Optimal radial distribution network reconfiguration based on multi objective differential evolution algorithm

Tiguercha, Ahmed; Ladjici, Ahmed Amine; Boudour, Mohamed

doi:10.1109/ptc.2017.7980932

Cited by 9 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research effort in [12], shows that the genetic algorithm is providing optimal results for sizing the distributed generation. Among them, particle swarm optimization (PSO) and differential evolution algorithm (DEA) are becoming more favorable due to simple modeling, fast calculation, and higher robustness than other algorithms [13,14]. Even though PSO and DEA have advantages, they also have a handicap in terms of convergence in local optimal too quickly in PSO and some DEA mutation problems [15,16].…”

Section: Corresponding Authormentioning

confidence: 99%

Speed Controller Design using Hybrid Differential Evolution Algorithm-Particle Swarm Optimization for PSMS

Setiawan

Setiadi

Indrawan

et al. 2022

JATM

View full text Add to dashboard Cite

The use of engines that motorized the world based on fossil fuel sources has led to many problems, such as air pollution, energy security, global warming, and climate change. To prevent further damage reducing the application of fossil fuel as a source of the motor is crucial. Hence, utilizing an electric motor could be the solution to reduce the application of motors based on fossil fuel. Among the number of electric motors, permanent magnet synchronous motor (PSMS) is becoming more popular due to their efficiency. However, the challenge here is how to design the controller of PSMS, especially the speed controller. Hence, this paper proposed a design of a speed controller of PSMS using a PI controller. The hybrid differential evolution algorithm-particle swarm optimization (DEA-PSO) is used to optimize the PI controller for better performance. From the simulation result, it is found that the proposed method can enhance the performance of PSMS.

show abstract

Section: Corresponding Authormentioning

confidence: 99%

Speed Controller Design using Hybrid Differential Evolution Algorithm-Particle Swarm Optimization for PSMS

Setiawan

Setiadi

Indrawan

et al. 2022

JATM

View full text Add to dashboard Cite

show abstract

“…Those types are firefly algorithm, ant colony optimization, harmony search algorithm, particle swarm optimization and differential evolution [7]. Among them particle swarm (PSO) and differential evolution (DE) are becoming more popular due to a simple concept, easy implementation, fast calculation, efficient memory utilization than other algorithms [8,9].…”

Section: Introductionmentioning

confidence: 99%

Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Setiadi¹,

Mithulananthan²,

Krismanto³

et al. 2019

ijeei

View full text Add to dashboard Cite

This paper proposes a method to enhance the small signal stability performance of power system considering high RESs penetration. A hybrid differential evolution-particle swarm optimization (DE-PSO) is used to design and tune DIPSS parameters. Eigenvalue, damping performance, and time domain simulation are thoroughly investigated to analyze the system performance using DIPSS based on hybrid DE-PSO and find how much RESs penetration level can be considered. From the simulation results, it is found that by utilizing DIPSS based on hybrid DE-PSO can enhance the small signal stability performance of power system with significant penetration of RESs.

show abstract

Network reconfiguration to allocate open points in distribution networks using soft computing

El-Fergany

2024

Energy Efficiency of Modern Power and Energy Systems

View full text Add to dashboard Cite

Optimal radial distribution network reconfiguration based on multi objective differential evolution algorithm

Cited by 9 publications

References 17 publications

Speed Controller Design using Hybrid Differential Evolution Algorithm-Particle Swarm Optimization for PSMS

Speed Controller Design using Hybrid Differential Evolution Algorithm-Particle Swarm Optimization for PSMS

Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Network reconfiguration to allocate open points in distribution networks using soft computing

Contact Info

Product

Resources

About