Distributed monitoring system for voltage dip classification over distribution grid

Rinaldi, Stefano; Giustina, Davide Della; Ferrari, Paolo; Flammini, A.

doi:10.1016/j.segan.2016.02.004

Cited by 31 publications

(7 citation statements)

References 33 publications

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“…The data obtained during measurements for industrial sites [14] and measurements in medium and low voltage distribution network [15] indicate several essential facts regarding the voltage drop:…”

Section: Testing Of Vector Controlled Asdsmentioning

confidence: 91%

Voltage Sag Sensitivity of Industrial Vector Controlled Induction Motor Drives – A Comparative Study

et al. 2017

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Sensitivity of adjustable speed drives (ASDs) on voltage sag events represents one of the most challenging problems in modern industrial facilities. In this paper, a comprehensive experimental verification of vector-controlled ASDs is conducted under the most-frequent sag types. The obtained results are faced with static and dynamic requirements in speed and torque controlled applications. Besides influence of DC-link parameters, selection of the applied control method and the controller settings can have crucial impact on performance deterioration. Examined industrial ASDs exhibited voltage sag susceptibility with fault error codes under the deeper voltage sags, while under the voltage sags with residual voltage above undervoltage limit they showed speed degradation.

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Section: Testing Of Vector Controlled Asdsmentioning

confidence: 91%

Voltage Sag Sensitivity of Industrial Vector Controlled Induction Motor Drives – A Comparative Study

et al. 2017

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“…As an example, by 2030, greenhouse gas (GHG) emissions could be reduced by up to 1.5 billion metric tons CO 2eq annually, mainly through a massive transformative change in the transport systems in the world's 724 largest cities [9]. The availability of a pervasive communication infrastructure, wireless [10] or cable [11], in the city of the future is a prerequisite to enable services and solutions to improve sustainability in the use of the energy resources [12,13].…”

Section: Introductionmentioning

confidence: 99%

Security Assessment of Urban Areas through a GIS-Based Analysis of Lighting Data Generated by IoT Sensors

et al. 2020

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The current perspective about urban development expects 70% of energy consumption will be concentrated in the cities in 2050. In addition, a growing density of people in the urban context leads to the need for increased security and safety for citizens, which imply a better lighting infrastructure. Smart solutions are required to optimize the corresponding energy effort. In developing countries, the cities’ lighting is limited and the lighting world map is strongly significant about the urban density of the different areas. Nevertheless, in territories where the illumination level is particularly high, such as urban contexts, the conditions are not homogenous at the microscale level and the perceived security is affected by artificial urban lighting. As an example, 27.2% of the families living in the city of Milan, ombardy Region, Italy, consider critical the conditions of lighting in the city during the night, although the region has diffused infrastructure. The paper aims to provide a local illuminance geographic information system (GIS) mapping at the neighborhood level that can be extended to the urban context. Such an approach could unveil the need to increase lighting to enhance the perceived safety and security for the citizens and promote a higher quality of life in the smart city. Lighting mapping can be matched with car accident mapping of cities and could be extended to perceived security among pedestrians in urban roads and green areas, also related to degradation signs of the built environment. In addition, such an approach could open new scenarios to the adaptive street lighting control used to reduce the energy consumption in a smart city: the perceived security of an area could be used as an additional index to be considered during the modulation of the level of the luminosity of street lighting. An example of a measurement set-up is described and tested at the district level to define how to implement an extensive monitoring campaign based on an extended research schema.

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“…While the measurement problems associated with other PQ phenomena such as flicker [10], [11], [12], harmonics and interharmonics [13], [14], or voltage dips/sags and swells [15], [16], [17], have been already analyzed in depth over the last 20 years, till now RVCs have received little attention from the scientific community due to their lower impact on PQ. As a consequence, RVC detection and measurement techniques are still poorly characterized from the metrological viewpoint.…”

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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Distributed monitoring system for voltage dip classification over distribution grid

Cited by 31 publications

References 33 publications

Voltage Sag Sensitivity of Industrial Vector Controlled Induction Motor Drives – A Comparative Study

Voltage Sag Sensitivity of Industrial Vector Controlled Induction Motor Drives – A Comparative Study

Security Assessment of Urban Areas through a GIS-Based Analysis of Lighting Data Generated by IoT Sensors

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

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