Alireza Fereidunian

Publications

• An Expert System Realization of Adaptive Autonomy in Electric Utility Management Automation

  A. Fereidunian, M.A. Zamani, H. Lesani, C. Lucas, M. Lehtonen

  Journal of Applied Sciences. 03/2009; 9:1524-1530.

  Earlier we introduced a novel framework for implementation of Adaptive Autonomy (AA). This study presents an expert system realization of the AA framework, referred to as Adaptive Autonomy Expert System (AAES). The proposed AAES is based on the extracted rules from the Expert’s Judgment on proper Le... [more] Earlier we introduced a novel framework for implementation of Adaptive Autonomy (AA). This study presents an expert system realization of the AA framework, referred to as Adaptive Autonomy Expert System (AAES). The proposed AAES is based on the extracted rules from the Expert’s Judgment on proper Levels of Automation (LOA) for various environmental conditions, modeled as Performance Shaping Factors (PSFs). Decision fusion method is used as expert system inference engine, where eight decision fusion methods are developed as prospective ones. The AAES is realized in the practical case of electric power Utility Management Automation (UMA) for the Greater Tehran Electricity Distribution Company (GTEDC). The practical list of PSFs and the judgments of GTEDC’s experts are used as the expert system rule base in this research. The results of implementing the proposed AAES to GTEDC’s network are evaluated according to two criteria: average error and error margin. Five out of eight decision fusion methods are proven to be suitable inference engines, due to both criteria. Evaluation of the results shows that the proposed AAES can estimate proper LOAs for GTEDC’s UMA system, which change due to the changes in PSFs; thus providing a dynamic (adaptive) LOA scheme for UMA.

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• An Expert System Realization of Adaptive Autonomy in Electric Utility Management Automation

  Fereidunian A, Zamani M.A, Lesani H, Lucas C, Lehtonen M

  Journal of Applied Sciences. 01/2009;

  Earlier we introduced a novel framework for implementation of Adaptive Autonomy (AA). This study presents an expert system realization of the AA framework, referred to as Adaptive Autonomy Expert System (AAES). The proposed AAES is based on the extracted rules from the Expert’s Judgment on proper Le... [more] Earlier we introduced a novel framework for implementation of Adaptive Autonomy (AA). This study presents an expert system realization of the AA framework, referred to as Adaptive Autonomy Expert System (AAES). The proposed AAES is based on the extracted rules from the Expert’s Judgment on proper Levels of Automation (LOA) for various environmental conditions, modeled as Performance Shaping Factors (PSFs). Decision fusion method is used as expert system inference engine, where eight decision fusion methods are developed as prospective ones. The AAES is realized in the practical case of electric power Utility Management Automation (UMA) for the Greater Tehran Electricity Distribution Company (GTEDC). The practical list of PSFs and the judgments of GTEDC’s experts are used as the expert system rule base in this research. The results of implementing the proposed AAES to GTEDC’s network are evaluated according to two criteria: average error and error margin. Five out of eight decision fusion methods are proven to be suitable inference engines, due to both criteria. Evaluation of the results shows that the proposed AAES can estimate proper LOAs for GTEDC’s UMA system, which change due to the changes in PSFs; thus providing a dynamic (adaptive) LOA scheme for UMA.

• A Framework for Implementation of Adaptive Autonomy for Intelligent Electronic Devices

  A. Fereidunian, H. Lesani, C. Lucas, M. Lehtonen

  Journal of Applied Sciences. 11/2008; 8:3721-3726.

  This research letter introduces a novel framework for the implementation of Adaptive Autonomy for Intelligent Electronic Devices (IEDs). The study aims at achieving an optimum function allocation between IEDs and humans in automation systems. The function allocation should be adapted to the changes ... [more] This research letter introduces a novel framework for the implementation of Adaptive Autonomy for Intelligent Electronic Devices (IEDs). The study aims at achieving an optimum function allocation between IEDs and humans in automation systems. The function allocation should be adapted to the changes in environmental conditions, thus referring to as Adaptive Autonomy (AA). Performance Shaping Factors (PSFs) concept is utilized to represent the environmental conditions. Moreover, Experts Judgment method is used, to tackle the complex issue of human reliability assessment. The framework is implemented to the power distribution automation system of the Greater Tehran Electricity Distribution Company (GTEDC) and the obtained results are discussed then. Furthermore, the trends of the IED autonomy levels are investigated versus the situation criticality and the automation stages. Apart from introducing a novel implementation framework for IEDs AA, this letter discusses on the application-oriented issues, due to the context-based nature of the Human-Automation Interaction (HAI). The developmental relevance of this study is significant, as it is performed in a Metropolitan area of an Asian/Middle Eastern developing country, thus generalize-able to the similar applications to a reasonable extend.

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• A Framework for Implementation of Adaptive Autonomy for Intelligent Electronic Devices

  Fereidunian A, Lesani H, Lucas C, Lehtonen M

  Journal of Applied Sciences. 01/2008;

  This research letter introduces a novel framework for the implementation of Adaptive Autonomy for Intelligent Electronic Devices (IEDs). The study aims at achieving an optimum function allocation between IEDs and humans in automation systems. The function allocation should be adapted to the changes ... [more] This research letter introduces a novel framework for the implementation of Adaptive Autonomy for Intelligent Electronic Devices (IEDs). The study aims at achieving an optimum function allocation between IEDs and humans in automation systems. The function allocation should be adapted to the changes in environmental conditions, thus referring to as Adaptive Autonomy (AA). Performance Shaping Factors (PSFs) concept is utilized to represent the environmental conditions. Moreover, Experts Judgment method is used, to tackle the complex issue of human reliability assessment. The framework is implemented to the power distribution automation system of the Greater Tehran Electricity Distribution Company (GTEDC) and the obtained results are discussed then. Furthermore, the trends of the IED autonomy levels are investigated versus the situation criticality and the automation stages. Apart from introducing a novel implementation framework for IEDs AA, this letter discusses on the application-oriented issues, due to the context-based nature of the Human-Automation Interaction (HAI). The developmental relevance of this study is significant, as it is performed in a Metropolitan area of an Asian/Middle Eastern developing country, thus generalize-able to the similar applications to a reasonable extend.

• Adaptive autonomy: Smart cooperative cybernetic systems for more humane automation solutions

  Fereidunian, A. Lehtonen, M. Lesani, H. Lucas, M. C. Nordman

  Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on, Montreal, Que.,; 10/2007

  Smart cooperation of human and computer agents should be harmonized by adapting the automation level of the cybernetic systems to the changing environmental and peripheral situations. This paper presents an adaptive autonomy methodology that is based on an extension of a well-known human-automation ... [more] Smart cooperation of human and computer agents should be harmonized by adapting the automation level of the cybernetic systems to the changing environmental and peripheral situations. This paper presents an adaptive autonomy methodology that is based on an extension of a well-known human-automation interaction model, as well as the expert judgment technique and the performance shaping factors concept. The method is implemented to a power distribution automation system, and the results are discussed through a scenario-based approach. Then, the performance of the proposed methodology and the effectiveness of adaptive autonomy are shown by the wide span of the changes in the resulting automation levels. The trends of the automation levels are investigated versus the criticality of the situations and the automation stages. The application-oriented matters are also discussed to stress on the context-based nature of the human-centered automation models.

• Challenges in implementation of human-automation interaction models

  Fereidunian, A. Lucas, C. Lesani, H. Lehtonen, M. M. Nordman

  Control & Automation, 2007. MED '07. Mediterranean Conference on, Athens,; 06/2007

  This paper presents the practical experience gained in the process of implementing the human-centered automation design methodology to an electric power utility management automation function, along with the analytical discussions on the implementation challenges. This report of implementation chall... [more] This paper presents the practical experience gained in the process of implementing the human-centered automation design methodology to an electric power utility management automation function, along with the analytical discussions on the implementation challenges. This report of implementation challenges and the discussions made on the methods devised to conquer those challenges lead to an alternative approach to the original approach to the well-known human-centered automation design model in the literature.

• A Systems Approach to Information Technology (IT) Infrastructure Design for Utility Management Automation Systems

  A. Fereidunian, H. Lesani, C. Lucas, M. Lehtonen, M. M. Nordman

  Iranian Journal of Electrical and Electronic Engineering. 07/2006; 2:91-105.

  Almost all of electric utility companies are planning to improve their management automation system, in order to meet the changing requirements of new liberalized energy market and to benefit from the innovations in information and communication technology (ICT or IT). Architectural design of the ut... [more] Almost all of electric utility companies are planning to improve their management automation system, in order to meet the changing requirements of new liberalized energy market and to benefit from the innovations in information and communication technology (ICT or IT). Architectural design of the utility management automation (UMA) systems for their IT-enabling requires proper selection of IT choices for UMA system, which leads to multi-criteria decision-makings (MCDM). In response to this need, this paper presents a model-based architectural design-decision methodology. The system design problem is formulated first; then, the proposed design method is introduced, and implemented to one of the UMA functions–feeder reconfiguration function (FRF)– for a test distribution system. The results of the implementation are depicted, and comparatively discussed. The paper is concluded by going beyond the results and fair generalization of the discussed results; finally, the future under-study or under-review works are declared.

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• An extended magnetizing inrush restraint method applied to digital differential relays for transformer protection

  M. Sanaye-Pasand, M. Zangiabadi, A.R. Fereidunian

  Power Engineering Society General Meeting, 2003, IEEE; 08/2003

  This paper describes the design, computational aspects and results of digital differential relays for transformer protection. Two estimators based on Walsh series and least squares algorithms are developed. The extended magnetization restraining technique, which uses angular relationship as well as ... [more] This paper describes the design, computational aspects and results of digital differential relays for transformer protection. Two estimators based on Walsh series and least squares algorithms are developed. The extended magnetization restraining technique, which uses angular relationship as well as magnitude of transformer currents, is applied for inrush current recognition. Inrush trip suppression is checked using real data. Test results illustrate the abilities of the algorithms and feasibility of the whole protection scheme. Obtained results are presented and discussed in the paper.