperature, the present invention establishes a plan. The neural network model of steam turbine unit load prediction with condensate throttling, and then proposes a dual intelligent optimization control method for unit load based on the intelligent model. The present invention mainly includes two parts.
[0042] 1. Establish a neural network model for turbine load forecasting that takes into account condensate throttling, including the following specific steps:
[0043] (1) Select model input and output parameters
[0044] Use the deaerator water level adjustment door opening to replace the condensate flow as the model input, and select the main steam press...
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