Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Chronological Monte Carlo-based assessment of distribution system reliability
Regulatory authorities in many countries, in order to maintain an acceptable balance between appropriate customer service qualities and costs, are introducing a performance-based regulation. These regulations impose penalties, and in some cases rewards, which introduce a component of financial risk to an electric power utility due to the uncertainty associated with preserving a specific level of system reliability. In Brazil, for instance, one of the reliability indices receiving special attention by the utilities is the Maximum Continuous Interruption Duration per customer (MCID). This paper describes a chronological Monte Carlo simulation approach to evaluate probability distributions of reliability indices, including the MCID, and the corresponding penalties. In order to get the desired efficiency, modern computational techniques are used for modeling (UML -Unified Modeling Language) as well as for programming (Object- Oriented Programming). Case studies on a simple distribution network and on real Brazilian distribution systems are presented and discussed. © Copyright KTH 2006.
Chronological Monte Carlo-based assessment of distribution system reliability
Regulatory authorities in many countries, in order to maintain an acceptable balance between appropriate customer service qualities and costs, are introducing a performance-based regulation. These regulations impose penalties, and in some cases rewards, which introduce a component of financial risk to an electric power utility due to the uncertainty associated with preserving a specific level of system reliability. In Brazil, for instance, one of the reliability indices receiving special attention by the utilities is the Maximum Continuous Interruption Duration per customer (MCID). This paper describes a chronological Monte Carlo simulation approach to evaluate probability distributions of reliability indices, including the MCID, and the corresponding penalties. In order to get the desired efficiency, modern computational techniques are used for modeling (UML -Unified Modeling Language) as well as for programming (Object- Oriented Programming). Case studies on a simple distribution network and on real Brazilian distribution systems are presented and discussed. © Copyright KTH 2006.
Chronological Monte Carlo-based assessment of distribution system reliability
Da Silva, Armando M. Leite (Autor:in) / Cassula, Agnelo M. (Autor:in) / Nascimento, Luiz C. (Autor:in) / Freire Jr., José C. (Autor:in) / Sacramento, Cleber E. (Autor:in) / Guimarães, Ana Carolina R. (Autor:in) / Universidade Estadual Paulista (UNESP)
01.12.2006
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Distribution of goods , Monte Carlo Simulation (MCS) , Object oriented programming , Distribution reliability , Applied (CO) , Computer programming languages , Computational efficiency , Electric power systems , Probability distributions , Monte Carlo methods , Regulatory Authority (RA) , distribution networks , Unified Modeling (UML) , system reliability , Distributed parameter networks , Laws and legislation , Distribution system reliability , Unified Modeling Language , Risk assessment , international conferences , Markov chains , Probability , Electric power distribution , Customer services , Performance-based regulation (PBR) , Monte Carlo (MC) , Canning , case studies , Monte Carlo simulation , Probabilistic methods , Balance (weighting) , Electric power utilities , Cosmic ray detectors , Electric power transmission networks , Local area networks , Maximum continuous interruption duration (MCID) , Financial risks , power systems , Object-oriented programming , Power transmission , Computational techniques , In order , Distribution systems , Pumps , Reliability index (RI)
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