Optimal allocation method for hybrid energy storage capacity of micro-grid wind-light storage system

Abstract

The invention discloses an optimal allocation method for hybrid energy storage capacity considering the output fluctuation stabilization of a wind-light storage system. Variational mode decompositionis adopted to decompose the hybrid energy storage system's reference power obtained by moving average filter into two parts: high frequency and low frequency, which are respectively used as the reference power of a supercapacitor and a storage battery in the hybrid energy storage system. A neural network model is trained by using the corresponding relationship between a large number of energy storage system parameters obtained by simulation and the smoothness of output power of the wind-light storage system. Taking the optimal smoothing effect and the lowest investment cost as the objective functions, the optimal capacity allocation model of the hybrid energy storage system is constructed, and the genetic algorithm is used to solve the optimal capacity allocation scheme of the hybrid energy storage system. The invention fully utilizes the complementary characteristics of the storage battery and the supercapacitor in the aspects of power density, energy density and the like, thus reducing the capacity configured by the storage battery and the supercapacitor, ensuring the economy and enhancing the stabilizing effect of HESS on the fluctuation of wind and light output power.

Description

technical field [0001] The invention belongs to the field of optimal configuration of energy storage capacity of a microgrid, and in particular relates to a method for optimal configuration of hybrid energy storage capacity considering the smooth output fluctuation of a wind-solar-storage system. Background technique [0002] In recent years, the global attention to the sustainability of energy and the environmental problems caused by traditional power generation methods has provided impetus for the development of renewable energy. As an important way for renewable energy power generation equipment to connect to the power grid, the safety and stability of microgrid operation is affected by the randomness and intermittent nature of renewable energy power generation. Equipping a certain capacity energy storage device in the microgrid can stabilize the fluctuation of renewable energy output, ensure the power quality and operation stability of the microgrid, and improve energy u...

AI Technical Summary

Problems solved by technology

The accuracy of wavelet packet decomposition is easily affected by the selected basis function, and the calculation is complicated

The modal components with similar frequencies decomposed by EMD are prone to modal aliasing, which affects power distribution

EEMD greatly improves the modal aliasing problem, but the amount of data calculation is too large

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