DocumentCode :
2603699
Title :
An immune-based optimization method for distributed generation placement in order to optimize voltage profile
Author :
Aghaebrahimi, M.R. ; Amiri, M. ; Zahiri, S.H.
Author_Institution :
Univ. of Birjand, Birjand, Iran
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
7
Abstract :
The optimal sizing and placement of distributed generators has received considerable attention from researchers recently. An immune algorithm (IA) based optimization approach for solving the distributed generation (DG) placement problem is proposed in this paper. In the distributed generation placement problem, practical DG operating constraints including: load profiles, feeder capacities and allowable voltage limits are all considered while the investment cost, power or energy losses and voltage profile are optimized. In the proposed method, objective function (voltage profile) and constraints (bus voltage limits and line current limits) are represented as antigens. Through the genetic evolution, an antibody that most fits the antigen becomes the solution. In this IA computation, an affinity calculation process is also embedded to guarantee the diversity. The process stagnation can thus be prevented better.
Keywords :
distributed power generation; optimisation; distributed generation placement problem; energy losses; immune-based optimization method; investment cost; optimal sizing; power losses; voltage profile; Ant colony optimization; Artificial immune systems; Cogeneration; Cost function; Distributed control; Investments; Natural gas; Optimization methods; Power system planning; Voltage; Artificial Immune System; Distributed Generation; Optimal placement; Voltage Profile;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348235
Filename :
5348235
Link To Document :
بازگشت