A new approach for df/dt and active power imbalance in power system estimation using Huang’s Empirical Mode decomposition

Dedović, Maja Muftić; Avdaković, Samir

doi:10.1016/j.ijepes.2019.02.044

Cited by 15 publications

(9 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various applications for empirical mode decomposition (EMD) in power systems have been proposed [59][60][61]. Accordingly, [62] presents a three-step EMD-based algorithm for differentiating PS from fault.…”

Section: Signal Processing Methodsmentioning

confidence: 99%

An overview of power swing detection methods in distance relays and the factors involved

Taheri

Hosseini

Salehimehr

2022

IET Generation Trans & Dist

View full text Add to dashboard Cite

Nowadays, due to the simplicity of operation and proper coordination characteristics, distance relays are being extensively used in the protection of power transmission lines. Despite many advantages, the distance relay is exposed to a maloperation when a power swing phenomenon occurs. Power swings may occur due to major disturbances, such as switching lines, generator interruptions, and connecting or disconnecting a large part of the loads, causing outages in healthy lines. Detecting power swing and preventing distance relay maloperation has always been a challenge. In addition, different parameters can have a great impact on the performance of power swing detection methods. In this paper, these parameters and their effects are examined along with various methods for detecting power swings. Accordingly, this comprehensive review covers all aspects of power swing phenomenon and its detection, including causes of power swings, power swing detection methods, determining threshold values in power swing methods, effecting of compensated lines and wind farms in power swing detection methods, and testing power swing function in the distance relays. It is hoped that this study will be helpful for researchers in power system protection to find relevant references and develop new methods for power swing function.

show abstract

Section: Signal Processing Methodsmentioning

confidence: 99%

An overview of power swing detection methods in distance relays and the factors involved

Taheri

Hosseini

Salehimehr

2022

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…In order to avoid the underload or overload shedding, it is necessary to involve the inertia effect of the generator to calculate the total power deficiency more accurately. Within the delay time T D , the power deficiency P 0 acc is compensated jointly by the inertia action of the generator and the static characteristics of the load [19]; the relationship between the power deficiency and the system frequency [20,21] can be represented by Equation (17):…”

Section: Detailed Analysis Of the DC Blocking Fault In The Receiving-mentioning

confidence: 99%

“…The DC connecting point should be changed to PQ bus after the DC blocking fault. Equations (19) and (20) correspond to the PF equations with the time delay T D after the fault occurs, and the initial values of the state variables are θ DW i,s and V DW i,s , respectively. The voltage magnitude V TJ i,s and phase θ TJ i,s can be obtained by solving the PF equations.…”

Section: Detailed Analysis Of the DC Blocking Fault In The Receiving-mentioning

confidence: 99%

Study on Emergency Load Shedding of Hybrid AC/DC Receiving-End Power Grid with Stochastic, Static Characteristics-Dependent Load Model

et al. 2019

View full text Add to dashboard Cite

When large-capacity HVDC (high voltage direct current) transmission line blocking occurs in a hybrid AC/DC (alternating current/direct current) power grid, the receiving-end system will encounter a huge power imbalance, which will lead to a frequency drop and redistribution of the power flow, and which may further lead to the overload of other transmission lines, cascading failures and a large-scale blackout. To resolve these problems, an emergency load-shedding strategy for the DC receiving-end system is proposed from the perspective of a quasi-steady state. The proposed method can accurately calculate the actual total power imbalance by modeling more detailed stochastic loads with static frequency/voltage characteristics and involving the inertia effect of the generator during the response delay period, which can effectively reduce the amount of load curtailment. In addition, several factors affecting the power imbalance estimation in stochastic scenarios and their mechanisms are analyzed in detail, and the key aspects relevant to the DC blocking fault analysis are identified as well. Finally, the influence of different load-shedding strategies on the receiving-end system security after a DC blocking fault is compared with the security indices, including those that are relevant to the frequency/load change proposed herein, and a uniform load-shedding coefficient is obtained via the proposed method, even for different power imbalances under a stochastic context, which makes the load-shedding strategy more practical.

show abstract

“…Another effective signal processing technique recently used in different power system applications is empirical mode decomposition (EMD). In summary, EMD has been used previously for the determination of hybrid energy storage system capacity [20], islanding detection [21], power imbalance [22], and inverter's harmonics identification [23]. In [24], a differential fault detection method is suggested for AC microgrids protection, which uses EMD for detecting faults.…”

Section: Introductionmentioning

confidence: 99%

EMD/HT‐based local fault detection in DC microgrid clusters

et al. 2022

View full text Add to dashboard Cite

DC faults can create serious damages if not detected and isolated in a short time. This paper proposes a fault detection technique for DC faults to enhance the protection of DC microgrid clusters. To detect such faults accurately and quickly, a DC fault detection scheme using empirical mode decomposition and Hilbert transform is proposed. Due to the strict time limits for fault interruption caused by fast high‐rising fault currents in DC systems, DC microgrid clusters' protection remains a challenging task. Furthermore, high impedance faults (HIFs) in DC systems cause a small change in the current, which can damage the power electronic converters if not detected in time. Therefore, this paper proposes a local scheme for the fast detection of faults including HIFs in DC microgrid clusters. Both simulation and experimental results using a scaled DC microgrid cluster prototype and considering several scenarios (such as low impedance faults, HIFs, noise, overload, and bad calibration of sensors) demonstrate the successful and fast detection (less than 2 ms) of DC faults by the proposed method. Compared with other techniques, the proposed scheme presents its merits from the viewpoints of accuracy and speed.

show abstract

A new approach for df/dt and active power imbalance in power system estimation using Huang’s Empirical Mode decomposition

Cited by 15 publications

References 59 publications

An overview of power swing detection methods in distance relays and the factors involved

An overview of power swing detection methods in distance relays and the factors involved

Study on Emergency Load Shedding of Hybrid AC/DC Receiving-End Power Grid with Stochastic, Static Characteristics-Dependent Load Model

EMD/HT‐based local fault detection in DC microgrid clusters

Contact Info

Product

Resources

About