کنفرانس مهندسی برق ایران

صفحه اصلی / بیست و نهمین کنفرانس مهندسی برق ایران

Optimal Scheduling of Active Distribution Networks with High Penetration of Plug-in Electric vehicles and Renewables Using Grasshopper Optimization Algorithm

نویسندگان :

Seyyed Hadi Mousavi¹ Varahram Janatifar² Arya Abdolahi³ Mitra Sarhangzadeh⁴

1- دانشگاه آزاد اسلامی واحد تبریز 2- دانشگاه آزاد اسلامی واحد تبریز 3- دانشگاه شهیدمدنی آذربایجان 4- دانشگاه آزاد اسلامی واحد تبریز

کلمات کلیدی :

Active distribution network, Renewable energy sources, Grasshopper optimization algorithm, Plug-in electric vehicle

چکیده :

With development use of plug-in hybrid electric vehicle (PHEV) as small moving power plants, energy management of these types of power plants requires more researches. So the charging and discharging capability of PHEVs can be used in active distribution network (ADN). This paper suggests an optimal approach for charging and discharging scheduling of PEVs in the ADNs to minimize operating costs of system. The influence of PEVs on the operating costs and some technical characteristics of system like power losses and voltage profile has been investigated under PEVs limits, distributed generation units. In this work, the grasshopper optimization algorithm (GOA) is applied to solve this hard mixed integer non-linear programming problem with the goal of minimizing the operating costs of system and find the optimal solutions. In the end, an illustrative case study is provided to acknowledge the sufficiency and proficiency of the presented model by implementing it on the modified IEEE 69-bus system.

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