Cold and hot pipe network virtual energy storage power distribution network power supply capability analysis method and device
A technology of virtual energy storage and power supply capacity, applied in the fields of electrical digital data processing, instruments, design optimization/simulation, etc., to achieve the effect of improving economy and exerting resource utilization efficiency
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Embodiment 1
[0065] Embodiment 1 of the present invention provides a distribution network power supply capability analysis method for virtual energy storage of cold and heat pipe networks, including:
[0066] Construct the cooling and heating load user comfort model and the virtual energy storage model of the cooling and heating pipe network, and obtain the thermal average scale prediction index and the time-lag heat of the heat pipe network;
[0067] Obtain the electric energy required for the time-delayed heat of the heat pipe network based on the time-delayed heat of the heat pipe network;
[0068] determining whether the thermal average scale predictor is within a threshold;
[0069] If yes, then obtain the main transformer load rate and feeder load rate, construct the power supply capacity objective function, and construct constraint conditions based on the electric energy required by the time-delayed heat of the heat pipe network, the main transformer load rate and the feeder load ra...
Embodiment 2
[0112] Embodiment 2 of the present invention provides a distribution network power supply capability analysis device for virtual energy storage of cold and heat pipe networks, including:
[0113] The first model building block: used to construct the cooling and heating load user comfort model and the virtual energy storage model of the cooling and heating pipe network, and obtain the thermal average scale prediction index and the time-delayed heat of the heat pipe network;
[0114] Electric energy acquisition module: used to obtain the electric energy required for the time-lag heat of the heat pipe network based on the time-lag heat of the heat pipe network;
[0115] Power supply capability acquisition module: used to determine whether the thermal average scale prediction index is within the threshold;
[0116] If yes, then obtain the main transformer load rate and feeder load rate, construct the power supply capacity objective function, and construct constraint conditions bas...
Embodiment 3
[0118] Embodiment three of the present invention has carried out numerical example analysis to example:
[0119] Specifically as shown in Table 1 and Table 2:
[0120] Table 1. Substation configuration table in the example
[0121]
[0122] Based on the above description, the overall situation of the calculation example includes three substations, six main transformers, 28 feeders, 352 load nodes (11 industrial load nodes, 62 commercial load nodes, 279 residential load nodes), 436 315kV load nodes distribution transformers.
[0123] The results of calculating the maximum power supply capacity of the system under different constraint scenarios are shown in Table 2.
[0124] Table 2 Comparison and Analysis of System Power Supply Capability under Different Constraint Condition Scenarios
[0125]
[0126]
[0127] According to the above results, it can be analyzed that within a certain reliability range, the maximum power supply capacity of the system remains unchanged; ...
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