Chronological Monte Carlo-based assessment of distribution system reliability


Autoria(s): Da Silva, Armando M. Leite; Cassula, Agnelo M.; Nascimento, Luiz C.; Freire Jr., José C.; Sacramento, Cleber E.; Guimarães, Ana Carolina R.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

01/12/2006

Resumo

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.

Identificador

http://dx.doi.org/10.1109/PMAPS.2006.360423

2006 9th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS.

http://hdl.handle.net/11449/69253

10.1109/PMAPS.2006.360423

2-s2.0-46149100501

Idioma(s)

eng

Relação

2006 9th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS

Direitos

closedAccess

Palavras-Chave #Distribution reliability #Markov chains #Monte Carlo simulation #Object-oriented programming #Canning #Computational efficiency #Computer programming languages #Cosmic ray detectors #Distributed parameter networks #Distribution of goods #Electric power distribution #Electric power systems #Electric power transmission networks #Laws and legislation #Local area networks #Monte Carlo methods #Object oriented programming #Power transmission #Probability #Pumps #Risk assessment #Unified Modeling Language #Applied (CO) #Balance (weighting) #case studies #Computational techniques #Customer services #distribution networks #Distribution system reliability #Distribution systems #Electric power utilities #Financial risks #In order #international conferences #Maximum continuous interruption duration (MCID) #Monte Carlo (MC) #Monte Carlo Simulation (MCS) #Performance-based regulation (PBR) #power systems #Probabilistic methods #Regulatory Authority (RA) #Reliability index (RI) #system reliability #Unified Modeling (UML) #Probability distributions
Tipo

info:eu-repo/semantics/conferencePaper