Jifeng Li

TL;DR: In this paper, a double-layer optimization model is built for a multi-energy microgrid with the optimal configuration, and the impact of configuration on the reliability and economical performance of the microgrid system is quantitatively analyzed based on actual calculations.

TL;DR: In this paper , a low-carbon optimal learning and scheduling method for the power system that takes into account the carbon capture system and the carbon emission flow theory is proposed, and a bi-level alternating optimal scheduling model, which includes system day-ahead scheduling and load demand response adjustment, was established with all aspects of the power systems (source, grid, load and storage) considered, and this model was solved by a deep deterministic policy gradient algorithm based on the deep reinforcement learning actor-critic framework.

TL;DR: In this paper , a network-secure peer-to-peer (P2P) market with two-stage framework is presented, which considers stakeholders' changeable roles between producer and consumer in the energy and carbon allowance transaction.

TL;DR: This manuscript discussed several different operational strategies for energy storage devices in the multi-energy microgrid system by combining the FMEA method and Monte Carlo simulations, and a novel reliability evaluation method was proposed which incorporated multi- energy complementarity.