An application of predictive reliability analysis techniques in Brazil’s northeast distribution networks

Multi-agent systems applied to reliability assessment of power systems

“…Moreover, to analyze the sampled states, heavy computational tools such as optimal power flows are intensively used [8,15]. The solution time for analytical techniques is relatively short, but usually requires a simplification of the systems [16]. However, sequential MCS makes possible the use of a wide range of detailed models including non-Markovian representation for generation and transmission equipment, correlated chronological load models, etc.…”

Expansion planning problem in distribution systems with reliability evaluation: An application in real network using georeferenced database

“…Thus, there is a concern when planning the network expansion, not only in minimizing investment costs but also in considering compliance with the criteria of reliability required for the system, usually established by agency responsible for monitoring, regulating and supervising the activities of energy. The literature presents different approaches to reliability assessment in power distribution networks and also their inclusion in models of planning network expansion [10,[12][13][14].…”

“…Thus, there is a concern when planning the network expansion, not only in minimizing investment costs but also in considering compliance with the criteria of reliability required for the system, usually established by agency responsible for monitoring, regulating and supervising the activities of energy. The literature presents different approaches to reliability assessment in power distribution networks and also their inclusion in models of planning network expansion [10,[12][13][14].The purpose of this paper is present one methodology in two stage for the expansion planning problem with reliability criteria, where in the stage I the expansion planning problem is modeled by the MILP model and stage II, the reliability analysis is realized.Following the technology tendencies, the energy companies use the computational tools for geoprocessing, called Geographic Information Systems (GIS) and the ability to query and analyze the information directly from the georeferenced database for use in constructed models allow you to perform more refined studies and a higher level of detail. This integration between georeferenced database with the models proposed in the methodology is considered, making the planning can be done from the real data http://dx.…”