TY - GEN
T1 - Modern computing environment for power system reliability assessment
AU - Da Rosa, M. A.
AU - Miranda, V.
AU - Carvalho, L.
AU - Da Silva, A. M.Leite
PY - 2010
Y1 - 2010
N2 - A natural movement towards artificial intelligence (AI) techniques took place in the last years in power system analysis. Many research works have used AI topics like search techniques, knowledge representation, reasoning and learning systems, as well as heuristic tools to address power system problems. This paper focuses the discussion on power system reliability evaluation and this natural transition from AI topics to a more sophisticated software design, known as intelligent agent (IA) technology. Instead of applying AI techniques to improve a single stage of the Monte Carlo Simulation (MCS), the IA architecture explores new ways to support AI topics. However, this natural movement needs to be managed through the proposal of a modern framework of power system tools, where several different techniques have to be combined in order to maximize each one's benefits and advantages.
AB - A natural movement towards artificial intelligence (AI) techniques took place in the last years in power system analysis. Many research works have used AI topics like search techniques, knowledge representation, reasoning and learning systems, as well as heuristic tools to address power system problems. This paper focuses the discussion on power system reliability evaluation and this natural transition from AI topics to a more sophisticated software design, known as intelligent agent (IA) technology. Instead of applying AI techniques to improve a single stage of the Monte Carlo Simulation (MCS), the IA architecture explores new ways to support AI topics. However, this natural movement needs to be managed through the proposal of a modern framework of power system tools, where several different techniques have to be combined in order to maximize each one's benefits and advantages.
KW - Agent-based technology
KW - Distributed systems
KW - Monte Carlo simulation
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=77956437880&partnerID=8YFLogxK
U2 - 10.1109/PMAPS.2010.5528321
DO - 10.1109/PMAPS.2010.5528321
M3 - Conference contribution
AN - SCOPUS:77956437880
SN - 9781424457236
T3 - 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
SP - 664
EP - 671
BT - 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
T2 - 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
Y2 - 14 June 2010 through 17 June 2010
ER -