Artificial Immune System for Multi-Area Economic Dispatch

2013 ◽  
Vol 14 (6) ◽  
pp. 581-590 ◽  
Author(s):  
Shankha Suvra De ◽  
Abhik Hazra ◽  
Mousumi Basu

Abstract This article presents artificial immune system for solving multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. Artificial immune system is based on the clonal selection principle which implements adaptive cloning, hyper mutation, aging operator and tournament selection. The effectiveness of the proposed algorithm has been verified on three different test systems, both small and large, involving varying degree of complexity. Compared with differential evolution, evolutionary programming and real-coded genetic algorithm, considering the quality of the solution obtained, the proposed algorithm seems to be a promising alternative approach for solving the MAED problems in practical power system.

2020 ◽  
Vol 10 (21) ◽  
pp. 7933
Author(s):  
Raul Galvan-Correa ◽  
Mauricio Olguin-Carbajal ◽  
Juan Carlos Herrera-Lozada ◽  
Jacobo Sandoval-Gutierrez ◽  
José Félix Serrano-Talamantes ◽  
...  

A new bio-inspired meta-heuristic, called the micro artificial immune system (MAIS), has been developed in order to reduce the rates of pollution for a specific region of Mexico City through the optimization of vehicular flow. Simulation of urban mobility (SUMO) was used to simulate the effects of the programming of the traffic lights obtained by the MAIS. Currently, pollution and travel times from one place to another are increasing due to the number of inhabitants that live in big cities, which has generated a decrease in people’s quality of life. Hence, we propose the optimization of the programming of the sequences of traffic lights through this bio-inspired meta-heuristic. The obtained results show that the MAIS outperforms most of the algorithms tested in this research.


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