کنفرانس بین المللی فناوری و مدیریت انرژی

صفحه اصلی / هشتمین کنفرانس بین المللی فناوری و مدیریت انرژی

Multi-Objective Coordinated Optimal Allocation of Distributed Generation and D-STATCOM in Electrical Distribution Networks Using Ebola Optimization Search Algorithm

نویسندگان :

Peyman Zare¹ Iraj Faraji Davoudkhani² Reza Mohajeri³ Rasoul Zare⁴ Hossein Ghadimi⁵ Mehdi Ebtehaj⁶

1- دانشگاه محقق اردبیلی 2- دانشگاه محقق اردبیلی 3- دانشگاه محقق اردبیلی 4- شرکت توزیع نیروی برق استان اردبیل 5- شرکت توزیع نیروی برق استان اردبیل 6- شرکت توزیع نیروی برق استان اردبیل

کلمات کلیدی :

Electricity Distribution Networks،Distributed Generation Sources،D-STATCOM،Ebola Optimization Search Algorithm

چکیده :

Nowadays, reducing losses in electricity distribution networks is very important. On the other hand, the use of distributed generation sources (DGs) in distribution networks is increasing significantly. Therefore, these resources can play an essential role in reducing the power losses of distribution networks by choosing the right location and size. Along with DGs, D-FACTS tools such as D-STATCOM in distribution networks can play an influential role in reducing losses and compensating reactive power. This article discusses the optimal coordinated allocation (i.e., sizing and location) of DGs and D-STATCOM in the radial distribution network. The desired goals of the proposed method are reducing active power losses, improving the voltage profile and stability, and minimizing the cost. Ebola Optimization Search Algorithm (EOSA) has been used to solve this optimization problem. The proposed method for analysis is applied to IEEE 69 bus standard. The results are compared with two genetic algorithms (GA) and Particle Swarm Optimization (PSO) to investigate the ability to propose the results. The simulation results indicate that the optimal location and size of DGs and D-STATCOM can significantly reduce network losses and improve the voltage profile.