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Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states ...
Electric vehicles charging management using machine learning considering fast charging and vehicle-to-grid operation
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MDPI
, 2021 , Article)
Electric vehicles (EVs) have gained in popularity over the years. The charging of a high number of EVs harms the distribution system. As a result, increased transformer overloads, power losses, and voltage fluctuations may ...
General Classification and Comprehensive Performance Assessment of Multi-Objective DC Voltage Control in Multi-Terminal HVDC Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The recent massive global movement towards green energy in power systems has raised the efforts of integrating large-scale Renewable Energy Sources (RESs) through Multi-Terminal HVDC (MTDC) systems. The configuration of ...
A generalized approach for design of contingency versatile DC voltage droop control in multi-terminal HVDC networks
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Elsevier Ltd
, 2021 , Article)
The non-deterministic nature of power fluctuations in renewable energy sources impose challenges to the design of DC voltage-droop controller in Multi-Terminal High-Voltage DC (MTDC) systems. Fixed droop control does not ...
Multi-terminal Hvdc system with offshore wind farms under anomalous conditions: Stability assessment
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Droop control is widely adopted to control Multi-Terminal high-voltage Direct Current (MTDC) systems with offshore wind farms. During permanent faults, the faulty line should be isolated promptly to preserve a high reliability ...
A multi-objective optimization for planning of networked microgrid using a game theory for peer-to-peer energy trading scheme
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John Wiley and Sons Inc
, 2021 , Article)
In this paper, a multi-objective optimization technique is proposed for the planning of a networked microgrid based on peer-to-grid (P2G) and peer-to-peer (P2P) energy trading schemes. Two different criteria's including ...
Performance enhancement of self-cleaning hydrophobic nanocoated photovoltaic panels in a dusty environment
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MDPI
, 2021 , Article)
The efficiency of a photovoltaic (PV) panels drops significantly in dusty environments. The variation in temperature could have a substantial impact on PV panel cells, which could further lead to high deterioration and ...
Development of a three-phase interleaved converter based on SEPIC DC-DC converter operating in discontinuous conduction mode for ultra-fast electric vehicle charging stations
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John Wiley and Sons Inc
, 2021 , Article)
One of the main challenges that impact transportation systems electrification is their batteries' charging process. This work presents the development of a three-phase ultra-fast Electric Vehicle (EV) charger based on the ...
A modular multilevel DC-DC converter with self-energy equalization for DC grids
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John Wiley and Sons Inc
, 2021 , Article)
Medium-/High Voltage DC grids are interesting for the integration of renewable energy sources. DC-DC conversion systems are highly needed for the development of DC grids. Recently, Modular Multilevel Converter (MMC) is the ...
Techno-economic and environmental assessment of the hybrid energy system considering electric and thermal loads
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MDPI
, 2021 , Article)
Optimal sizing of hybrid energy systems has been considerably investigated in previous studies. Nevertheless, most studies only focused on providing AC electric loads by renewable energy sources (RESs) and energy storage ...