Xingxing Energy keenly captures the needs of this era, and with its forward-looking thinking and innovative spirit, it takes the lead in defining a new energy model of scenario microgrid,
Considered as basic structures of next-generation energy system, environment-friendly and flexible microgrid (MG) systems are potential solutions to deal with stochastic renewable energy sources
A two-layer optimal configuration model of fast/slow charging piles between multiple microgrids is proposed, which makes the output of new energy sources such as wind power and
Wang Di, Senior Vice President of Xingxing Charging: Empowering the New Energy Sector with AI to Build an Intelligent Ecosystem for Charging, Microgrids, and Power Trading | 36Kr
Biography Xingxing Chen (Member, IEEE) received the B.S. degree from Southwest Jiaotong University, Chengdu, China, in 2015, and the Ph.D. degree from Xi''an Jiaotong University, Xi''an, China, in 2021,
Azaza et al. [18] employed a multi-objective particle swarm optimization (MOPSO) algorithm to find the optimal size configurations for hybrid microgrid systems in various regions. The
Smart power converters are crucial components within a microgrid. They enable bidirectional power regulation and energy conversion, serving as key interfaces that connect
This problem-oriented study is the first to elaborate energy management in microgrid and multi-microgrid from the perspective of energy utilization model. Then, a systematic hierarchical
Transformer Saturation Analysis and Mitigation for MMC-Based Grid Emulator Xingxing Chen, Zejie Li*, Fangzhou Zhao, Xiongfei Wang, Martin Geske, Rayk Grune *Corresponding author for this work
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