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Machine learning-based management of electric vehicles charging: Towards highly-dispersed fast chargers
(
MDPI AG
, 2020 , Article)
Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the ...
Economic Energy Allocation of Conventional and Large-Scale PV Power Plants
(
MDPI
, 2022 , Article)
During the past few decades, rapid progress in reducing the cost of photovoltaic (PV) energy has been achieved. At the megawatt (MW) to gigawatt (GW) scale, large PV systems are connected to the electricity grid to provide ...
Comprehensive Review of KY Converter Topologies, Modulation and Control Approaches with their Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
In the current scenario, the challenging task of designing a DC-DC converter has high voltage gain and small output ripple waves, which researchers deal with in highly complicated Because of its topological and continuous ...
Hybrid multimodule DC-DC converters for ultrafast electric vehicle chargers
(
MDPI AGhttp://dx.doi.org/10.3390/en13184949
, 2020 , Article)
To increase the adoption of electric vehicles (EVs), significant efforts in terms of reducing the charging time are required. Consequently, ultrafast charging (UFC) stations require extensive investigation, particularly ...
A generalized approach for design of contingency versatile DC voltage droop control in multi-terminal HVDC networks
(
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 ...
Enhancement of the HILOMOT Algorithm with Modified EM and Modified PSO Algorithms for Nonlinear Systems Identification
(
MDPI
, 2022 , Article)
Developing a mathematical model has become an inevitable need in studies of all disciplines. With advancements in technology, there is an emerging need to develop complex mathematical models. System identification is a ...
Optimal power flow in multi-terminal HVDC networks with embedded high-power DC-DC converters for voltage matching and flexible DC transmission
(
Institution of Engineering and Technology
, 2020 , Article)
High-power DC-DC converters are integrated into multi-terminal high-voltage DC (MTDC) networks, typically for voltage matching or flexible DC transmission. This study addresses droop-controlled radial and mesh MTDC networks ...
Multi-terminal Hvdc system with offshore wind farms under anomalous conditions: Stability assessment
(
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
(
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 ...
Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid
(
Elsevier Ltd
, 2022 , Article)
The optimized design of a freestanding hybrid microgrid for various distinct dispatch controls is assessed in this paper, which considers the optimal sizes of individual components, system response, and reliability analysis. ...