Power Systems Engineering Research Center

Project Summaries

Power Systems

Adaptive and Intelligent PMUs for Smarter Applications (S-57)

Summary PMU performance varies with operating conditions such as dynamic condition, harmonics, off-nominal frequency and step voltage changes due to load changes and/or faults. Phasor based applications may utilize only part of the PMU measurements like frequency, voltage magnitude or angles. Accuracy of these specific measurements depends on phasor estimation algorithms, which can be switched between different algorithms to adopt with specific applications and operating conditions for higher performance. Distributed applications using PMU data may require some of the calculation done within PMU and data manipulation in intelligent manner to minimize the computational and communication burden as well as enable enhanced applications. Additionally, user defined bits can be used in flexible and intelligent manner to realize enhanced capability of PMU for smarter applications. Interchangeability of PMU with changing applications is another important issue. This project focuses on all the above aspects to develop 'adaptive' and 'intelligent' PMU for smarter applications and believes that 'one PMU does not fit all applications and all operating conditions'.
Academic Team Members Project Leader: Anurag Srivastava (Washington State, asrivast@eecs.wsu.edu)
Team members: Sakis Meliopoulos (Georgia Tech), Pete Sauer (Univ. of Illinois at Urbana-Champaign)
Industry Team Members Xiaoming Feng (ABB), Reynaldo Nuqui (ABB), William Kouam Kamwa (AEP), Giuseppe Stanciulescu (BC Hydro), Paul Myrda (EPRI), Innocent Kamwa (Hydro-Québec), Qiang Zhang (ISO New England), Farrokh 'Frank' Habibiashrafi (Southern California Edison)