The focus of this dissertation is on seeking ways to enhance cyber and physical resilience in power systems. The enhanced resilience is achieved via placement, networking, of modern digital sensors, and processing of their measurements. Here, cyber and physical resilience broadly refers to the ability to support uninterrupted system operation, and tolerance to random events and cyber-physical attacks. This dissertation details the development of a synchrophasor availability (SA)-constrained measurement network design to tolerate data loss/alteration, a sensor-defined power system partition algorithm to reduce computational and communication complexities in various monitoring tasks, and a transient stability assessment method to serve the system protection purpose in large lossy power systems.
The SA-constrained sensor placement algorithm considers robust allocation of (additional) phasor measurement units (PMU) into a (new) PMU network in order to meet a data availability profile in the face of random communication interruptions, transmission line faults, and GPS spoofing attacks. SA at a bus is the fraction of time on average its time-synchronized current/voltage phasors are correctly present for real-time usage. The sensor-defined partition algorithm of a transmission network is applied to both real-time diagnosis of transmission circuit faults and to detection and isolation of GPS spoofed PMUs. The partitions are bordered by the measurement nodes of a PMU network. Conditions required for diagnosability and detectability are explicitly imposed on both the transmission and the measurement networks. The algorithm is applied to partitioning the IEEE 68-bus system, the IEEE 118-bus system, the Polish 3120-bus system and the PEGASE 9241-bus system. To address the challenges arising from stability assessment of large lossy power systems, a coverage-based stability assessment is pursued with focus on resolving computation and scalability issues for system protection purpose. This approach involves online tracking of each generator's electromechanical state using a local quasi-steady-state sinusoidal (QSSS) measurement model, and determining whether the state is enclosed in an offline-computed inner approximation of the post-fault region of attraction (RoA) at the time the RoA is established by a protection action. The approach to transient stability assessment is tested on a lossy 68-bus system subject to transmission faults.
|Advisor:||Wu, N. Eva, Bay, John S.|
|Commitee:||Chiang, Hsiao-Dong, Nikulin, Vladimir, Zhou, Ning|
|School:||State University of New York at Binghamton|
|Department:||Electrical and Computer Engineering|
|School Location:||United States -- New York|
|Source:||DAI-B 80/11(E), Dissertation Abstracts International|
|Keywords:||Dynamic state estimation, Resilient upgrade of PMU network, Static and dynamic observability, Synchrophasor availability, Transient stability assessment, Transmission network partition|
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