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 …
(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
The reliability assessment of smart grid-integrated distributed power-generating
coordination is an operational measure to ensure appropriate system operational set-ups in …
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
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 …
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
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) …
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 …
Ghabawi territory, Amman, Jordan. The system is accomplished by assessing the system's …
Invertible neural networks for graph prediction
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 …
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 …
represented. In order to achieve the best results, all facilities should be considered …
Power System Reliability Assessment—A Review on Analysis and Evaluation Methods
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 …
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 …
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 …
emissions and for energy affordability and reliability. This study addresses these issues in …