A Hardware Implementation of an Online Frequency Dynamic Parameter Estimation

Quiroz, Juan Eusebio Silva; Perez, R.B.; Chávez, Héctor; Matevosyan, Julija; Sevilla, Félix Rafael Segundo

doi:10.1109/powertech46648.2021.9494789

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…First, the total inertia of the system was determined by an inertia estimation algorithm that captures generation contingency events from the PMU stream data. The data was captured using the laboratory hardware and software described in [24]. This algorithm considers the slope of the actual frequency events, as shown in Figure 7.…”

Section: Recorded Data For Load Inertia Estimationmentioning

confidence: 99%

Frequency and Inertial Response Analysis of Loads in The Chilean Power System

Quiroz,

Perez,

Chávez

et al. 2023

Processes

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The integration of power electronics-interconnected generation systems to the grid has fostered a significant number of concerns on power system operations, particularly on the displacement of synchronous generators that leads to a reduction in the grid’s overall inertia and frequency response. These concerns have raised a significant amount of state-of-the-art mathematical proposals on how to estimate system inertia; however, the majority of the proposals do not differentiate generator inertia from load inertia. When inertia prediction for control room applications is required in real-time, the current state-of-the-art proposals use the inertia of generators as a proxy for a minimum, overall inertia estimate, counting the number of units committed in real-time and adding up their inertia. However, as dynamic conditions are becoming challenging with the integration of power electronics-interconnected generation systems, it is important to quantify the amount of inertia from the loads, for which the state-of-the-art proposals present very limited advancement, particularly in applications with real data. This work presents a set of recorded actual events in the Chilean power system to estimate the contribution of loads to inertia and frequency response to assess whether the loads have a significant role in frequency stability. The contribution of this work is as follows: first, reporting real data of a power system from the PMU and SCADA systems that are usually classified as not public; and, second, to derive a conclusion from the data to assess the role of loads in frequency stability in a real case.

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Section: Recorded Data For Load Inertia Estimationmentioning

confidence: 99%

Frequency and Inertial Response Analysis of Loads in The Chilean Power System

Quiroz,

Perez,

Chávez

et al. 2023

Processes

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“…The main purpose of the algorithm is to identify the parameters of the model depicted in Figure 1 to identify actual data that is captured with the hardware described above. More explanatory details on the algorithm are found in [33,34]. The general structure of the identification algorithm is shown in Figure 5, and it was built by using Python and Matlab.…”

Section: Data Analytics Algorithmsmentioning

confidence: 99%

Data-Driven, Web-Based Parameter Identification for a Reduced-Order Model of the Chilean Power System

et al. 2022

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The current need for power-system control-room operational tools to increase real-time situational awareness has led to various proposals on data analytics algorithms to obtain operational information from SCADA and PMU power system networks. Most of the proposals are implemented in simulation, with reduced practical significance for system operators. This work proposes a web-based simple algorithm to identify the dynamic parameters of a reduced-order model of power system frequency dynamics that is implemented with industrial hardware on a PMU network in the Chilean power system. To demonstrate the applicability of the proposed tool, the algorithm is implemented in a web page with real-time monitoring of the frequency of the Chilean power system, so that utilities and academic institutions with access to PMU measurements can apply the proposed concepts regardless of the topology of the monitored system.

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“…Several authors have investigated the possible challenges when measuring the RoCoF since its behaviour might determine a possible loss of stability or poorly control performance. A study showing the impact of the RoCoF location measurements is shown in [16], the susceptibility of RoCoF measurements to common power system disturbances such as phase steps is described in [17], the settings of RoCoF relays during islanding are studied in [18], an on-line frequency estimator is proposed in [19], and implementing a digital filter and consecutive data-points for inertia estimation and a comparison of frequency estimation techniques are explored in [20]. A study of several variations of PLL for PMU application is presented in [21], investigating the update rate of frequency and RoCoF measurements with high accuracy under off-nominal frequency scenarios.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Inertia Response and Rate of Change of Frequency in Low Rotational Inertial Scenario of Synchronous Dominated System

et al. 2021

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The shift to a sustainable energy future is becoming more reliant on large-scale deployment of renewable and distributed energy resources raising concerns about frequency stability. Rate of Change of Frequency (RoCoF) is necessary as a system inertia metric in order for network operators to perform control steps to preserve system operation. This paper presents in a straightforward and illustrative way several relevant aspects of the inertia response and RoCoF calculation that could help to understand and explain the implementation and results of inertial response controllers on power converter-based technologies. Qualitative explanations based on illustrative numerical experiments are used to cover the effects on the system frequency response of reduced rotational inertia in synchronous dominated power systems. One main contribution of this paper is making evident the importance of the governor action to avoid the synchronous machine taking active power from the system during the recovering period of kinetic energy in an under frequency event.

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A Hardware Implementation of an Online Frequency Dynamic Parameter Estimation

Cited by 6 publications

References 14 publications

Frequency and Inertial Response Analysis of Loads in The Chilean Power System

Frequency and Inertial Response Analysis of Loads in The Chilean Power System

Data-Driven, Web-Based Parameter Identification for a Reduced-Order Model of the Chilean Power System

Investigation of Inertia Response and Rate of Change of Frequency in Low Rotational Inertial Scenario of Synchronous Dominated System

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