2022
DOI: 10.32604/ee.2022.016657
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A Value-at-Risk Based Approach for PMU Placement in Distribution Systems

Abstract: With the application of phasor measurement units (PMU) in the distribution system, it is expected that the performance of the distribution system state estimation can be improved obviously with the PMU measurements into consideration. How to appropriately place the PMUs in the distribution is therefore become an important issue due to the economical consideration. According to the concept of efficient frontier, a value-at-risk based approach is proposed to make optimal placement of PMU taking account of the un… Show more

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Cited by 1 publication
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“…In addition, there are proposals related with noise of non-Gaussian measurements [18], chaos simulation and/or Monte Carlo [10,19], Genetics Algorithm [20], Heuristic Methods, Combined or Hybrid [9,21] Integer Linear Programming (ILP) [22], Mixed Integer Semi-Definite Programming (MISDP) [23], Information Entropy Evaluation and multiobjective optimization [24].…”
Section: Distribution and Location Of Measurementsmentioning
confidence: 99%
“…In addition, there are proposals related with noise of non-Gaussian measurements [18], chaos simulation and/or Monte Carlo [10,19], Genetics Algorithm [20], Heuristic Methods, Combined or Hybrid [9,21] Integer Linear Programming (ILP) [22], Mixed Integer Semi-Definite Programming (MISDP) [23], Information Entropy Evaluation and multiobjective optimization [24].…”
Section: Distribution and Location Of Measurementsmentioning
confidence: 99%