Tuesday, 12 October 2010

Wseas Transactions

New Subscription to Wseas Transactions

The following information was submitted:

Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 52-435
Full Name: Amany El-Zonkoly
Position: Associate Professor
Age: ON
Sex: Female
Address: Arab Academy for Science and Technology - Miami - Alexandria - Egypt - P.O. 1029
Country: EGYPT
Tel:
Tel prefix:
Fax:
E-mail address: amanyelz@yahoo.com
Other E-mails:
Title of the Paper: Optimal Placement of Multi DG Units Including Different Load Models Using PSO
Authors as they appear in the Paper: Amany El-Zonkoly
Email addresses of all the authors: amanyelz@yahoo.com
Number of paper pages: 13
Abstract: This paper proposes a multi-objective index-based approach to optimally determine the size and location of multi-distributed generators (DG) units in distribution system with different load models. It is shown that load models can significantly affect the optimal location and sizing of DG resources in distribution systems. The proposed multi-objective function to be optimized includes a short circuit level parameter to represent the protective device requirements. The proposed function also considers a wide range of technical issues such as active and reactive power losses of the system, the voltage profile, the line loading and the MVA intake by the grid. The optimization technique based on particle swarm optimization (PSO) is introduced. The analysis of continuation power flow to determine the effect of DG units on the most sensitive buses to voltage collapse is carried out. The proposed algorithm is tested using the 38-bus radial system and the IEEE 30-bus meshe!
d system. The results show the effectiveness of the proposed algorithm
Keywords: Particle swarm optimization (PSO); Optimal placement; Distributed generation (DG); Load models; Impact indices; Short circuit level; Voltage stability.
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Particle swarm optimization (PSO); Optimal placement; Distributed generation (DG); Voltage stability.
IP ADDRESS: 41.235.9.184