{"title":"A Heuristic Hybrid Technique for the Optimal Allocation of Capacitors in Unbalanced Multiconverter Distribution Systems","authors":"G. Carpinelli, D. Proto, P. Varilone, A. Abur","doi":"10.1109/SYSTEMS.2008.4519045","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519045","url":null,"abstract":"The problem of sizing and location of capacitor banks in unbalanced distribution systems with nonlinear loads is addressed. This problem can be solved by means of genetic algorithm based procedures that have been proven to find good solutions. However, when dealing with multiconverter unbalanced large scale systems, these algorithms may require significant computational effort which will reduce their effectiveness. In this paper a hybrid method, which significantly reduces the computational effort without affecting the level of accuracy is proposed. The hybrid method involves a two step procedure: first a small number of nodes are selected as candidate buses for the capacitor allocation through the application of the inherent structure theory of networks; then, a heuristic procedure based on sequential placement of discrete capacitor units is applied to the selected buses. Numerical examples are presented to demonstrate the efficiency of the proposed procedure.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Ontological Approach to Conceptual Modeling of Disaster Management","authors":"M. Sotoodeh, Philippe B Kruchten","doi":"10.1109/SYSTEMS.2008.4519053","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519053","url":null,"abstract":"Disaster management increasingly depends on various information systems, such as modeling and simulation systems or visualization and geographical information systems, to support decision makers at various stages of a disaster. The conceptual modeling of the domain for such systems is challenging, especially for IT developers new to the field. In this paper we present three ontologies that reflect three different views to a sub domain of disaster management at different levels of granularity. We compare the ontologies and discuss how a high-level model can separate concerns of various stakeholders into logical layers of abstraction, facilitate understanding of the domain, and inform development of various application systems.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114912616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Grace A. Lewis, E. Morris, Pat Place, Soumya Simanta, Dennis B. Smith, L. Wrage
{"title":"Engineering Systems of Systems","authors":"Grace A. Lewis, E. Morris, Pat Place, Soumya Simanta, Dennis B. Smith, L. Wrage","doi":"10.1109/ICCBSS.2008.26","DOIUrl":"https://doi.org/10.1109/ICCBSS.2008.26","url":null,"abstract":"Over the past decade, the focus of much effort in systems development has evolved from the development of individual self- contained systems to the integration of large-scale systems of systems (SoS) that are constantly evolving to address new user needs. Because these types of systems of systems no longer have a single controlling authority, have components that are developed and evolve independently, and as a result cannot be specified by a top-down set of requirements, the methods for engineering them need to be modified from the methods for engineering traditional systems. This paper identifies the characteristics of SoS, proposes a SoS life cycle, and identifies some considerations for requirements engineering in an SoS environment.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122720667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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