Multi-objective optimization of hybrid energy storage in micro-grid based on wavelet packet decomposition and neural network

Zhongchao Wu; Mingxing Zhu; Qi Li; Lijun Xue; Xuewei Wang; Jilian Yang; Yixun Xu

doi:10.1117/12.2611078

14 October 2021 Multi-objective optimization of hybrid energy storage in micro-grid based on wavelet packet decomposition and neural network

Zhongchao Wu, Mingxing Zhu, Qi Li, Lijun Xue, Xuewei Wang, Jilian Yang, Yixun Xu

Author Affiliations +

Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 119303W (2021) https://doi.org/10.1117/12.2611078
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China

Abstract

A multi-objective optimization design model of distributed micro-grid for local wind and solar energy consumption is proposed. Firstly, in view of the smooth grid connection of high permeability renewable micro sources, the wind output power is decomposed by wavelet packet frequency in different decomposition frequency bands, and the corresponding power primary command is obtained. Combining with power primary command and the configuration of hybrid energy storage system (Hess), the smoothness index after suppression is calculated, using multilayer feed forward neural network, the neural network model of micro-grid design parameters—smoothness index is trained to design parameters of micro network. Then, the K/P/Q — neural network economic cost mathematical model was established by using genetic algorithm to solve the problems of cycle life and charge and discharge power consumption investment cost of lead-carbon battery, so as to realize the multi-objective optimization design of micro-grid and minimize the investment cost. Finally, Matlab is used to verify the feasibility and effectiveness of the proposed model in the evaluation of the smoothness index and the optimal allocation of capacity of the micro-grid.

Citation Download Citation

Zhongchao Wu, Mingxing Zhu, Qi Li, Lijun Xue, Xuewei Wang, Jilian Yang, and Yixun Xu "Multi-objective optimization of hybrid energy storage in micro-grid based on wavelet packet decomposition and neural network", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 119303W (14 October 2021); https://doi.org/10.1117/12.2611078

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