DPMU-based multiple event detection in a microgrid considering measurement anomalies

Som, Shreyasi; Dutta, Rajarshi; Gholami, Amir; Srivastava, Anurag K.; Chakrabarti, Saikat; Sahoo, Soumya Ranjan

doi:10.1016/j.apenergy.2021.118269

Cited by 19 publications

(3 citation statements)

References 29 publications

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“…Due to differences in the timing of data collection by load terminals for low-voltage distribution networks, real-time measurement data is considered quasi real-time measurement data, and there are also certain differences in the collection time of this measurement data, which will affect the real-time performance of the measurement data to a certain extent [5][6]. For real-time measurement data, we use the difference algorithm to process the measurement data collected by each measurement terminal, so that they are all collected at the same time to form real-time data.…”

Section: Processing Of Measurement Data For Low-voltage Distribution ...mentioning

confidence: 99%

Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement

Wang,

Guo

2024

J. Phys.: Conf. Ser.

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This project takes high-penetration distributed photovoltaic access as the background and studies the control method for low voltage and high penetration distributed photovoltaic access. Firstly, by analyzing the measured data of the low-voltage distribution network, the daily load and measured values of the low-voltage distribution network were obtained. On this basis, the topology structure of a high-penetration distributed photovoltaic grid-connected system is studied, and the voltage, current, power, and other parameters of the grid-connected system are obtained. A low-voltage and high-penetration distributed photovoltaic grid-connected control method based on a genetic algorithm is adopted. Experiments have shown that the maximum allowable capacity of this scheme is smaller than the standard value and can effectively suppress voltage fluctuations. The experimental results show that the system has good grid connection performance, which is of great significance for improving the operational stability and efficiency of low-voltage distribution systems.

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Section: Processing Of Measurement Data For Low-voltage Distribution ...mentioning

confidence: 99%

Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement

Wang,

Guo

2024

J. Phys.: Conf. Ser.

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“…The method can distinguish between internal, external, and severe no-fault circumstances. [194] This method is dependable and flexible for different microgrid networks without requiring system model data or depending on particular disruption characteristics because it uses a regressive vector model, an indicator function to separate events from inaccurate measurements.…”

Section: Ref No Contributionmentioning

confidence: 99%

Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units

et al. 2023

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The emerging smart-grid and microgrid concept implementation into the conventional power system brings complexity due to the incorporation of various renewable energy sources and non-linear inverter-based devices. The occurrence of frequent power outages may have a significant negative impact on a nation’s economic, societal, and fiscal standing. As a result, it is essential to employ sophisticated monitoring and measuring technology. Implementing phasor measurement units (PMUs) in modern power systems brings about substantial improvement and beneficial solutions, mainly to protection issues and challenges. PMU-assisted state estimation, phase angle monitoring, power oscillation monitoring, voltage stability monitoring, fault detection, and cyberattack identification are a few prominent applications. Although substantial research has been carried out on the aspects of PMU applications to power system protection, it can be evolved from its current infancy stage and become an open domain of research to achieve further improvements and novel approaches. The three principal objectives are emphasized in this review. The first objective is to present all the methods on the synchro-phasor-based PMU application to estimate the power system states and dynamic phenomena in frequent time intervals to observe centrally, which helps to make appropriate decisions for better protection. The second is to discuss and analyze the post-disturbance scenarios adopted through better protection schemes based on accurate and synchronized measurements through GPS synchronization. Thirdly, this review summarizes current research on PMU applications for power system protection, showcasing innovative breakthroughs, addressing existing challenges, and highlighting areas for future research to enhance system resilience against catastrophic events.

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“…The relevant data about microgrid is required in these approaches for the examination of relation between input and output variables to identify an event. This required data is collected through PMU measurement points and it has to be processed through machine learning or signal processing approaches for the situational awareness of the events in the microgrids (Casagrande et al, 2014;Som et al, 2022). Moreover, extraction and analysis of time-frequency characteristics has been achieved by pre-processing the input signal with the adoption of DSP approaches viz.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs)

Singh,

Goyal,

Siddiqui

et al. 2024

Int. j. math. eng. manag. sci.

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Effective microgrid control for system recovery and restoring normal operation necessitates fast event detection and implementation of remedial action (if need arises). However, fast and reliable event detection in microgrids is challenging because of low observability and inconsistencies in measurements. A novel technique is proposed in the present work for the real-time event detection and to identify the various emerging abnormalities in the microgrid. The continuous energy signature using TKEO (Teager-Kaiser Energy Operator) of the continuous varying voltage and frequency signal are extracted through μPMU. REII (Robust Event Identification Index) is constructed from these energy signatures and based on its abrupt post-event deviation from the nominal values an event is flagged in the proposed method. The proposed method is data–driven and only depends on the real-time inputs through μPMUs thus it automatically adapts the uncertainties associated with the intermittent sources of energy in the microgrid under different operating conditions. The traditional event detection techniques fail in identification of abnormalities for a microgrid connected to the transmission systems and equipped with multiple DERs such as PVDG, WG etc. To address this challenge, an integrated microgrid with multiple DERs viz. PVDG, WG and a SG (Synchronous Generator) is first developed in this work. The complexity of simultaneous operation of a static generator i.e. PVDG along with a rotor-based generator such as WG and SG is handled by the modeling the dynamic controllers of PVDG and WG for their frequency and voltage control. The simulation results depict the efficiency, accuracy and robustness of the proposed technique in terms of estimation time, event accuracy and applicability in all types of events. Moreover, the presented methodology is also compared with the four AI/ML based methods to highlight the superiority of the method.

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DPMU-based multiple event detection in a microgrid considering measurement anomalies

Cited by 19 publications

References 29 publications

Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement

Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement

Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units

A Novel Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs)

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