Microgrids have the potential to support decarbonisation efforts in the electricity sector by
facilitating the incorporation of more renewable energy sources. However, the inconsistent …

In this article, an improved multiobjective ant colony optimization (ACO) algorithm is
proposed to design the weighting factors (WFs) in the model predictive control of power …

In this paper, a novel adaptive model predictive control (AMPC) algorithm is proposed for
proton exchange membrane fuel cells (PEMFCs) to improve its output power tracking …

Electricity bills typically account for a large proportion of industrial users' production costs.
Hybrid energy storage system (HESS), a high-performance energy storage method, has …

The hybrid energy storage system (HESS) technique is important to achieve power release
and recovery for the electric vehicles (EVs). This paper proposes an improved linear active …

In islanded DC microgrids, the negative impedance characteristics of constant power loads
(CPLs) usually introduce instability influences; on the contrary, hybrid energy-storage …

The estimation of feeder line losses plays a crucial guiding role in power system planning,
design, production technology, and management level of a distribution system. It is also …

The output power fluctuations from the wave energy converters (WECs) with a high peak-to-
average ratio need to be smoothed out before supplying power to electric loads or power …

DC microgrids (MGs) with hybrid energy storage systems (HESSs) are getting popular due
to their simple structures. The other notable benefit is extending the expensive battery's …

This research paper presents a novel long-horizon move-blocking based direct power
model predictive control (DPMPC) strategy, uniquely designed to enhance the dynamic …