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An eagle strategy arithmetic optimization algorithm for frequency stability enhancement considering high renewable power penetration and time-varying load
This study proposes a new optimization technique, known as the eagle strategy arithmetic
optimization algorithm (ESAOA), to address the limitations of the original algorithm called …
optimization algorithm (ESAOA), to address the limitations of the original algorithm called …
Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects
In modern power systems, conventional energy production units are being replaced by
clean and environmentally friendly renewable energy resources (RESs). Integrating RESs …
clean and environmentally friendly renewable energy resources (RESs). Integrating RESs …
[PDF][PDF] Design of photovoltaic system for public school building
The increase in energy needs to support sustainable development will trigger a large
additional power supply. Unfortunately, a current energy source is mostly produced by fossil …
additional power supply. Unfortunately, a current energy source is mostly produced by fossil …
[PDF][PDF] Comparative analysis of evolutionary-based maximum power point tracking for partial shaded photovoltaic
The characteristics of the photovoltaic module are affected by the level of solar irradiation
and the ambient temperature. These characteristics are depicted in a VP curve. In the VP …
and the ambient temperature. These characteristics are depicted in a VP curve. In the VP …
[PDF][PDF] Retired electric vehicle battery to reduce the load frequency control oscillation in the micro grid system
The potential of a retired electric vehicle battery (REVB) is its capacity to provide backup
power supply to the power system grid. This paper proposed energy storage system (ESS) …
power supply to the power system grid. This paper proposed energy storage system (ESS) …
[PDF][PDF] Advanced virtual inertia control against wind power intermittency
Rapid industrial development requires more energy to support their manufacturing
processes. Unfortunately, conventional energy was mostly utilized as a primary energy …
processes. Unfortunately, conventional energy was mostly utilized as a primary energy …
Smart DIPSS for dynamic stability enchancement on multi-machine power system
Disruption of the electric power system always results in instability. These disturbances can
be in the form of network breaks (transients) or load changes (dynamic). Changes in load …
be in the form of network breaks (transients) or load changes (dynamic). Changes in load …
[PDF][PDF] Adaptive virtual inertia controller based on machine learning for superconducting magnetic energy storage for dynamic response enhanced.
The goal of this paper was to create an adaptive virtual inertia controller (VIC) for
superconducting magnetic energy storage (SMES). An adaptive virtual inertia controller is …
superconducting magnetic energy storage (SMES). An adaptive virtual inertia controller is …
[PDF][PDF] Adaptive Controller of Bidirectional DC-DC Converter Based on Extreme Learning Machine for Electric Vehicle.
This paper proposed a novel adaptive controller of a non-isolated bidirectional coupled
inductor DC converter based on an extreme learning machine (ELM) for electric vehicles …
inductor DC converter based on an extreme learning machine (ELM) for electric vehicles …
[PDF][PDF] Retired Electric Vehicle Battery for Optimal Dynamic Economic Dispatch Against the Intermittent of Photovoltaic Power Output.
Recently, electric vehicles (EVs) have surged in demand to reduce greenhouse gas
emissions produced by gasoline cars. However, most EV batteries could not be utilized for …
emissions produced by gasoline cars. However, most EV batteries could not be utilized for …