Applying Artificial Immune System to Minimize Construction Cost of Water Distribution Networks

2008 ◽  
Author(s):  
Min-Der Lin ◽  
Chien-Wei Chu
Keyword(s):  
Immune System ◽  
Water Distribution ◽  
Artificial Immune System ◽  
Distribution Networks ◽  
Construction Cost ◽  
Water Distribution Networks ◽  
Artificial Immune

Cost optimization of water distribution networks by using artificial immune systems

2014 ◽  
Vol 64 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Miraç Eryiğit
Keyword(s):  
Water Distribution ◽  
Clonal Selection ◽  
Artificial Immune Systems ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Clonal Selection Algorithm ◽  
Artificial Immune ◽  
Immune Systems ◽  
Proposed Model ◽  
The Impact

This study aims at the development of an optimization model based on artificial immune systems (AIS) to minimize cost designs of water distribution networks (WDNs). Clonal selection algorithm (Clonalg), a class of AIS, was used as an optimization technique in the model, and its mutation operation was modified to increase the diversity (search capability). EPANET, a widely known WDN simulator, was used in conjunction with the proposed model. The model was applied to four WDNs of Two-loop, Hanoi, Go Yang, New York City, and the results obtained were compared with other heuristic and mathematical optimization models in the related literature, such as harmony search, genetic algorithm, immune algorithm, shuffled complex evolution, differential evolution, and non-linear programming-Lagrangian algorithm. Furthermore, the modified Clonalg was compared with the classic Clonalg in order to demonstrate the impact of the modification on the diversity. The proposed model appeared to be promising in terms of cost designs of WDNs.

scholarly journals Optimal Siting of Distributed Generators in a Distribution Network using Artificial Immune System

2017 ◽  
Vol 7 (2) ◽  
pp. 641 ◽  
Author(s):  
Meera P.S. ◽  
S. Hemamalini
Keyword(s):  
Immune System ◽  
Distribution System ◽  
Optimal Power Flow ◽  
Artificial Immune System ◽  
Voltage Stability ◽  
Clonal Selection ◽  
Distribution Network ◽  
Distribution Networks ◽  
Optimal Location ◽  
Artificial Immune

<p>Distributed generation (DG) sources are being installed in distribution networks worldwide due to their numerous advantages over the conventional sources which include operational and economical benefits. Random placement of DG sources in a distribution network will result in adverse effects such as increased power loss, loss of voltage stability and reliability, increase in operational costs, power quality issues etc. This paper presents a methodology to obtain the optimal location for the placement of multiple DG sources in a distribution network from a technical perspective. Optimal location is obtained by evaluating a global multi-objective technical index (MOTI) using a weighted sum method. Clonal selection based artificial immune system (AIS) is used along with optimal power flow (OPF) technique to obtain the solution. The proposed method is executed on a standard IEEE-33 bus radial distribution system. The results justify the choice of AIS and the use of MOTI in optimal siting of DG sources which improves the distribution system efficiency to a great extent in terms of reduced real and reactive power losses, improved voltage profile and voltage stability. Solutions obtained using AIS are compared with Genetic algorithm (GA) and Particle Swarm optimization (PSO) solutions for the same objective function.</p>

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