Fast Active Power-Frequency Support Methods by Large Scale Electrolyzers for Multi-Energy Systems

Veerakumar, Nidarshan; Ahmad, Zaki; Adabi, M. Ebrahim; Rueda, José L.; Pálenský, Peter; Meijden, Mart A. M. M. van der; González-Longatt, Francisco

doi:10.1109/isgt-europe47291.2020.9248949

Cited by 15 publications

(19 citation statements)

References 22 publications

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“…Recent studies adopt EMT simulations for the grid-scale transient stability and voltage analyses although phasor domain simulations have been a major method for such analyses. Inverters are recently expected to support the grid voltage and frequency by the active and reactive power control [12], [13], or grid-forming control [14]- [16]. EMT simulations are suitable for modeling and simulating these inverter controls in detail.…”

Section: Transient Stability and Voltage Analysesmentioning

confidence: 99%

Comparison and Selection of Grid-Tied Inverter Models for Accurate and Efficient EMT Simulations

Sano

Horiuchi

Noda

2022

IEEE Trans. Power Electron.

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This paper compares five modeling methods of gridtied inverters for the electromagnetic transient (EMT) simulation of power system, clarifies their differences, and discusses the suitable model for each simulation purpose. The comparison was made under the same conditions between the conventional switching (SW) model, and four simplified models: Voltage interpolation (VI), average-value (AV), controlled current-injection (CCI), and simplified current-injection (SCI) model. The comparison of the simulated waveforms clarifies the behaviors that can be simulated and cannot be simulated by each simplified model. The comparison of the computing time reveals the significant decrease of the computing time by selecting the proper simplified modeling method. Based on these comparisons, this paper discusses the selection of the modeling methods for each simulation purpose to perform simulations accurately and efficiently.

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Section: Transient Stability and Voltage Analysesmentioning

confidence: 99%

Comparison and Selection of Grid-Tied Inverter Models for Accurate and Efficient EMT Simulations

Sano

Horiuchi

Noda

2022

IEEE Trans. Power Electron.

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“…In this approach, the input signal of the FAPI controller is the power deviation instead of frequency in other methods. The active power loop control on VSP has a second-order characteristic, which has the simultaneous influence of damping and inertia emulation of the system [23,24].…”

Section: Motivation Behind the Proposed Phil Setupmentioning

confidence: 99%

Power Hardware-in-the-Loop-Based Performance Analysis of Different Converter Controllers for Fast Active Power Regulation in Low-Inertia Power Systems

et al. 2021

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Future electrical power systems will be dominated by power electronic converters, which are deployed for the integration of renewable power plants, responsive demand, and different types of storage systems. The stability of such systems will strongly depend on the control strategies attached to the converters. In this context, laboratory-scale setups are becoming the key tools for prototyping and evaluating the performance and robustness of different converter technologies and control strategies. The performance evaluation of control strategies for dynamic frequency support using fast active power regulation (FAPR) requires the urgent development of a suitable power hardware-in-the-loop (PHIL) setup. In this paper, the most prominent emerging types of FAPR are selected and studied: droop-based FAPR, droop derivative-based FAPR, and virtual synchronous power (VSP)-based FAPR. A novel setup for PHIL-based performance evaluation of these strategies is proposed. The setup combines the advanced modeling and simulation functions of a real-time digital simulation platform (RTDS), an external programmable unit to implement the studied FAPR control strategies as digital controllers, and actual hardware. The hardware setup consists of a grid emulator to recreate the dynamic response as seen from the interface bus of the grid side converter of a power electronic-interfaced device (e.g., type-IV wind turbines), and a mockup voltage source converter (VSC, i.e., a device under test (DUT)). The DUT is virtually interfaced to one high-voltage bus of the electromagnetic transient (EMT) representation of a variant of the IEEE 9 bus test system, which has been modified to consider an operating condition with 52% of the total supply provided by wind power generation. The selected and programmed FAPR strategies are applied to the DUT, with the ultimate goal of ascertaining its feasibility and effectiveness with respect to the pure software-based EMT representation performed in real time. Particularly, the time-varying response of the active power injection by each FAPR control strategy and the impact on the instantaneous frequency excursions occurring in the frequency containment periods are analyzed. The performed tests show the degree of improvements on both the rate-of-change-of-frequency (RoCoF) and the maximum frequency excursion (e.g., nadir).

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“…The phase system identification refers to the process of mathematical models by using appropriate measurements of the dynamic system's input and output signals [14], [15]. If appropriate measurement data of the system's input and outputs are available, the system identification process is straightforward.…”

Section: Prepare System Identificationmentioning

confidence: 99%

System Parameter Identification of Thermal Generation Unit in the Mongolian Electrical Grid: Real-Life Frequency Response Test

Adiyabazar¹,

González-Longatt

Acosta

et al. 2021

2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)

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Mongolian power grid (MPG) is becoming more eco-friendly as the power system is continuously integrating renewable energy, which reached 20% of the total installed capacity of Mongolia in 2020. With such growth of renewable energy in the system, the daily operation and the safety of the MPG has become a challenge. Therefore, the dynamic behaviour of conventional power plants (CPPs) must be demonstrated to fulfil the requirements of integrating more renewable energy in the MPG, especially for frequency stability. This paper illustrates the results of the system parameter identification of an actual steam turbine and a governor system with PID controller by using a real-life test performed on Generator 1 (G1) of the biggest thermal power plant (TPP-4) in Mongolia on 6 th March 2020. The main contribution of this paper is to clear uncertainties about the PID controller's parameters installed in the steam turbine of G1 in early 2019, as a consequence, giving the system operator an accurate dynamic model of the generation unit. The steam turbine and governor are modelled in DIgSILENT® PowerFactory, and the Particle Swarm Optimization (PSO) method is used for identifying the parameters of the PID controller of the G1 at TPP-4. Simulation results from the PowerFactory software matched firmly (error <0.3%) with the measured frequency from the Phasor Measurement Unit (PMU).

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Fast Active Power-Frequency Support Methods by Large Scale Electrolyzers for Multi-Energy Systems

Cited by 15 publications

References 22 publications

Comparison and Selection of Grid-Tied Inverter Models for Accurate and Efficient EMT Simulations

Comparison and Selection of Grid-Tied Inverter Models for Accurate and Efficient EMT Simulations

Power Hardware-in-the-Loop-Based Performance Analysis of Different Converter Controllers for Fast Active Power Regulation in Low-Inertia Power Systems

System Parameter Identification of Thermal Generation Unit in the Mongolian Electrical Grid: Real-Life Frequency Response Test

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