Artificial Immune Systems - Models, algorithms and applications

Copyright © 2010 Academic Research Publishing Agency.This article has been made available through the Brunel Open Access Publishing Fund.Artificial Immune Systems (AIS) are computational paradigms that belong to the computational intelligence family and are inspired by the biological immune system. During the past decade, they have attracted a lot of interest from researchers aiming to develop immune-based models and techniques to solve complex computational or engineering problems. This work presents a survey of existing AIS models and algorithms with a focus on the last five years.This article is available through the Brunel Open Access Publishing Fun

Optimisation of Mobile Communication Networks - OMCO NET

The mini conference “Optimisation of Mobile Communication Networks” focuses on advanced methods for search and optimisation applied to wireless communication networks. It is sponsored by Research & Enterprise Fund Southampton Solent University. The conference strives to widen knowledge on advanced search methods capable of optimisation of wireless communications networks. The aim is to provide a forum for exchange of recent knowledge, new ideas and trends in this progressive and challenging area. The conference will popularise new successful approaches on resolving hard tasks such as minimisation of transmit power, cooperative and optimal routing

Hybridization of Self Adaptive Differential Evolution Algorithm with Biogeography-Based Algorithm for Solving Reactive Power Problem

In this paper, Self-adaptive Differential Evolution Algorithm (SaDE) Hybridized with Biogeography-Based Algorithm (BBO) to solve reactive power problem. In this proposed algorithm Iteration-level hybridization is done, in which Self-adaptive Differential Evolution Algorithm and Biogeography-Based Algorithm (DEBA) is executed in sequence. Self-adaptive Differential Evolution Algorithm acts independently and then exchanges information from Biogeography-Based algorithm. The proposed DEBA has been tested in IEEE 30,118 bus test systems and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss. Keywords: Evolutionary computation, Self-Adaptive Differential Evolution Algorithm, Biogeography-Based optimization, optimal reactive power, Transmission loss

An Adaptive Overcurrent Coordination Scheme to Improve Relay Sensitivity and Overcome Drawbacks due to Distributed Generation in Smart Grids

Distributed Generation (DG) brought new challenges for protection engineers since standard relay settings of traditional system may no longer function properly under increasing presence of DG. The extreme case is coordination loss between primary and backup relays. The directional overcurrent relay (DOCR) which is the most implemented protective device in the electrical network also suffers performance degradation in presence of DG. Therefore, this paper proposes the mitigation of DG impact on DOCR coordination employing adaptive protection scheme (APS) using differential evolution algorithm (DE) while improving overall sensitivity of relays . The impacts of DG prior and after the application of APS are presented based on interconnected 6 bus and IEEE 14 bus system. As a consequence, general sensitivity improvement and mitigation scheme is proposed