Analyzing the feasibility of fuel vehicle transition will be conducive to the realization of the
carbon neutralization goal. However, at present, there are few studies specifically aimed at …

This paper proposes a data-driven distributionally robust co-optimization model for the peer-
to-peer (P2P) energy trading and network operation of interconnected microgrids (MGs). In …

The power grid infrastructure encounters multiple uncertainties such as unprecedented
energy generation from non-dispatchable resources, erratic load, intensifying energy …

Renewable energy sources (RES) and low-carbon technology users play a vital role in
modern power systems. However, RES generation is easily affected by the environment …

This paper proposes a novel peer-to-peer (P2P) multi-grade energy trading design to
encourage demand side flexibility to locally absorb the uncertainty of renewable distributed …

Grid connection of intermittent renewable energy, such as wind power and photovoltaic,
results in challenges of keeping power balance for power system operation. In order to solve …

Due to inherent uncertainty and volatility, large-scale wind power integration brings new
challenges to the flexible operation of power systems. It calls for more flexibility not only from …

In recent years, multi-energy microgrid (MEM) has gained increasing interest, which could
use clean and efficient electro-thermal resources, multi-energy storages (MESs) and …

This paper proposes a real-time coordinated scheduling method for active distribution
networks (ADNs) with soft open points (SOPs) and plug-in electric vehicles (PEVs) via multi …

To efficiently restore electricity customers from a large-scale blackout, this paper proposes a
novel mixed-integer linear programing (MILP) model for the optimal disaster recovery of …