The widespread deployment of advanced metering infrastructure has led to an increased
interest in data-driven power flow linearization (DPFL) methods. To date, substantial studies …

In recent years, subsynchronous control interaction (SSCI) has frequently taken place in
renewable-connected power systems. To counter this issue, utilities have been seeking …

This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a
domain gaining increased attention. DPFL stands out for its higher approximation accuracy …

Distribution power systems (DPSs) are generally unbalanced, and their loads may have
notable static voltage characteristics (ZIP loads). Hence, although many papers have …

This paper deals with a novel reduced sensor strategy, for two-stage single-phase grid
connected solar photovoltaic system with a battery, where the dc-link voltage sensor is not …

This paper proposes a fast and robust phase estimation algorithm (PEA), a counterpart of
the phase-locked loop (PLL), for heavily distorted grid conditions. The PEA, named as the …

The lithium-ion batteries of an electric vehicle belong to a high-voltage direct-current system.
The high-voltage insulation performance of electric vehicles is very important for their safe …

Grid-forming (GFM) converters are a promising solution to enable large scale integration of
renewable energy sources into the power system. However, due to the intrinsic voltage …

There are different strategies to improve the overall performance of the recursive least-
squares (RLS) adaptive filter. In this letter, we focus on the data-reuse approach, aiming to …

This paper proposes a repetitive learning-based phase locked loop (RLPLL) to improve
power quality of the grid-connected dc microgrids under distorted grid voltage in a weak …