کنفرانس مهندسی برق ایران

صفحه اصلی / سی و چهارمین کنفرانس بین المللی مهندسی برق

Fuzzy Multi-Objective Optimization of Renewable DG and V2G Siting and Operation in Reconfigurable Distribution Networks

نویسندگان :

Farough Mansournia¹ Tohid Ghanizadeh Bolandi² Sajjad Golshannavaz³ Fardin Hasanzad⁴

1- Urmia University 2- Urmia University 3- Urmia University 4- Urmia University

کلمات کلیدی :

Renewable DG،Vehicle-to-Grid charging stations،Reconfiguration،Fuzzy multi objective optimization،Emissions

چکیده :

The integration of renewable Distributed Generation (DG) and Vehicle-to-Grid (V2G) technology in reconfigurable distribution networks offers a promising solution for improving system efficiency and sustainability. This paper presents a Fuzzy Multi-Objective Optimization (FMOO) framework for the optimal siting and operation of renewable DG units and V2G charging stations in a reconfigurable 33-bus distribution network. The proposed Mixed-Integer Nonlinear Programming (MINLP) model simultaneously minimizes voltage deviation, operational costs, and pollutant emissions while accounting for uncertainties in renewable generation and load demand through a fuzzy multi-criteria decision-making approach with interval tolerance. Simulation results demonstrate significant improvements over the base case, including reductions of 49.16% in voltage deviation, 48.20% in operational costs, and 49.68% in total emissions. The results confirm that coordinated network reconfiguration and V2G-enabled energy management enhance voltage stability, increase renewable DG penetration, and improve the overall techno-economic and environmental performance of the distribution system. These findings emphasize the critical role of optimized DG and V2G integration in the planning and operation of future active distribution networks.