Minh Phuc Duong

ORCID: 0000-0003-3949-8603
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Water-Energy-Food Nexus Studies
  • Electric and Hybrid Vehicle Technologies
  • Electric Power System Optimization
  • Power System Optimization and Stability
  • Advanced Battery Technologies Research
  • Energy Load and Power Forecasting
  • Frequency Control in Power Systems
  • Water resources management and optimization

Ton Duc Thang University
2023-2025

Tân Tạo University
2024

The study applies the black kite algorithm (BKA), equilibrium optimizer (EO), and secretary bird optimization (SBOA) to optimize placement of electric vehicle charge stations (EVCSs), wind turbine (WTSs), photovoltaic units (PVUs), capacitor banks (CAPBs) in IEEE 69-node distribution power grid. Three single objectives, including loss minimization, grid total voltage deviation improvement, are considered. For each objective function, five scenarios simulated under one operation hour, (1)...

10.3390/su17010376 article EN Sustainability 2025-01-06

Abstract This article introduces a novel approach named HBA‐dHoSMO, which combines continuous decentralized higher‐order sliding mode controller‐based observer (dHoSMO) with the honey badger algorithm (HBA), specifically designed for load frequency control in multi‐area power systems (MAPSs). Traditional controllers (SMCs) employed of MAPSs often face challenges related to chattering and oscillations, leading decreased robustness stability. Additionally, tuning parameters these SMC designs...

10.1049/gtd2.13077 article EN cc-by IET Generation Transmission & Distribution 2024-01-16

This research proposes a strategy to minimize the active power loss in standard IEEE 85-node radial distribution grid by optimizing placement of wind turbines grid. The osprey optimization algorithm (OOA) and walrus (WOA) are implemented solve problem. two algorithms validated three study cases placing (WTs) system for reduction. Mainly, Case 1, WTs can only produce power, while 2 3, supply both reactive with different ranges factors. In 4, best-applied methods between reapplied reach...

10.3390/app14041462 article EN cc-by Applied Sciences 2024-02-10

This paper applies the Chameleon Swarm Algorithm (CSA) and Snow Geese (SGA) for optimizing placement of electric vehicle charge stations (EVCSs), renewable energy sources (RESs), shunt capacitors (SCs). The actual power ranges EVCSs Vinfast company in Vietnam are used to check stabilization IEEE 85-node distribution grid by considering four penetration levels EVCSs, namely 25%, 50%, 75%, 100%. All violate operating load voltage limits, cannot work all levels. Different scenarios performed...

10.3390/s25071997 article EN cc-by Sensors 2025-03-22

This research presents the implementation of a modern meta-heuristic algorithm called skill optimization (SOA) to solve optimal power flow problem (OPF). An IEEE 30-bus transmission system is selected test real performance SOA. The main objective function study minimize total fuel cost (TFC) all thermal units. To clarify high SOA, classical named particle swarm (PSO) also applied for comparison. All results reached by SOA are compared with those PSO on different criteria. Particularly, has...

10.11591/eei.v13i1.5280 article EN Bulletin of Electrical Engineering and Informatics 2023-12-13

This paper examines the effectiveness of a pumped storage hydropower plant (PSHP) when combined with other plants. System 1 contribution PSHP to reducing fuel costs for thermal power 2 optimization operations systems energy and uncertain renewable energies maximize total profit based on four test system cases: Case 1: neglect consider wind solar certainty; 2: 3: uncertainty; 4: uncertainty. Cases focus that assume stable outputs from these sources, while 3 4 uncertainty surrounding their...

10.3390/en17246323 article EN cc-by Energies 2024-12-15
Coming Soon ...