A tutorial and review discussion of modulation, control and tuning of high-performance dc-dc converters based on small-signal and large-signal approaches

S Kapat, PT Krein - IEEE Open Journal of Power Electronics, 2020 - ieeexplore.ieee.org
Many commercial controller implementations for dc-dc converters are based on pulse-width
modulation (PWM) and small-signal analysis. Increasing switching frequencies, linked in …

Quantitative model and metrics of electrical grids' resilience evaluated at a power distribution level

A Kwasinski - Energies, 2016 - mdpi.com
This paper presents a framework to systematically measure and assess power grids'
resilience with a focus on performance as perceived by customers at the power distribution …

Control analysis of parallel DC-DC converters in a DC microgrid with constant power loads

M Srinivasan, A Kwasinski - International Journal of Electrical Power & …, 2020 - Elsevier
This paper proposes a general methodology for designing hierarchical control schemes for
DC microgrids loaded by constant power loads. This paper addresses issues when …

An adaptive model predictive controller for current sensorless MPPT in PV systems

M Metry, RS Balog - IEEE Open Journal of Power Electronics, 2020 - ieeexplore.ieee.org
Finite control set model predictive control (MPC) is a model-based control method that can
include multi-objective optimization, constrained control, adaptive control, and online auto …

Dynamics of an integrated solar photovoltaic and battery storage nanogrid for electric vehicle charging

L Novoa, J Brouwer - Journal of Power Sources, 2018 - Elsevier
In this paper, the performance of a renewable Solar Photovoltaic (PV) nanogrid—here
defined as a small-scale power system, which comprises a single domain for control …

Reinforcement learning for control of flexibility providers in a residential microgrid

BV Mbuwir, D Geysen, F Spiessens… - IET Smart Grid, 2020 - Wiley Online Library
The smart grid paradigm and the development of smart meters have led to the availability of
large volumes of data. This data is expected to assist in power system planning/operation …

Adaptive model predictive controller to reduce switching losses for a capacitor-less D-STATCOM

W Rohouma, M Metry, RS Balog… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
In the post-industrial digital-economy, motors powering manufacturing have been replaced
by computers powering ecommerce-with significant financial losses attributable to poor …

Algorithms for bidding strategies in local energy markets: Exhaustive search through parallel computing and metaheuristic optimization

A Angulo, D Rodríguez, W Garzón, DF Gómez… - Algorithms, 2021 - mdpi.com
The integration of different energy resources from traditional power systems presents new
challenges for real-time implementation and operation. In the last decade, a way has been …

Inverter-based modeling and energy efficiency analysis of off-grid hybrid power system in distributed generation

AN Akpolat, E Dursun, P Siano - Computers & Electrical Engineering, 2021 - Elsevier
Distributed Generation systems are made up of different power generation systems, which
are wind turbines, solar panels, fuel cells, energy storage units, micro turbines, and …

Current control of a three-phase, grid-connected inverter in the presence of unknown grid parameters without a phase-locked loop

M Alqatamin, J Latham, ZT Smith… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Three-phase inverters for grid-connected applications typically require some form of grid
voltage phase detection in order to properly synchronize to the grid and control real and …