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

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.

Optimal placement and sizing, Differential Evolution algorithm, Artificial Bee Colony algorithm, load uncertainty, cost reduction