http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112446145-B

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http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-06
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filingDate 2020-11-20^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-11-08^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-11-08^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112446145-B
titleOfInvention A Robust Planning Method for Energy Storage Power Station Distribution Based on KL Divergence
abstract The robust planning method for the distribution of energy storage power stations based on KL (Kullback-Leibler, KL) divergence of the present invention, firstly, according to the power function of the electrochemical energy storage cycle life, the life model of the energy storage power station with the equivalent full cycle times is established, considering The energy storage power station life model constraints and system operation constraints are used to construct the energy storage power station planning model with the goal of the energy storage power station's full life cycle cost and the minimum unit operating cost; then the wind power output uncertainty set based on KL divergence is embedded. In the energy storage power station planning model, the distributed robust planning model of the energy storage power station is transformed into a mixed integer linear programming model by the sample average approximation method. The robust planning method for distribution of energy storage power stations of the present invention seeks the optimal decision of the worst probability distribution by establishing a fuzzy set of the probability distribution of new energy output, without assuming the type and parameters of the probability distribution, so that the probability of uncertain quantities can be used. Statistical information can also ensure the robustness of the planning results.
priorityDate 2020-11-20^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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