Global Optimality of Inverter Dynamic Voltage Support
Autor: | Yifei Guo, Bikash C. Pal, Rabih A. Jabr, Hua Geng |
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Přispěvatelé: | Engineering & Physical Science Research Council (EPSRC) |
Rok vydání: | 2022 |
Předmět: |
Technology
Energy Engineering and Power Technology Synchronization dynamic voltage support (DVS) CAPABILITY Engineering Power system dynamics GRIDS Electrical and Electronic Engineering FAULT-RIDE-THROUGH Science & Technology Energy POWER-PLANTS STABILITY CONVERTER MAXIMIZE positive-sequence voltage Stability analysis inverter-based resources (IBRs) Engineering Electrical & Electronic Inverters CONTROL STRATEGY Power system stability optimality 0906 Electrical and Electronic Engineering Power quality Voltage control GENERATION INVERTERS Grid-connected inverter SYSTEM |
Zdroj: | IEEE Transactions on Power Systems. 37:3947-3957 |
ISSN: | 1558-0679 0885-8950 |
DOI: | 10.1109/tpwrs.2021.3133715 |
Popis: | This paper investigates the dynamic voltage support (DVS) of inverter-based resources (IBRs) under voltage sags to enhance the low-voltage ride-through performance. The DVS problem is formulated as a nonconvex optimization program that maximizes the positive-sequence voltage magnitude at the point of common coupling (PCC) subject to the current, active power, and synchronization stability constraints. Then, we perform the optimality analysis to explore the global optimum analytically. It is found that the unique global optimum has three scenarios/stages (S1S3), which depends on the specific relationship among grid voltage, grid strength, and physical limits of IBRs. The explicit closed-form solutions in S1 and S3 are derived, and the optimality conditions (an implicit solution) of S2 are provided, which guarantees the global optimality and enables the compatibility with fast real-time control. Finally, we implement the optimum with a grid-connected single-stage photovoltaic (PV) power plant by integrating a DVS controller. Dynamic simulations are carried out under different scenarios to test our proposal. The robustness against model errors is also discussed. Dynamic simulations are carried out under different scenarios to test our proposal and compare it with other existing methods. |
Databáze: | OpenAIRE |
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