Title :
An immune-based optimization method for distributed generation placement in order to minimize power losses
Author :
Aghaebrahimi, M.R. ; Amiri, M. ; Zahiri, S.H.
Author_Institution :
Univ. of Birjand, Birjand, Iran
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 (power losses) 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; distribution networks; optimisation; antigens; distributed generation placement; feeder capacities; immune-based optimization method; investment cost; load profiles; power loss minimisation; Constraint optimization; Cost function; Distributed control; Distributed power generation; Embedded computing; Energy loss; Genetics; Investments; Optimization methods; Voltage; Artificial Immune System; Distributed Generation; Optimal placement; Power Losses;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5348247