Deep peak regulation method and device for heating unit, electronic equipment and storage medium

Abstract

The invention discloses a heating unit deep peak regulation method and device, electronic equipment and a medium, and the method comprises the steps: obtaining meteorological prediction data corresponding to a deep peak regulation moment, and inputting the meteorological prediction data into a preset heating thermal load prediction model to obtain a heating thermal load prediction value, wherein the preset heating thermal load prediction model is obtained by training historical heating thermal load values and corresponding historical meteorological data; inputting the heating heat load prediction value into a preset simulation model of the heat supply unit for calculation, and obtaining the deep peak regulation range of the heat supply unit, wherein the preset simulation model is generated by utilizing a heat balance diagram of the heat supply unit; and carrying out deep peak regulation on the heat supply unit according to the deep peak regulation range. According to the method and device, the urban heat supply demand can be effectively estimated by using the meteorological prediction data, the deep peak regulation range of the heat supply unit is further simulated and predicted according to the estimated heating heat load prediction value, and finally, the execution flexibility of the deep peak regulation task can be effectively improved according to the deep peak regulation range.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a deep peak-shaving method, device, electronic equipment and computer-readable storage medium for a heating and heating unit. Background technique [0002] With the rapid development of new energy in my country, more and more heating units need to participate in the deep peak regulation of the power grid. The heating unit usually adopts the method of "determining power by heat" to determine the deep peak regulation range, that is, first determine the heating output according to the real-time heating load, and then determine the adjustable space of the unit's power generation according to the heating output, and then participate in the balanced scheduling of the power grid . However, in related technologies, there is a lack of specific methods for predicting the heating load of the heating unit and the range of adjustable peaks, which makes it difficult for the managers of the heatin...

AI Technical Summary

Problems solved by technology

However, in related technologies, there is a lack of specific methods for predicting the heating load of heating units and the range of adjustable peaks, which makes it difficult for managers of heating units to determine the heating loads that heating units are about to deal with and the corresponding adjustable peaks. scope, reducing the flexibility of managers for deep peak shaving

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