Patent ID: 11862969
Assignee: TIANJIN UNIVERSITY
Field: Electrical machinery, apparatus, energy (Electrical engineering)
Classification: CPC H  Y | IPC H

Claim 0:
1. An optimal configuration method for a hybrid energy storage of a grid-connected wind storage power generation system, comprising: performing a frequency domain decomposition on a historical wind power output, to count a high-frequency component and a low-frequency component of the historical wind power output, and determining a rated power of the hybrid energy storage based on a probability distribution function; establishing a hybrid energy storage capacity optimization model for a full life cycle of a wind farm to minimize a net present value of an annual cost and maximize a target satisfaction rate (TSR) of an output; extracting a daily typical scenario for the wind power output based on a clustering algorithm, to count a time proportion of each typical scenario as an input scenario of the hybrid energy storage capacity optimization model for the full life cycle of the wind farm; solving with a multi-objective optimization algorithm, to obtain an optimal hybrid energy storage capacity configuration scheme for the grid-connected wind storage power generation system; and operating the grid-connected wind storage power generating system based on the optimal hybrid energy storage capacity configuration scheme,
wherein an objective function F1 is established to minimize the net present value of the annual cost:, F
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wherein, CIk is an initial cost of a k-th energy storage device, in CNY; CRk is a replacement cost of the k-th energy storage device, in CNY; Nk is a replacement time of the k-th energy storage device, in hours; r is a discount rate for converting a future fund into a present value; I is an inflation rate; nk,t is a period for a k-th replacement of the energy storage device, in years; a is a ratio of the replacement cost to the initial cost; βn is a cost reduction coefficient of an energy storage material in an n-th year; sj,k is a stored electric quantity of the k-th energy storage device in a j-th typical scenario, in MWh; Pj is a time proportion of the j-th typical scenario; L is an operational lifespan of the wind farm, in years; dk is a discharge depth of the k-th energy storage device; Ck is a capacity of the k-th energy storage device, in MWh; cyk is a cycle number of the energy storage device; Ak is a unit system cost of the k-th energy storage device, in CNY/MWh; J is a total number of the typical scenarios.