Power Quality Monitoring using PMU

Kumar, Surender; Soni, M. K.; Jain, Dinesh Kumar

doi:10.5120/ijca2016908366

Cited by 10 publications

(3 citation statements)

References 17 publications

(20 reference statements)

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“…To ensure the reliable and efficient delivery of electricity to end consumers there are some requirements that need to be achieved: Refs. [28][29][30][31].…”

Section: Micro Phasor Measurement Unit In Distribution Networkmentioning

confidence: 99%

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Optimal Placement of μPMUs in Distribution Networks with Adaptive Topology Changes

Hassini,

Fakhfakh,

Derbel

2023

Energies

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With the increasing integration of energy sources and the growing complexity of distribution networks, it is crucial to monitor and early detection of topological changes to ensure grid stability and resilience. Current methods, for optimizing the placement of micro Phasor Measurement Units (μPMUs) focus on achieving observability and efficient monitoring. These algorithms aim to minimize the number of μPMUs needed while maintaining system observability or meeting criteria for observability. However, they may not consider all real-world constraints and uncertainties. In this study, we introduce a strategy for placing μPMUs with the objective of enhancing observability and monitoring capabilities. Our proposed algorithm employs a technique that makes optimal decisions at each step to approximate the global optimum. To determine the locations for μPMUs our algorithm takes into account parameters such as network structure, key nodes, and system stability. One distinguishing feature is its adaptability to distribution networks, including changes, in topology or potential device failures. Unlike classical approaches, our algorithm can continuously provide optimal placement solutions even in evolving network conditions. We have demonstrated that our suggested method achieves better results in terms of observability value and the required number of μPMUs compared to the state-of-the-art. By strategically placing μPMUs, operators can improve system observability, quickly detect and locate faults, and make informed decisions for effective network operations. This research helps improve optimal placement strategies for μPMUs by providing practical and effective solutions to improve distribution network reliability, resilience, and performance in the face of changing dynamics.

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“…To ensure the reliable and efficient delivery of electricity to end consumers there are some requirements that need to be achieved: Refs. [28][29][30][31].…”

Section: Micro Phasor Measurement Unit In Distribution Networkmentioning

confidence: 99%

“…One node is a generator bus and the others are load buses (Figure 12). The algorithm reaches the observability and it gives 12 µPMUs implemented in nodes 3,29,2,4,9,12,15,19,22,25,33,30. SORI is equal to 46.…”

Section: Ieee 37-node Networkmentioning

confidence: 99%

Optimal Placement of μPMUs in Distribution Networks with Adaptive Topology Changes

Hassini,

Fakhfakh,

Derbel

2023

Energies

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“…relying on the Taylor's series of the fundamental phasor as suggested in [19]), tend to react more promptly to possible voltage variations (especially in the presence of step-like changes [20]), the underlying general detection limitations of the IEC Standard algorithm still persist. For the same reason, even if adapting existing phasor estimation algorithms to PQ monitoring problems can speed up event detection [21], [22], [23], the analysis of RVCs based on Phasor Measurement Units (PMU) suffers from various drawbacks [24]. Of course, RVC detection results can be also affected by measurement uncertainty, since not only the individual RMS voltage values, but also the detection thresholds depend on measurement data [25].…”

Section: Introductionmentioning

confidence: 99%

Rapid Voltage Change Detection: Limits of the IEC Standard Approach and Possible Solutions

Macii

Petri

2020

IEEE Trans. Instrum. Meas.

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Rapid Voltage Changes (RVCs) are Power Quality (PQ) events characterized by small and fast transitions between two steady-state Root Mean Square (RMS) voltage levels. RVCs occur quite often at the distribution level and are expected to be even more frequent in the future due to the increasing penetration of dynamic loads and renewable-based generators in the smart grid. Unlike other PQ events, RVCs are less critical, but also more difficult to detect than dips/sags and swells, due to their smaller voltage variations. Nevertheless, they can be harmful for generators control systems and electronic equipment in general. Moreover, they strongly affect flicker. The IEC Standard 61000-4-3:2015 clearly describes an algorithm for RVC detection. However, this approach is poorly characterized in the scientific literature. In fact, it suffers from some drawbacks. In this paper, some of them (e.g. rate-dependent detection limits and detection delays) are analyzed in depth. In addition, an alternative approach based on the estimation of the rate of change of RMS voltage is proposed. Multiple simulation results show that the approach considered is more sensitive to noise, but also faster, especially when not so fast RVCs occur. Moreover, it allows to measure the rate of change of RMS voltage, which is currently disregarded in the IEC Standard.

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On the detection of Rapid Voltage Change (RVC) events for power quality monitoring

Macii

Petri

2017

2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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Power Quality Monitoring using PMU

Cited by 10 publications

References 17 publications

Optimal Placement of μPMUs in Distribution Networks with Adaptive Topology Changes

Optimal Placement of μPMUs in Distribution Networks with Adaptive Topology Changes

Rapid Voltage Change Detection: Limits of the IEC Standard Approach and Possible Solutions

On the detection of Rapid Voltage Change (RVC) events for power quality monitoring

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