With a rapid growth of Integrated Energy System (IES) in various scenarios, researches on
IES have attracted extensive attention in the last few decades. Inspired by the ever …

Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …

With the widespread adoption of combined heat and power and power-to-heat technologies,
multi-energy microgrids (MEMGs) have been garnering significant research attention from …

As high amounts of new energy and electric vehicle (EV) charging stations are connected to
the distribution network, the voltage deviations are likely to occur, which will further affect the …

The uncertainty of renewable distributed energy (photovoltaic, wind power, etc.) and load
demand in the microgrid poses challenges to the economy and safety of microgrid …

This paper proposes a distribution system restoration model which is in response to multiple
outages caused by natural disasters. The proposed restoration model includes the …

The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage
violations in active distribution networks (ADNs). The conventional voltage regulation …

Power electronic converter (PEC)-interfaced renewable energy generators (REGs) are
increasingly being integrated to the power grid. With the high renewable power penetration …

In this paper, we propose a safe deep reinforcement learning (SDRL) based method to solve
the problem of optimal operation of distribution networks (OODN). We formulate OODN as a …

Considering the high penetration of distributed energy resources (DERs), extensive
communication networks are deemed necessary to realize the coordinated control of DERs …