Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space to Enhance Power System Monitoring

Publication Type:
Conference Proceeding
Citation:
IFAC-PapersOnLine, 2018, 51 (28), pp. 262 - 267
Issue Date:
2018-01-01
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© 2018 This 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.
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