This paper presents an application of pseudo-chronological Monte Carlo simulation algorithm to investigate the effects of load management on interruption cost. The pseudo-chronological simulation, which retains the computational efficiency of non-sequential simulation and the accuracy of chronological simulation, can be used to represent different load patterns per area or bus. Case studies on the Brazilian South-Southeastern System (SSB) considering the impact of different load management policies applied to the Rio de Janeiro area are presented and discussed.
Load management; demand-side management; Monte Carlo simulation; composite reability; uncertainty modeling; interruption costs
