A5018426724- Electric Power System Optimization
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- Metaheuristic Optimization Algorithms Research
- Power Systems and Renewable Energy
- Advanced Multi-Objective Optimization Algorithms
- Power System Optimization and Stability
- Integrated Energy Systems Optimization
- Islanding Detection in Power Systems
- Distributed Control Multi-Agent Systems
- Water-Energy-Food Nexus Studies
- Control and Dynamics of Mobile Robots
- Blockchain Technology Applications and Security
- Robotic Path Planning Algorithms
- Power Systems and Technologies
- Water resources management and optimization
- Municipal Solid Waste Management
- Microplastics and Plastic Pollution
- Traffic control and management
- Cloud Computing and Resource Management
- Autonomous Vehicle Technology and Safety
- Electric Vehicles and Infrastructure
- Recycling and Waste Management Techniques
Ton Duc Thang University
2016-2025
Hanoi University of Natural Resources and Environment
2021-2024
VNU University of Science
2019-2024
Ho Chi Minh City University of Technology and Education
2014-2023
Hanoi University of Science and Technology
2018-2021
Technische Universität Berlin
2020
Vietnam National University, Hanoi
2019
Ho Chi Minh City University of Technology
2014-2016
The University of Melbourne
2012
This paper presents an effective biogeography-based optimization (BBO) for optimal location and sizing of solar photovoltaic distributed generation (PVDG) units to reduce power losses while maintaining voltage profile harmonic distortion at the limits. applied algorithm was motivated by biogeography, that study distribution biological species through time space. technique is able expand searching space retain good solution group each generation. Therefore, method can significantly improve...
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)...
Abstract The study optimizes the placement of electric vehicle charging stations (EVCSs), photovoltaic power plants (PVPPs), wind turbine (WTPPs), battery energy storage system (BESS), and capacitor bank (CB), considering AC DC chargers for EVCSs by using wave search algorithm (WSA), particle swarm optimization (PSO) algorithm, artificial bee colony (ABC) salp (SSA). objective is to minimize sum cost supplied grid total costs from added components a 15‐year project, including investment...
The International Roughness Index (IRI) is the one of most important roughness indexes to quantify road surface roughness. In this paper, we propose a new hybrid approach between adaptive network based fuzzy inference system (ANFIS) and various meta-heuristic optimizations such as genetic algorithm (GA), particle swarm optimization (PSO), firefly (FA) develop several models namely GA ANGIS (GANFIS), PSO ANFIS (PSOANFIS), FA (FAANFIS), respectively, for prediction IRI. A benchmark model named...
In this paper, a novel improved Antlion optimization algorithm (IALO) has been proposed for solving three different IEEE power systems of optimal reactive dispatch (ORPD) problem. Such with set constraints in transmission networks such as voltage limitation all buses, limitations tap transformers, maximum conductors and capacitor banks have given big challenge global solution search ability the method. The IALO method developed by modifying new generation technique standard antlion (ALO). By...
Electricity demand has been growing due to the increase in world population and higher energy usage per capita as compared past. As a result, various methods have proposed efficiency of power systems terms mitigating congestion minimizing losses. Power grids operating limitations result that specifies final capacity system, which decreases conventional capabilities between coverage areas. Flexible AC Transmission Systems (FACTS) can help decrease flows heavily loaded lines lead loadability...
In this paper, stochastic fractal search method (SFS) is employed for solving the optimal reactive power flow (ORPF) problem with a target of optimizing total active losses (TPL), voltage deviation (VD), and stability index (VSI). SFS an effective metaheuristic algorithm consisting diffusion process two update processes. ORPF complex giving challenges to applied algorithms by taking into account many constraints such as operating from generators loads, generation generators, limit...
This paper presents a new method based on coyote algorithm (COA) which is inspired from the social life of coyotes for problem simultaneous network reconfiguration and distributed generation (DG) placement to reduce real power loss. The effectiveness proposed COA has been evaluated two distribution systems consisting 69-node 119-node at scenarios only DG placement. result analysis indicated that combination with optimization location size (DGs) more effective loss reduction than only. About...
This paper presents a novel improved firefly algorithm (IFA) to deal the problem of optimal operation thermal generating units (OOTGU) with purpose reducing total electricity generation fuel cost. The proposed IFA is developed based on combining three improvements. first be radius between two solutions, second updated step size for each considered solution different new equations, and third slightly modify formula producing solutions by using normally distributed random numbers canceling...
This paper applies a proposed modified stochastic fractal search algorithm (MSFS) for dealing with all constraints of optimal reactive power dispatch (ORPD) and finding solutions three different cases including loss optimization, voltage deviation L‐index optimization. The MSFS method is newly constructed in the by modifying new solution update mechanisms on standard (SSFS). first modification to keep only one formula abandon diffusion process while second third are used update. In two...