Speaker: Bai Cui, Postdoctoral Researcher at National Renewable Energy Laboratory
Title: Toward Real-Time Resilience of Power Systems
Abstract: This presentation introduces some of our recent work on real-time power system resilience.
In the first part of the talk, we consider the problem of real-time resilience assessment of bulk power system. To certify and control the real-time stability/resilience in an online fashion, we provide a new computationally efficient characterization of the region of attraction of dynamic load models and demonstrate how system instability can be avoided by tracking and reshaping the region of attraction through distributed monitoring and secondary side reactive power support. As a case study, we consider the monitoring and control of load tap-changer (LTC) dynamics.
In the second part of the talk, we introduce a new mathematical formulation to exploit DER flexibility and utilize the capacity potential of aggregate DERs for real-time resilience enhancement of bulk power system. An ellipsoidal inner approximation of the set of feasible power injection trajectories at the substation is constructed based on adaptive robust optimization (ARO), which incorporates uncertainties and intertemporal correlation of DER power output characteristics. Leveraging optimal quadratic and affine policies, tractable safe approximations of the ARO can be obtained. Simulation results on a real feeder demonstrate substantial improvement over the quality of the flexibility region characterization by an existing approach.
The last part of the presentation provides an overview of our recent work on power flow solvability. Solvability conditions provide rigorous certificate on the properties of power flow solutions (existence, uniqueness, and approximate values) without explicitly solving the equations. They provide significant speedup to tasks involving extensive query to power flow oracle either explicitly or implicitly (contingency screening, allowable PV injection determination, robust OPF, etc.) and facilitates real-time decision making.
Biography: Bai Cui is a researcher with the Power Systems Engineering Center at the National Renewable Energy Laboratory (NREL). He received his Ph.D. degree in Electrical Engineering from Georgia Tech in 2018. Prior to joining NREL, he was a postdoctoral appointee with the Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) at Argonne National Laboratory from 2018 to 2019. His research interests are in optimization and stability analysis of power systems with applications in power system resilience and renewable integration.
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