摘要：AbstractThis paper presents a mathematical linear model for probabilistic Multistage PMU Placement (MPP). The proposed probabilistic MPP utilizes a technique needless to use prevalent subsidiary optimizations for each planning stage. Although this technique, in turn, increases problem complexity with manifold variables, it guarantees global optimal solution in a wider and thorough search space; while in prevalent methods, some parts of search space might be missed. In addition, the model is capable of considering the network topology changes due to long-term expansions over the planning horizon. Finally, in order to demonstrate the effectiveness of the proposed formulation, the model is conducted on the IEEE 57-bus standard test system regarding a three-stage expansion scenario.
关键词：KeywordsIncreased Search SpacePhasor Measurement Unit (PMU)Probabilistic multi-stage PMU placementProbability of observability
