A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints

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 amount of load restoration and guarantee the dynamic performance of system frequency response during the...

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Vydané v:IEEE transactions on smart grid Ročník 12; číslo 5; s. 3835 - 3846
Hlavní autori: Zhang, Qianzhi, Ma, Zixiao, Zhu, Yongli, Wang, Zhaoyu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.09.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Constraint modelling
Distributed generation
Engineering
Frequency dynamics
Frequency response
Generators
Inertia
Integer programming
inverter-dominated microgrids
Inverters
Linear programming
Load modeling
Mixed integer
network reconfiguration
Numerical models
Optimization
Reactive power
Service restoration
Simulation
simulation-based optimization
Stress concentration
Switches
Transient analysis
ISSN:1949-3053, 1949-3061
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Shrnutí: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 amount of load restoration and guarantee the dynamic performance of system frequency response during the restoration process. After extreme events, the damaged distribution systems can be sectionalized into several isolated MGs to restore critical loads and tripped non-black start distributed generations (DGs) by black start DGs. However, the high penetration of inverter-based DGs reduces the system inertia, which results in low-inertia issues and large frequency fluctuation during the restoration process. To address this challenge, we propose a two-level simulation-assisted sequential service restoration model, which includes a mixed integer linear programming (MILP)-based optimization model and a transient simulation model. The proposed MILP model explicitly incorporates the frequency response into constraints, by interfacing with transient simulation 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.
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USDOE Office of Energy Efficiency and Renewable Energy (EERE)
EE0008956
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2021.3088006