Evolutionary algorithm- based sliding mode control of a photovoltaic/battery system DOI
Jafar Tavoosi, Saeed Danyali, Mohammadamin Shirkhani

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111717 - 111717

Published: April 16, 2025

Language: Английский

A 3E comparative study to choose the best storage method for PV solar system for off-grid applications: Hydrogen or battery? DOI
Mohammad Hassan Shahverdian,

Fatemeh Soltanifar,

Ali Sohani

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 117, P. 116111 - 116111

Published: March 14, 2025

Language: Английский

Citations

1
Design of graphene and B12N12 nanobud: structural, electrical, optical properties and its potential application in ammonia sensing DOI
Hamid Reza Shamlouei,

Farzaneh Tahriri,

Abbas Dadkhah Tehrani

et al.

Optical and Quantum Electronics, Journal Year: 2025, Volume and Issue: 57(4)

Published: March 22, 2025

Language: Английский

Citations

0
A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy DOI Creative Commons
Man‐Wen Tian, Li Zhu,

Mohammad Hosein Sabzalian

et al.

Energy Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

ABSTRACT Despite direct current (DC) microgrids' benefits over alternating microgrids, these systems confront several difficulties. The instability brought on by constant power loads (CPLs) is one of the main challenges. Because their rising negative impedance characteristics, CPLs reduce system performance. This study looks at a DC microgrid that has photovoltaic (PV) battery grid connected to CPL. To tackle this challenge, disturbance observer and continuous‐time model predictive control based type‐3 fuzzy logic (T3‐FLSs) are applied bidirectional DC‐DC converter. Even in face load PV generation fluctuations, method aims regulate nonlinearity CPL preserve stability across broad operating range. A new learning scheme square root cubature Kalman filter developed for online deep identified T3‐FLS model. Finally, proposed strategy compared with conventional method, which demonstrates superiority suggested terms flexibility, reduced response time, improved stability. Tests were performed using variety circumstances, including variations load, assess system's All experiments simulation results MATLAB software. Simulation show network very good performance dynamic response, precise tracking, wide voltage fluctuations about 20%. algorithm significantly impacts energy efficiency stabilizing, enhancing adaptability changing conditions, disturbances, increasing renewable integration, reducing operational costs.

Language: Английский

Citations

0
Evolutionary algorithm- based sliding mode control of a photovoltaic/battery system DOI
Jafar Tavoosi, Saeed Danyali, Mohammadamin Shirkhani

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111717 - 111717

Published: April 16, 2025

Language: Английский

Citations

0