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- W3121829653 abstract "This paper proposes a service restoration model for unbalanced distribution systems and inverter-dominated microgrids (MGs), in which frequency dynamics constraints are developed to optimize the load pick-up during restoration process and guarantee frequency stability. After extreme events, the damaged distribution systems can be sectionalized into several isolated MGs to restore critical loads and tripped distributed generations (DGs) by black-start DGs. However, the high penetration of inverter-based DGs reduce the system inertia, which results in low-inertia issues and large frequency fluctuation during the restoration. To address this challenge, we formulate a sequential service restoration model as a mixed integer linear programming (MILP) problem. The proposed MILP model explicitly incorporates the frequency response into constraints, by interfacing with transient simulations of inverter-dominated MGs. Numerical results on a modified IEEE 123-bus system have validated that the frequency dynamic performance of the proposed service restoration model are indeed improved." @default.
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- W3121829653 date "2021-01-16" @default.
- W3121829653 modified "2023-09-27" @default.
- W3121829653 title "Frequency Dynamics Constrained Sequential Service Restoration in Inverter-Dominated Microgrids." @default.
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