[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Social Network Membership
Linkedin
Researchgate
..
Indexing Databases
..
DOI
کلیک کنید
..
ِDOR
..
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Search published articles ::
Showing 1 results for Pso Optimization Algorithm

Alireza Kashki, Azita Azarfar, Mahmoud Samiei Moghaddam, Reza Davarzani, Nasrin Salehi,
Volume 13, Issue 2 (7-2024)
Abstract

The proliferation of electric vehicles (EVs) presents both a significant challenge and opportunity for the energy sector. This study proposes a novel approach to optimizing EV charging in smart stations, considering its impact on the distribution network. Using the Particle Swarm Optimization (PSO) algorithm, we address the complex optimization problem of balancing EV charging demands with network constraints. Navigating the complexities of energy management in the distribution network, including renewable resources and dynamic demand, is challenging. We introduce a sophisticated optimization model designed for network operations, featuring precise formulations for energy management. This model optimizes battery usage, EV energy management, compensator utilization, and distributed generation distribution. Through extensive simulations, we demonstrate the effectiveness of this approach in minimizing charging costs, reducing network congestion, and enhancing overall system performance. The multi-objective performance minimizes energy losses, electricity purchases, load reduction, distributed generation, and battery/EV costs over 24 hours. Simulations confirm a significant reduction in the operational costs of the distribution network. This research highlights the potential of advanced optimization techniques in smart charging infrastructure to facilitate widespread EV adoption while ensuring network reliability and efficiency. Incorporating EVs into the system results in significant improvements in performance indices compared to scenarios without electric vehicles. The results indicate a 14% reduction in the objective function value, with a notable 60% reduction in energy purchases and a 40% decrease in energy losses. Additionally, load reduction decreases by approximately 60%, while voltage deviation reduces by around 20%. Importantly, no reduction in PV or WD is observed with EV integration, indicating its compatibility with renewable energy generation profiles and emphasizing its potential to enhance system efficiency, reliability, and sustainability.
 

Page 1 from 1     

نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
Persian site map - English site map - Created in 0.04 seconds with 29 queries by YEKTAWEB 4714