Method for configuring capacity of hybrid energy storage in micro-grid based on mathematical statistic and wavelet decomposition algorithm

Abstract

The invention discloses a method for configuring capacity of hybrid energy storage in a micro-grid based on mathematical statistic and a wavelet decomposition algorithm. The method comprises the steps of obtaining a theoretical power demand signal of an energy storage unit according to a small hydropower unit, a photovoltaic unit, a wind power generation unit and load of a micro-grid system, adopting the wavelet decomposition algorithm to analyze the frequency spectrum feature of the theoretical power demand signal, preliminarily determining the dividing frequency fN of hybrid energy storage, obtaining the power and capacity of the hybrid energy storage according to the dividing frequency fN, conducting confidence level and economical evaluation on an energy storage configuration result based on the mathematical statistic, determining the dividing frequency fN of the hybrid energy storage if an evaluation result does not meet the requirement and completing the step if the evaluation result meets the requirement. The method has practical significance on saving of one-time investment and improvement of power supply reliability of the micro-grid.

Description

technical field [0001] The invention relates to a capacity allocation method of hybrid energy storage in a micro-grid based on mathematical statistics and wavelet decomposition algorithms, and belongs to the technical field of micro-grid energy storage. Background technique [0002] As a new type of energy network supply and management technology, microgrid facilitates the access of distributed energy systems, and at the same time can realize demand-side management and maximize the use of existing energy. However, since intermittent renewable energy generation generally occupies a large proportion, the ability of the microgrid system to withstand disturbances is relatively weak. In order to give full play to the advantages and benefits of renewable energy power generation, balance its random fluctuations, maintain system stability, improve power quality, and provide uninterrupted power supply functions, etc., it is necessary to equip the system with a certain capacity energy...

AI Technical Summary

Problems solved by technology

The difference supplement method is a relatively traditional capacity allocation method. This allocation method is very simple and does not require complex modeling and calculations; however, this method does not consider the dynamic changes in the capacity of the energy storage system in actual operation, and the allocation capacity is often not accurate enough.

The fluctuation stabilization analysis method mainly optimizes the configuration of energy storage capacity based on the smoothing effect of energy storage on fluctuation power. Different optimization angles have different capacity configuration methods, resulting in complex calculation methods

The economic characteristics optimization method is mainly to establish the economic operation model of the system, establish the objective function and constraint conditions, and use the energy storage capacity as one of the optimization variables, and use different optimization algorithms to optimize the solution, which also makes the calculation method complicated

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