Abstract
This paper presents a new hybrid intelligent method for the optimal placement and sizing of active power filters (APFs) from cost point of view in the power distribution system. Different costs of APFs are presented in this paper. To achieve the more saved cost, an intelligent method based on fuzzy logic and imperialist competitive algorithm (ICA) is proposed. Four indices are used to identify the initial locations of APFs. A new discrete improved adaptive ICA is proposed to determine the optimal locations and sizing of APFs. The intelligent method is validated on the IEEE 18-bus distribution system. The results show that our hybrid intelligent method is more efficient and economical in comparison with several non-hybrid approaches in this field. Besides, this paper clearly shows the impact of the fixed cost of APFs on investment costs.
Additional information
Notes on contributors
Amir Moradifar
Amir Moradifar is a PhD candidate at the electrical engineering, Semnan University, Semnan, Iran. He was born in Tehran, Iran, in 1986. He received the BSc and MSc degrees in electrical engineering from Semnan University, Semnan, Iran, in 2008 and 2010, respectively. His research interests include power quality, power system harmonics, applications of FACTS devices in power system, intelligent techniques applied to smart grid, and active distribution system planning.
E-mail: [email protected]
Asghar Akbari Foroud
Asghar Akbari Foroud is an associate professor of electrical engineering at Semnan University, Semnan, Iran. He was born in Hamadan, Iran, in 1972. He received the BSc degree from Tehran University and MSc and PhD degrees from Tarbiat-Modares University, Tehran, Iran. He has performed research on various topics in power and energy systems. His research interests include power system dynamics and control, power operation and control, power system planning, power market, FACTs devices, and power quality.
E-mail: [email protected]