An eagle strategy arithmetic optimization algorithm for frequency stability enhancement considering high renewable power penetration and time-varying load

AHA Elkasem, S Kamel, MH Hassan, M Khamies… - Mathematics, 2022 - mdpi.com
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 …

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

MA Shobug, NA Chowdhury, MA Hossain, MJ Sanjari… - Energies, 2024 - mdpi.com
In modern power systems, conventional energy production units are being replaced by
clean and environmentally friendly renewable energy resources (RESs). Integrating RESs …

[PDF][PDF] Design of photovoltaic system for public school building

M Abdillah, FM Satria, NI Pertiwi… - Indonesian Journal of …, 2023 - academia.edu
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 …

[PDF][PDF] Comparative analysis of evolutionary-based maximum power point tracking for partial shaded photovoltaic

P Megantoro, HFA Kusuma, LJ Awalin, Y Afif… - International Journal of …, 2022 - academia.edu
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 …

[PDF][PDF] Retired electric vehicle battery to reduce the load frequency control oscillation in the micro grid system

M Abdillah, RH Pratama, NI Pertiwi… - Indonesian Journal of …, 2022 - academia.edu
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) …

[PDF][PDF] Advanced virtual inertia control against wind power intermittency

M Abdillah, S Andi, TA Nugroho… - Indonesian Journal of …, 2022 - academia.edu
Rapid industrial development requires more energy to support their manufacturing
processes. Unfortunately, conventional energy was mostly utilized as a primary energy …

Smart DIPSS for dynamic stability enchancement on multi-machine power system

H Setiadi, F Arrazi, M Abdillah… - Indonesian Journal of …, 2022 - section.iaesonline.com
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 …

[PDF][PDF] Adaptive virtual inertia controller based on machine learning for superconducting magnetic energy storage for dynamic response enhanced.

H Setiadi, M Abdillah, Y Afif, R Delfianti - International Journal of …, 2023 - core.ac.uk
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 …

[PDF][PDF] Adaptive Controller of Bidirectional DC-DC Converter Based on Extreme Learning Machine for Electric Vehicle.

Y Afif, H Setiadi, M Abdillah - International Journal of Intelligent …, 2022 - researchgate.net
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 …

[PDF][PDF] Retired Electric Vehicle Battery for Optimal Dynamic Economic Dispatch Against the Intermittent of Photovoltaic Power Output.

M Abdillah, S Prabaningtyas… - International Journal of …, 2022 - researchgate.net
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 …