Power Grid Optimal Topology Control Considering Correlations of System Uncertainties
This paper presents a probabilistic formulation and solution technique for the application of DC optimal power flow (DCOPF)-based network topology control through the transmission line switching strategies. Efficient utilization of the point estimation method (PEM) is pursued to model the system uncertainties, i.e., the stochastic load profile and the intermittent renewable generation. In order to address the computational effectiveness of the suggested probabilistic methodology, the PEM formulation is harnessed by a scenario reduction approach to capture the correlations of the system uncertainties, thereby achieving a more robust and faster operation solution for day-ahead and real-time applications. The proposed approach is applied to a modified IEEE 118-bus test system, where it demonstrates its attractive performance under different test scenarios.
The widespread deployment of smart heterogeneous technologies and the growing complexity in our modern society calls for effective coordination of the interdependent lifeline networks.
This paper presents a model predictive control (MPC)-based scheme in power distribution systems focused on protective control of distributed energy resources (DER) assuring performance resiliency…
This paper presents a probabilistic formulation and solution technique for the application of DC optimal power flow (DCOPF)-based network topology control through the transmission line switching…