The aim of this paper is the design and implementation of an advanced model predictive
control (MPC) strategy for the management of a wind–solar microgrid (MG) both in the …

Extensive research has been conducted on protecting alternating current (AC) power
systems, resulting in many sophisticated protection methods and schemes. On the other …

The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and
environmental issues. Integrating a large number of PHEVs with advanced control and …

Demand-side management (DSM) schemes play a crucial role in managing renewable
energy generation and load fluctuations by utilizing demand–response programmes …

The issues of energy scarcity and environmental harm have become major priorities for both
business and human progress. Hence, it is important and useful to focus on renewable …

In recent years, extreme focus on renewable energy has intensified due to environmental
concerns and the depletion of fossil fuel supplies. In a DC microgrid that includes AC grid …

Controlling flexible hybrid microgrids (MGs) is difficult due to the system's complexity, which
includes multiple energy sources, storage devices, and loads. Although adding new …

To tackle the challenges associated with variability and uncertainty in distributed power
generation, as well as the complexities of solving high-dimensional energy management …

Switched model predictive control (S-MPC) and recurrent neural networks with long short-
term memory (RNN-LSTM) are powerful control methods that have been extensively studied …

Featured Application This work introduces a Fuzzy-Type-2 controller to address the issue of
the low-power factor operation of microgrids. The power factor is an essential index for …