لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
سی و چهارمین کنفرانس بین المللی مهندسی برق
Techno-Economic Planning of Vehicle-to-Grid enabled Charging Stations in Renewable-Energy Integrated Distribution Networks
نویسندگان :
Farough Mansournia
1
Tohid Ghanizadeh Bolandi
2
Sajjad Golshannavaz
3
Fardin Hasanzad
4
1- Urmia University
2- Urmia University
3- Urmia University
4- Urmia University
کلمات کلیدی :
Distribution network،Vehicle-to-Grid enabled charging stations،Distributed generation resources،Renewable energy،Energy storage system
چکیده :
The integration of Vehicle-to-Grid-enabled charging stations (V2G-CS), along with distributed generation (DG) units and energy storage systems (ESS), offers a substantial opportunity to enhance the techno-economic performance of modern distribution networks. This paper presents a comprehensive multi-objective optimization (MOO) framework for the coordinated planning of these resources, aiming to simultaneously improve both grid operational performance and economic efficiency. The proposed model minimizes active power losses, total voltage deviation, and overall operational costs, employing the bargaining method as a normalization technique to appropriately balance the conflicting objectives. A scenario-based optimization problem is formulated as a Mixed-Integer Nonlinear Programming (MINLP) model, in which wind speed, solar irradiation, and electrical demand are treated as uncertain parameters. The framework is validated on the IEEE 33-bus distribution network under three deployment scenarios. Simulation results indicate a 62.5% reduction in active power losses, a 29.9% decrease in operational costs, and a 28.1% improvement in voltage deviation compared with the base case. These findings highlight the effectiveness of the proposed approach and provide system operators with a practical tool to enhance both network stability and economic performance.
لیست مقالات
لیست مقالات بایگانی شده
Optimal D2D Resource Allocation in Heterogeneous Cellular Networks by Decentralized Multi-Agent Deep Q-Learning
Pouya Akhoundzadeh - Ghasem Mirjalily - Mohammad taghi Sadeghi
Accurate Methods for Automatic Detection of Characteristic Points in Electrocardiograms
Seyedeh Mersedeh Bagheri - Mohammad Pooyan
Observer-Based Control for impulsive switched systems with Uncertain inputs
Soheil Sheikh ahmadi - Farzad Hashemzadeh - Mohammad Ali Badamchizadeh
Contextual and Spectral Feature Fusion Using Local Binary Graph for Hyperspectral Images Classification
Zahra Farmahini Farahani - Hassan Ghassemian - Maryam Imani
Multi-Machine Traction Drive Based on Parallel Connected Synchronous Machines
Hassan Mohammadi Pirouz
Establishment of a Virtual Power Plant in Grid for Maximizing Producers' Profits and Minimizing Pollutant Emissions and Investment Costs
Amir Hossein Gholami - Amir Abulfazl Suratgar - Mohammad Bagher Menhaj - Mohammad Reza Hesamzadeh
Interval-Based Setting Approach for Distance Relays Considering Uncertainties Using Monte Carlo Simulation
Abolfazl Hadadi - Mohammad Javad Jalilian - Behrooz Vahidi - Gholam Hossein Riahy Dehkordi
E-RESO: An Enhanced Time Redundancy-based Error Detection Approach for Arithmetic Operations
Sina Shahoveisi - Athena Abdi
Stochastic model predictive control based on online learning for a class of nonlinear constrained systems
Mahdi Mansoury - Mohammad Ali Badamchizadeh - Hamed Kharrati
یک روش اقتصادی برای تعیین مکان بهینه ریکلوزرها در فیدرهای توزیع شعاعی با هدف بهبود قابلیت اطمینان
محمودرضا شاکرمی - میثم دوستی زاده - هومن بسطامی - مهران امیری - ابراهیم شریفی پور - شمس الدین کمالوند
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2