The invention provides a deep intelligent coordination method for a thermal power
generating unit, which comprises the following steps of: acquiring and preprocessing data, introducing a coefficient based on
coal quality analysis and dynamically adjusting in a dry state coordination optimization stage, calculating and adjusting the
coal feed quantity and the feed-forward quantity of the water feed quantity according to the conditions of the unit and a
power grid by combining predictive control and an intelligent feed-forward technology, and improving the load adjusting capability. In the wet-dry and dry-wet conversion steps, the
water level of a separator, steam and feed
water flow are continuously monitored, conversion is triggered according to set conditions, equipment such as a
feed pump is coordinated to act, and stable conversion is guaranteed. During wet state coordinated optimization, the
water level of the separator and the feed
water flow are stabilized by using a PID or intelligent
algorithm, main
steam pressure and load are adjusted by using
model predictive control and the like, and meanwhile, a wet state characteristic and an equipment limitation constraint instruction are considered. According to the method, the intelligent coordination level of deep peak regulation of the thermal power
generating unit is comprehensively improved, and the operation efficiency, stability and flexibility of the unit are enhanced.