Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4945720 | International Journal of Electrical Power & Energy Systems | 2017 | 11 Pages |
Abstract
Blackstart capability is essential for power system restoration following a blackout. System restoration planners determine the restoration sequences to provide cranking power from blackstart units (BSUs) to non-blackstart units (NBSUs), pick up critical loads, and energize the necessary transmission paths. This paper proposes a new algorithm for optimization of the restoration actions. An optimal search algorithm is proposed to determine the plan to crank NBSUs through the selected paths of transmission lines. Assuming that the generation capability of a BSU is constant, the method is used to optimize the overall system MWHr generation capabilities from NBSUs. To reduce the computational complexity of system restoration planning, a new generator model is proposed that results in a linear integer programming (IP) formulation. Linearity of the IP problem formulation ensures that the global optimality is achieved. The optimal power flow (OPF) is used to examine the feasibility of planned restoration actions. Test cases from the IEEE 39-bus system, ISO New England system, and Duke-Indiana system are used to validate the proposed algorithm. Numerical simulations demonstrate that the proposed method is computationally efficient for real-world power system cases.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yazhou Jiang, Sijie Chen, Chen-Ching Liu, Wei Sun, Xiaochuan Luo, Shanshan Liu, Navin Bhatt, Sunitha Uppalapati, David Forcum,