TY - JOUR
T1 - An immune-based optimization method to capacitor placement in a radial distribution system
AU - Huang, Shyh Jier
N1 - Funding Information:
Manuscript received March 9, 1998; revised October 26, 1998. This work was partially supported by the National Science Council of Republic of China under the contract number NSC87-2213-E-006-088. The author is with the Department of Electrical Engineering, National Cheng Kung University, Thinan, Taiwan 70101. Publisher Item Identifier S 0885-8977(00)03501-9.
PY - 2000/4
Y1 - 2000/4
N2 - An Immune Algorithm (IA) based optimization approach for solving the capacitor placement problem is proposed in this paper. In the capacitor placement problem, those practical capacitor operating constraints, load profiles, feeder capacities and allowable voltage limits at different load levels are all considered while the investment cost and energy loss are minimized. In the proposed method, objective functions and constraints 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 be thus better prevented. The proposed method has been applied to a test system and the results are compared with other published techniques.
AB - An Immune Algorithm (IA) based optimization approach for solving the capacitor placement problem is proposed in this paper. In the capacitor placement problem, those practical capacitor operating constraints, load profiles, feeder capacities and allowable voltage limits at different load levels are all considered while the investment cost and energy loss are minimized. In the proposed method, objective functions and constraints 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 be thus better prevented. The proposed method has been applied to a test system and the results are compared with other published techniques.
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U2 - 10.1109/61.853014
DO - 10.1109/61.853014
M3 - Article
AN - SCOPUS:0034171868
SN - 0885-8977
VL - 15
SP - 744
EP - 749
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 2
ER -