An efficient, robust optimization model for the unit commitment considering renewable uncertainty and pumped-storage hydropower

MA Nasab, M Zand, S Padmanaban… - Computers and …, 2022 - Elsevier
This paper presents a new model for allocating pumped-storage hydropower units in the unit
commitment program's next day's market. Because the market prices of the next day are …

Intelligent based hybrid renewable energy resources forecasting and real time power demand management system for resilient energy systems

M Amir, Zaheeruddin, A Haque - Science Progress, 2022 - journals.sagepub.com
The rapid growth of hybrid renewable Distributed Energy Resources (DERs) generation
possess various challenges with inaccurate forecast models in stochastic power systems …

[HTML][HTML] Application of an intelligent fuzzy logic based sliding mode controller for frequency stability analysis in a deregulated power system using OPAL-RT platform

B Begum, NK Jena, BK Sahu, P Ray, M Bajaj… - Energy Reports, 2024 - Elsevier
Owing to unpredicted power demand, integration of distributed generators and parametric
disparity in the system cause the power system more intricacy which in turn affects the …

[HTML][HTML] Multiple-input multiple-output Radial Basis Function Neural Network modeling and model predictive control of a biomass boiler

GK Alitasb, AO Salau - Energy Reports, 2024 - Elsevier
This study presents a model predictive control of a 4× 3 Multiple-Input Multiple-Output
(MIMO) biomass control system that uses radial basis function (RBF) as an activation …

[HTML][HTML] A chaotic search-based hybrid optimization technique for automatic load frequency control of a renewable energy integrated power system

N Sundararaju, A Vinayagam, V Veerasamy… - Sustainability, 2022 - mdpi.com
In this work, a chaotic search-based hybrid Sperm Swarm Optimized-Gravitational Search
Algorithm (CSSO-GSA) is proposed for automatic load frequency control (ALFC) of a hybrid …

Advantage of battery energy storage systems for assisting hydropower units to suppress the frequency fluctuations caused by wind power variations

C Feng, Z Mai, C Wu, Y Zheng, N Zhang - Journal of Energy Storage, 2024 - Elsevier
The integration of renewable energy sources into power grids has led to new challenges for
maintaining the frequency stability of power systems. Hydropower has traditionally played a …

[HTML][HTML] MPPT efficiency enhancement of a grid connected solar PV system using Finite Control set model predictive controller

AO Salau, GK Alitasb - Heliyon, 2024 - cell.com
Maximum power point tracking (MPPT) is required to get the highest possible power
generated from a photovoltaic (PV) cell. Numerous researchers have proposed different …

[HTML][HTML] A New Control Algorithm to Increase the Stability of Wind–Hydro Power Plants in Isolated Systems: El Hierro as a Case Study

A Marrero, J González, JA Carta, P Cabrera - Journal of Marine Science …, 2023 - mdpi.com
The present paper proposes the implementation of a new algorithm for the control of the
speed regulators of Pelton wheel turbines, used in many of the pumped hydroelectric energy …

[PDF][PDF] Highly efficient MPP tracker based on adaptive neuro-fuzzy inference system for stand-alone photovoltaic generator system

MH Osman, MAE Seify, MK Ahmed… - … Journal of Renewable …, 2022 - researchgate.net
Maximum Power Point Tracking (MPPT) methods are being developed to increase the
power delivered by the photovoltaic (PV) systems. Recently, AI-based MPPT controllers …

A multi-branch redundant adversarial net for intelligent fault diagnosis of multiple components under drastically variable speeds

Z Shi, X Liu, J Chen, Y Zi, Z Zhou - ISA transactions, 2022 - Elsevier
Intelligent fault diagnosis with small training samples plays an important role in the safety of
mechanical equipment. However, affected by sharp speed variation, fault feature is …