基于信息物理跨空间认知与协同的多微网直流配电网络有功功率控制

In the DC distribution network, massive distributed resources are connected as networked microgrids to exploit the regulation potential of resources under cyber-physical fusion. However, it cannot be ignored that physical uncertainties, such as generation fluctuations, and cyber uncertainties, such as communication congestion, will easily be superimposed to cause severe active power fluctuations. To address these issues, active power control based on cyber-physical cross-space understanding and cooperation is studied for microgrids and resources, respectively. For microgrids: 1. Considering the multifaceted factors in regulation, the power flow constraints-dependent centralized control method is studied to generate the optimal control commands; 2. Considering the need to build a wired network for microgrids to ensure communication quality, a demand-driven network matching method is designed to provide reliable network support. For resources: 1. Considering the presence of external disturbances in the regulation process, a combinatorial fault-tolerant control strategy is proposed to tolerate faults actively and achieve a flexible response of resources to microgrids' commands; 2. Considering the need to build a wireless network for flexible communication under plug-and-play of resources, a dual optimization strategy is proposed to provide reliable network support for multi-scenario regulation. Related case studies are presented in the final.