Open AccessRisk‐oriented PMU placement approach in electric power systems
Author(s) -
Wang Shaobu,
Huang Renke,
Ke Xinda,
Zhao Junbo,
Fan Rui,
Wang Hong,
Huang Zhenyu,
Sathanur Arun,
Vrabie Draguna
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0957
Subject(s) - observability , phasor measurement unit , phasor , cascading failure , electric power system , units of measurement , reliability engineering , grid , computer science , control theory (sociology) , topology (electrical circuits) , mathematical optimization , power (physics) , engineering , mathematics , electrical engineering , physics , quantum mechanics , geometry , control (management) , artificial intelligence
The objective of traditional phasor measurement unit (PMU) placement approaches is to find the minimal number of PMUs to achieve full system observability. Very few consider the probability and the consequence severity of observability loss. For example, following cascading failures, lines are tripped, and the topology of the grid changes, which may result in observability loss for parts of the grid. With limited number of PMUs, it is desired that the PMUs should still sustain observability for the power grid after top‐severe cascading failures, other than after those cascading failures of low severity. To address the above issues related with the consequence severity of observability loss, this study proposes a risk‐oriented PMU placement approach. The proposed approach uses two indices, namely the probability of observability loss and the severity of its corresponding consequence to design the optimal PMU placement strategy. The authors show that the proposed approach is able to capture the critical events, while traditional approaches fail to do so. Extensive simulation results carried out on the IEEE 39‐bus and 118‐bus systems demonstrate the effectiveness of the proposed risk‐oriented approach.