Energy storage system control method and control device
A technology of an energy storage system and a control method, applied in the field of renewable energy power generation, can solve the problems of a large amount of test data in the rule base, excessive charging and discharging actions, and the power curve is not smooth enough.
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Embodiment 1
[0049] image 3 It is a block diagram of the system structure for calculating the command value of the charging and discharging control of the energy storage system in the first embodiment. Among them, 302, 313, 314, and 315 are system noise filters, which take renewable energy power detection value 301, battery SOC detection value 316, energy storage system power detection value 317, and energy storage system temperature detection value 318 as input quantities. The filter is selected as a low-pass filter, wherein the cutoff frequency of the filter 302 can be set between the noise frequency characteristic of the renewable energy power detection system and the frequency characteristic of the actual value of the renewable energy power. The purpose is to filter out the high-frequency noise brought by the system sensor AD / DA module and the transmission line.
[0050] The parameter selection method of other filters 313 , 314 , 315 is similar to 302 .
[0051] The multi-scale anal...
Embodiment 2
[0068] Figure 5 It is a structural block diagram of the system used to calculate the command value of the charging and discharging control of the energy storage system in the second embodiment. exist Figure 5 in, with image 3 Parts with the same reference numerals in the above represent the same structures as those in Embodiment 1, and will not be repeated here.
[0069] In the second embodiment, the energy storage system receives the grid dispatching instruction or the external control command power (319), and the energy storage system controller uses the renewable energy power (included in the signal 303) and the external signal 319 to calculate the energy storage system charging Discharge target power.
[0070] 304, 320 and 321 implement an adaptive multi-scale decomposition process. Among them, the high-frequency component calculation module 320 receives the result of the multi-scale analysis, that is, the signal component 305, and obtains the highest frequency comp...
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