Hybrid renewable energy systems' optimisation. a review and extended comparison of the most-used software tools

KA Kavadias, P Triantafyllou - Energies, 2021 - mdpi.com
To help stakeholders plan, research, and develop Hybrid Renewable Energy Systems
(HRES), the elaboration of numerous modelling techniques and software simulation tools …

Artificial intelligence methodologies in smart grid-integrated doubly fed induction generator design optimization and reliability assessment: A review

RK Behara, AK Saha - Energies, 2022 - mdpi.com
The reliability assessment of smart grid-integrated distributed power-generating
coordination is an operational measure to ensure appropriate system operational set-ups in …

Towards renewables development: Review of optimization techniques for energy storage and hybrid renewable energy systems

O Bamisile, D Cai, H Adun, M Dagbasi, CC Ukwuoma… - Heliyon, 2024 - cell.com
As global energy demand and global warming effect increase, there is a need to transition to
sustainable and renewable energy sources. Integrating different systems to create a hybrid …

A blended approach to improve reliability and efficiency of active EDN via dynamic feeder reconfiguration, demand response, and VVO

V Vijayan, A Mohapatra, SN Singh… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Demand Response (DR), along with the Volt-Var Optimization (VVO), can be effectively
utilized to reduce the loss and unbalances in an Electric Distribution Network (EDN) …

Optimal allocation of a hybrid photovoltaic biogas energy system using multi-objective feasibility enhanced particle swarm algorithm

HMK Al-Masri, AA Al-Sharqi, SK Magableh… - Sustainability, 2022 - mdpi.com
This paper aims to investigate a hybrid photovoltaic (PV) biogas on-grid energy system in Al-
Ghabawi territory, Amman, Jordan. The system is accomplished by assessing the system's …

Invertible neural networks for graph prediction

C Xu, X Cheng, Y Xie - IEEE Journal on Selected Areas in …, 2022 - ieeexplore.ieee.org
Graph prediction problems prevail in data analysis and machine learning. The inverse
prediction problem, namely to infer input data from given output labels, is of emerging …

Power network-planning optimization considering average power not supplied reliability index: Modified by chance-constrained programming

F Ghayoor, SF Ghannadpour, A Zaboli - Computers & Industrial …, 2022 - Elsevier
In this paper, a mixed-integer linear formulation for optimization multi-stage power system is
represented. In order to achieve the best results, all facilities should be considered …

Power System Reliability Assessment—A Review on Analysis and Evaluation Methods

S Garip, Ş Özdemir, N Altın - Journal of Energy Systems, 2022 - dergipark.org.tr
The structures of power systems and their capacity have been updated significantly from
time to time. Therefore, a reliability analysis is an essential issue in the planning, designing …

[HTML][HTML] Probabilistic analysis of the mesh load factor in wind-turbine planetary transmissions: Tooth thickness errors

A Diez-Ibarbia, J Sanchez-Espiga… - … and Machine Theory, 2023 - Elsevier
This manuscript presents a probabilistic analysis of the mesh load factor in planetary
transmissions destined to the wind-turbine industry. This work main goal is to stochastically …

Technical design and optimal energy management of a hybrid photovoltaic biogas energy system using multi‐objective grey wolf optimisation

HMK Al‐Masri, AA Al‐Sharqi - IET Renewable Power …, 2020 - Wiley Online Library
Renewable energy is the eventual objective for alleviating greenhouse gas (GHG)
emissions and for energy affordability and reliability. This study addresses these issues in …