Optimization Control Method for Low-Voltage DC Microgrid with Low Carbon, Economy, and Reliability.

From the perspectives of economy, low carbon, and safety in DC microgrids, a multiscenario optimization control method of low-voltage DC microgrids based on the nondominant sorting arctic puffin optimization algorithm (NSAPOA) is proposed in this paper. The Wasserstein generative adversarial network with gradient penalty (WGAN-GP) is used to generate typical output scenarios of photovoltaic and loads that are reduced by the K-means clustering method to deal with the uncertainty of photovoltaic and load. Based on the time of use electricity price, the operating modes of the low-voltage DC microgrid system are divided to formulate relevant energy exchange strategies.