Results 61 to 70 of about 24,092 (222)
We propose a decentralized Maximum Likelihood solution for estimating the stochastic renewable power generation and demand in single bus Direct Current (DC) MicroGrids (MGs), with high penetration of droop controlled power electronic converters.
Angjelichinoski, Marko +3 more
core +1 more source
Plug and Play DC-DC Converters for Smart DC Nanogrids with Advanced Control Ancillary Services [PDF]
This paper gives a general view of the control possibilities for dc-dc converters in dc nanogrids. A widely adopted control method is the droop control, which is able to achieve proportional load sharing among multiple sources and to stabilize the ...
Caldognetto, Tommaso +4 more
core +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
ObjectivesDC microgrids are prone to the issue of large-signal stability due to the low inertia and constant power load characteristics. Traditional model-based methods involve complex calculations and are difficult to solve.
LIU Sucheng +4 more
doaj +1 more source
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian +7 more
wiley +1 more source
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh +3 more
wiley +1 more source
This research explores the techno‐economic and environmental performance of fully renewable hybrid energy systems for rural electrification in Auchi, Nigeria. HOMER Pro is utilized to model and optimize PV/WT/Battery, PV/Battery, and WT/Battery configurations under identical conditions.
Ibrahim Seidu +7 more
wiley +1 more source
A fuzzy logic–based diagnostic framework for a reduced device count multilevel inverter to accurately detect and classify open‐circuit faults. ABSTRACT The reliable performance of multilevel inverters (MLIs) is critical to the advancement of power electronic systems used in renewable energy conversion, microgrid operation, and electric vehicle ...
Niraj Kumar Dewangan +4 more
wiley +1 more source
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source

