Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling

Fan, Lingling; Miao, Zhixin; Shah, Shahil; Koralewicz, Przemyslaw; Gevorgian, Vahan; Fu, Jian

doi:10.1109/mpe.2022.3150827

Cited by 36 publications

(15 citation statements)

References 6 publications

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“…Reference [7] On the other hand, it is still unclear how to best represent multiple IBRs with different control schemes in bulk power system simulations [25]. Related to this, more research on the small-signal synchronization stability of GFMs is needed and instead of designoriented analysis, which are more applicable to single IBR systems, new reduced-order or data-driven modeling methods for future power systems with huge amount of IBRs are needed [26]. Further development of tools like real-time simulators [27] and grid emulators is also highly important.…”

Section: ) Active and Reactive Power Control Schemesmentioning

confidence: 99%

Improvement of Power System Frequency Stability With Universal Grid-Forming Battery Energy Storages

Laaksonen

2023

IEEE Access

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Large-scale integration of inverter-based renewable generation leads to the reduction of power systems' natural inertia. Therefore, the dynamics of the future power systems will be more sensitive than in the traditional systems with high-inertia rotating synchronous generators. This development is a potential risk for frequency stability and requires utilization of rapidly controllable resources for dynamic frequency stability support. Simultaneously, development of new synchronization and control methods for inverterbased resources is needed in order to ensure the frequency and synchronization stability of future power systems. In this paper, a grid-forming and supporting universal frequency-locked-loop -based control and grid synchronization for inverter-based resources is utilized to improve the frequency stability of a small high-voltage network. The simulations are done with PSCAD software and the main focus is on the battery energy storages to evaluate the effect of their location, enhanced control schemes as well as operation mode on frequency stability. In the studies, for example, the effect of battery storages location, active power response related control parameters, communication time delay and input frequency determination on frequency support are studied during charging and discharging of the batteries. Based on the simulations, also new solutions to improve the frequency stability of future variable inertia power systems with universal grid-forming battery storages are proposed.INDEX TERMS Frequency stability, inverter-based resources, grid-forming, battery energy storages, power systems.

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Section: ) Active and Reactive Power Control Schemesmentioning

confidence: 99%

Improvement of Power System Frequency Stability With Universal Grid-Forming Battery Energy Storages

Laaksonen

2023

IEEE Access

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“…Using data-driven methods for dynamic modeling and small-signal analysis has a rich history in power grids [4]. Specifically, in converter and grid interaction analysis, admittance/impedance-based analysis is popular.…”

Section: A Review Of Data-driven Analysis For Multi-ibr Systemsmentioning

confidence: 99%

Data-Driven Interarea Oscillation Analysis for a 100% IBR-Penetrated Power Grid

Zhang

Miao

Fan

et al. 2023

IEEE Open J. Power Energy

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In this research, a 100% inverter-based resource (IBR)-penetrated bulk power system (BPS) is examined for possible interarea oscillations. A testbed of a BPS constructed in PSCAD, with both grid-forming inverter (GFM)-based IBRs and grid-following inverter (GFL)-based IBRs, is utilized for simulation. For linear analysis, a data-driven method is used to obtain the dq admittance models of the IBRs. This information, combined with our knowledge of the network admittance, leads to eigenvalue analysis of the power grid. Furthermore, for the dominant 3-Hz mode, extended frequency-domain mode shape analysis, along with subgroup effect analysis, and network decomposition analysis are conducted. The analysis results can precisely tell the influencing factors of the oscillation mode. This mode is identified as an interarea oscillation mode. It has a different characteristics compared to the traditional electromechanical interarea mode. Specifically, the network decomposition analysis provides new insights on interarea oscillation modes. The analysis results are all confirmed by the electromagnetic transient (EMT) simulation results.

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“…Spatial variation in the Inertial Frequency Response (IFR), due to the non‐homogeneity caused by the large deployment of IBR, requires adequate allocation of PMUs for IFR estimation [87]. Methods for identifying systems based on data are becoming more and more crucial, especially for systems for which physical models are difficult to come by such as IBRs [88]. Thanks to developments in power electronics, we now have better experimental gear than in the past century.…”

Section: Future Considerations Of Low‐inertia Power Systemsmentioning

confidence: 99%

Power system coherency recognition and islanding: Practical limits and future perspectives

Chamorro

Gomez‐Diaz

Paternina

et al. 2022

IET Energy Syst Integration

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Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with sustained or growing amplitudes following a disturbance may eventually lead to instability and provoke a major event such as a blackout. Additionally, with the increasing and considerable share of renewable power generation, unprecedented operational challenges shall be considered when proposing protection schemes against unstable electro-mechanical (e.g. ringdown) oscillations. In an emergency situation, islanding operations enable splitting a power network into separate smaller networks to prevent a total blackout. Due to such changes, identifying the underlying types of oscillatory coherency and the islanding protocols are necessary for a continuously updating process to be incorporated into the existing power system monitoring and control tasks. This paper examines the existing evaluation methods and the islanding protocols as well as proposes an updated operational guideline based on the latest dataanalytic technologies.

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Data-Driven Dynamic Modeling in Power Systems: A Fresh Look on Inverter-Based Resource Modeling

Cited by 36 publications

References 6 publications

Improvement of Power System Frequency Stability With Universal Grid-Forming Battery Energy Storages

Improvement of Power System Frequency Stability With Universal Grid-Forming Battery Energy Storages

Data-Driven Interarea Oscillation Analysis for a 100% IBR-Penetrated Power Grid

Power system coherency recognition and islanding: Practical limits and future perspectives

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