This paper describes two kinds of decentralized economic dispatch framework for the
coordinated operation of multi-microgrids in a distribution network. Considering the high …

Existing circuits for composite optimization problems tend to ignore the structure of
nonsmooth objectives and lead to less practicability. To this end, with a proximal projection …

Interconnected microgrids can enable mutual power support among microgrids (MGs) and
improves the utilization of renewable energy sources, especially for CCHP-based …

This paper addresses the joint optimization problem of the distribution network (DN) and
novel battery charging and swap** (NBCSS) under multi-entities and uncertainties. A …

Because microgrids have relatively high share of renewable energy sources and energy
storage systems (ESSs) compared with existing large-scale power systems, the inter …

In this paper, for a class of nonlinear cyber-physical systems (CPSs), the problem of
adaptive security control for false data injection (FDI) attacks on the sensor and actuator is …

Under the smart grid paradigm, distribution systems with large penetrations of photovoltaic-
based power generation are called to optimize their operational resources to achieve a …

Nonlinear estimation using maximum-likelihood estimation and maximum a posterior
probability approaches is frequently employed for large-scale cyber-physical and complex …

The mutual optimization of a multi-microgrid integrated energy system (MMIES) can
effectively improve the overall economic and environmental benefits, contributing to …

Interconnected microgrids or a microgrid cluster (MGC) can enable mutual power support
among microgrids and can improve the utilization of renewable energy sources. However …