چکیده مقاله
Distributed generations DG are used in power systems to reduce power losses, improve voltage level, increase the reliability and reduction of environmental pollution To use the advantages of DG units, optimal placement and sizing of these systems should be taken into account In this paper Differential Evolution algorithm DE used as an algorithm capable in the field of artificial intelligence combined with the Artificial Bee Colony algorithm ABC to enhance search capabilities of the DE algorithm for placement and sizing of DG units in presence of load uncertainty in distributed power systems To demonstrate the effectiveness of the proposed method, it is tested on a standard IEEE 69 bus network and results indicate the superiority of the hybrid algorithm compared to each one of them Besides, the uncertainty of loads is considered Simulation results in MATLAB/Simulink software show that the proposed algorithm DE ABC algorithm minimized total cost and power losses of DG units and voltage deviation has been improved
کلیدواژهها
نویسندگان
Fatemeh Zareei
Department of Electrical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Mehdi Hosseini
Department of Electrical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Ali Moghassemi
Department of Electrical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
شیوه ارجاع
Zareei, Fatemeh and Hosseini, Mehdi and Moghassemi, Ali,1399,Optimal Placement and Sizing of Distributed Generation via a Hybrid Multi-Objective Artificial Bee Colony and Differential Evolution Algorithms,7th National Congress of New Findings of Iranian Electrical Engineering,Tehran
ارائهشده در
مجموعه مقالات هفتمین کنگره ملی تازه یافته های مهندسی برق ایران20 خرداد 1399 · تهران