A comprehensive Time Series Power Flow (TSPF) framework is proposed for the analysis of Fault Induced Delayed Voltage Recovery (FIDVR). TSPF bridges the gap between static power flow simulations and time domain simulations for FIDVR analysis. FIDVR events can be simulated much faster with TSPF than with transient simulations (EMTP-type). In the TSPF framework, a random model for the disconnection of the induction motors is proposed to determine the load statuses for different “snapshots” during FIDVR events. Regression analysis is used to predict the parameters needed in the framework. There is no need to simplify the network topology or aggregate loads into clusters as in the WECC (Western Electricity Coordinating Council) composite load model. The techniques presented in this thesis are validated by two FIDVR events recorded in heavily-meshed distribution networks in New York City in 2010 and 2015. This thesis uncovers that the proper modeling of motor protections (thermal and under-voltage) is key to properly replicate and predict FIDVR events.
The thesis also exploits a system level remedy for FIDVR using smart inverters of Distributed Energy Resources (DERs). According to the IEEE standard 1547-2018, smart inverters with voltage ride-through and var injection capabilities are promising technologies to achieve fast voltage control functions. This thesis quantitatively investigates the capabilities and effectiveness of smart inverters from a system-wide perspective. It shows that DERs can mitigate or even eliminate FIDVR in some cases. In addition, the over-voltages created at the end of FIDVR due to load disconnections can be prevented with judiciously controlled DERs. A new control scheme is proposed for FIDVR that is extended from volt/var distributed control methods. The new control also includes the coordination with capacitors avoiding installing a communications infrastructure. The IEEE 13-bus test feeder and the IEEE 390-node low voltage network test system are used to illustrate the effectiveness of DERs for the mitigation of FIDVR and to verify the proposed control scheme. The different performances of FIDVR mitigation from DERs for the two types of systems are discussed. The results reveal that DERs are more effective mitigating FIDVR because they support voltage locally, while Static Var Compensators (SVCs) are effective in (robust) networked distribution systems, but not so much for radial (weak) distribution systems.
|Advisor:||de León, Francisco|
|Commitee:||Czarkowski, Dariusz, Zabar, Zivan|
|School:||New York University Tandon School of Engineering|
|Department:||Electrical and Computer Engineering|
|School Location:||United States -- New York|
|Source:||DAI-B 81/2(E), Dissertation Abstracts International|
|Keywords:||FIDVR, PV, Smart inverter, Time series power flow|
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