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This paper presents a set of investigations about the bulk reliability performance evaluation of the new IEEE Reliability Test System ( RTS-96). Several bulk reliability system indices representing a hierarchical level two (HL-11) assessment of the new system are provided. The full representation including three areas is analyzed and all results are based on AC flows evaluations considering corrective remedial actions. The assessment tool was the NH-2 program.

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This paper presents a new methodology for maintenance scheduling that takes into account inter-area transfer limitations and stochastic reliability constraints. The optimization model is based on the Benders decomposition technique. The objective of this model is to determine a minimum cost maintenance schedule, subject to technological and system reliability constraints. The model may be used also to assess the adequacy of existing transmission limits under a given set of planned outages of generating units. Case studies with a realistic three-area power system are presented and discussed. INTRODUCTIONMaintenance scheduling of generating units is an important problem related to power system planning and operation. This problem is characterized not only by its high dimensionality, but also by its complexity, even when transmission constraints are not considered. The overall generation maintenance scheduling problem may be approached from three hierarchical levels: power plant, utility and interconnected system. From the power plant point of view, the scheduling problem objective may be cast in tenns of determination of the most adequate maintenance interval for each generating unit, in order to attain (or keep) a satisfactory equipment availability level. The constraints in this level are associated to crew and repair shop availability, technological aspects, ageing, and so on. At the utility (or area) level, the objective is to maximize generation availability subject to the same plant constraints, plus additional constraints related to area load supply and interchange contracts. Finally, at the pool (or multi-area) level, the problem solution must include, besides plant and area constraints, additional constraints related to interchange capability limits, pool reliability criteria and mutual assistance practices, load diversity and seasonality, and so on. These hierarchical levels are symbolically depicted in Figure 1.

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