Online optimization and adjustment method and system for steam supply quality of annular steam heat-supply network
An adjustment method, a technology of steam quality, applied in pipeline systems, mechanical equipment, gas/liquid distribution and storage, etc.
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Embodiment 1
[0097] Such as figure 2 As shown, the present invention provides a method for online optimization and adjustment of the steam supply quality of the annular steam heating network, including:
[0098] Step S1, adding a regulating valve in the annular steam heating network; and
[0099] Step S2, control the opening of the regulating valve to adjust the distribution of steam flow in the annular steam heating network, optimize the quality of steam, and then make the quality of steam reaching each heat user meet user needs.
[0100] Wherein, adding a regulating valve in the annular steam heating network in the step S1 includes: in order to improve the reliability of adjusting the steam quality of the annular steam heating network, setting several regulating valves, and in order to improve the steam quality of regulating the annular steam heating network Sensitivity, the regulating valve is installed close to the heat source steam outlet of the annular steam heating network, so as ...
Embodiment 2
[0138] On the basis of Embodiment 1, the present invention also provides an on-line optimization and adjustment system for steam supply quality of an annular steam heating network, including:
[0139] A number of regulating valves located in the annular steam heating network, and at least one regulating valve is provided in each basic circuit in the annular steam heating network; and an automatic control system for controlling the opening of each regulating valve, the automatic control system is based on The optimal opening scheme of the regulating valve obtained by the host computer through the intelligent search algorithm controls the opening of the regulating valve to adjust the steam flow distribution in the annular steam heating network.
[0140] Wherein, for the specific steps of the intelligent search algorithm involved in this embodiment, refer to the corresponding content in Embodiment 1.
Embodiment 3
[0142] Due to the huge amount of calculation of this algorithm, if a traditional single-core processor is used, the calculation will take a lot of time. Therefore, when the present invention is optimized, it adopts parallel computing or cloud computing to reduce computing time and ensure that it is based on intelligent search algorithms. The online optimization results can be applied to the heating network in time. Since the calculation of the steam state of the whole network is a complex and long process, that is, the calculation of the fitness function value is complicated, so the master-slave parallel model is adopted. It does not change the basic structure of the algorithm, there is only one group, the global operation is performed serially by the main processor, and the calculation and evaluation of fitness are performed in parallel by the slave processors.
[0143] Such as Figure 5 and Figure 6 As shown, on the basis of Embodiment 1 and Embodiment 2, the present inve...
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