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Optimized distribution method and device for power of thermoelectric combined energy storage power station

A combined heat and power, energy storage power station technology, applied in the field of energy storage

Active Publication Date: 2019-05-14
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

[0004] This application provides an optimal distribution method of combined heat and power energy storage power station power, which solves the demand problem of the control strategy for the power distribution of energy storage batteries and heat storage systems in the ultra-short term in the future

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  • Optimized distribution method and device for power of thermoelectric combined energy storage power station
  • Optimized distribution method and device for power of thermoelectric combined energy storage power station
  • Optimized distribution method and device for power of thermoelectric combined energy storage power station

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Embodiment Construction

[0048] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0049] Please see figure 1 , figure 1 It is a schematic flow chart of a method for optimizing the distribution of power of a combined heat and power energy storage power station provided in the embodiment of this application. The following combines figure 1 The method provided by this application is described in detail.

[0050] Step S101, collect relevant parameters of the combined heat and power energy storage power station, and use the collected relevant parameters of the combined heat and power energy storage p...

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Abstract

The invention discloses an optimized distribution method for power of a thermoelectric combined energy storage power station, comprising the following steps: collecting relevant parameters of the thermoelectric combined energy storage power station; using the relevant parameters as index vectors of the power station; using the preset division limit of the state of charge, the power storage power coefficient, the heat storage power coefficient and the like of the energy storage battery as judgment conditions of a random forest neural network; defining the working state class of the power station; calculating whether the index vectors exceed a safe operation range under each working state class, calculating the probability of exceeding the safe operation range in each working state, and reserving the combination with the minimum probability as a training sample; using the training sample to generate and optimize the random forest neural network, taking the state quantity of the energy storage system in a future period of time as an input value, and outputting the working mode of the thermoelectric combined energy storage power station through the random forest neural network, therebysolving the demand problem of a control strategy for distributing power of an energy storage battery and a heat storage system in a future ultra-short-term power generation trend.

Description

technical field [0001] The present application relates to the field of energy storage technology, in particular to a method for optimal distribution of power in a combined heat and power energy storage power station, and at the same time relates to a device for optimizing power distribution in a combined heat and power energy storage power station. Background technique [0002] With the rapid development of new energy power generation, especially photovoltaic and wind power generation, the proportion of its grid connection is also increasing year by year. The volatility and intermittency of photovoltaic and wind power generation also bring new problems to the power system, and energy storage is an effective solution. In order to stabilize the system fluctuations caused by large-scale photovoltaic and wind power generation, it is necessary to configure a large-capacity energy storage system. [0003] Under the circumstances that pumped water storage and compressed air energy...

Claims

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Application Information

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IPC IPC(8): H02J3/28H02J15/00
Inventor 李相俊毛子诚惠东李静立祁万年魏鹏贾学翠王上行杨水丽马会萌毛海波
Owner CHINA ELECTRIC POWER RES INST
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