سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / ششمین کنفرانس بین المللی بهینه سازی مصرف انرژی الکتریکی

Study and Simulation of Uncertainty Conditions in Load Distribution of a Hybrid Power System with Photovoltaic Renewable Farms

نویسندگان :

Asghar Sabzevari¹ Majid Moazzami² Bahador Fani³ Ghazanfar Shahgholian⁴ Mahnaz Hashemi⁵

1- Nahafabad Branch, Islamic Azad University 2- Nahafabad Branch, Islamic Azad University 3- Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran 4- Nahafabad Branch, Islamic Azad University 5- Nahafabad Branch, Islamic Azad University

کلمات کلیدی :

uncertainty conditions،combined heat and power unit،economic load distribution،renewable photovoltaic farms

چکیده :

With the increasing demand for electrical energy and the growing emphasis on environmental sustainability, the optimal operation of power systems has become crucial. This paper presents a comprehensive simulation and analysis of an economic-environmental load distribution model for a power system consisting of 10 thermal units and 2 solar farms. The study utilizes Mat-power 7.1 in the MATLAB 2023b environment to solve the optimization problem, focusing on minimizing operating costs and emissions while maximizing the generation flexibility index (GFI). The proposed hybrid Differential Evolution-Multi-Objective Flower Pollination Algorithm (hDE-MOFPA) is compared with three well established algorithms: Multi-Objective Gray Wolf Optimization (MOGWO), Multi-Objective Particle Swarm Optimization (MOPSO), and Multi-Objective Flower Pollination Algorithm (MOFPA). The results demonstrate the superiority of hDE-MOFPA in achieving lower operational costs and higher GFI across various scenarios, highlighting its effectiveness in balancing economic and environmental objectives.