Dissertation/Thesis Abstract

On the Use of Wind Power and Pumped-storage Hydro for Blackout Restoration and Resilience
by Su, Jinshun, M.S., The George Washington University, 2019, 105; 13884193
Abstract (Summary)

Recently, natural disasters causing huge damages occur more frequently than ever before, and the electricity outages and blackouts potentially become more commonplace. It is necessary to develop an efficient and effective restoration strategy for ameliorating the grid-scale capability of restoration. With the increasing penetration of wind energy, wind power generators will play more and more important role on the system operation and restoration. In addition, due to their flexible characteristics, pumped-storage hydro (PSH) units can absorb redundant power from the system and assist in system operation or the restoration process during emergencies by supplying power into the system as needed.

This thesis focuses on designing an optimal restoration strategy through the effective coordination of wind energy and PSH. A new optimization model for power grid restoration in the face of emergencies is established. The formulation can determine the generator start-up and transmission recovery sequence. With the participation of wind energy and PSH, the total load pickup significantly increases much faster than the base case scenario without such technologies during the restoration period. The model runs in the GAMS optimization environment and is a mixed-integer linear programming formulation; the developed strategy is comprehensively tested on the modified IEEE 57 bus test system where the numerical results illustrate that the coordination of wind energy and PSH can significantly increase the load pickup and shorten the outage restoration time, thereby enhancing the grid resilience, and also reduce wind power curtailment.

Indexing (document details)
Advisor: Dehghanian, Payman
Commitee: Dehghanian, Payman, Doroslovacki, Milos, Harrington, Robert
School: The George Washington University
Department: Electrical Engineering
School Location: United States -- District of Columbia
Source: MAI 58/06M(E), Masters Abstracts International
Subjects: Electrical engineering
Publication Number: 13884193
ISBN: 978-1-392-18687-9
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