An effective modeling and optimization method, which takes into account source-load-
storage coordination, and full-time collaborative optimization within and outside micro-grids …

The uncertainties of renewable energy, loads, and electricity prices pose significant
challenges to the economical and secure energy management of smart grids. In this article …

With the deepening of the coupling between electric, gas, and thermal energy systems,
traditional relatively independent energy systems are evolving towards an integrated energy …

In this paper, a novel energy pricing and sharing strategy is proposed to solve the energy
management and market bidding problems of a virtual energy station (VES) in multi-carrier …

This paper proposes a novel centralized switching controller for the state of charge
balancing of battery energy storage systems distributed in a DC microgrid. The main …

Collaborative energy management is a critical issue in integrated energy system (IES).
Aiming at the problem, a novel finite time double consistency algorithm is proposed to solve …

Distributed optimization algorithms have various advantages and wide applications, while
the distributed nature also makes them flimsy in the face of external attacks. In this paper two …

We present HydroFlow, a novel deep generative model for predicting the electricity
generation demand of large‐scale hydropower stations. HydroFlow uses a latent stochastic …

With the increasing penetration of electric vehicles (EV) and distributed generations (DG) in
distribution networks, operation and control of distribution networks (DN) is faced with many …

Consensus-based algorithm is widely used in secondary frequency and voltage control in
islanded microgrids. However, most existing control strategies require communication …