EMI Concerns, Measurements and Standards for Smart Grid

Chhaya, Lipi; Sharma, Paawan; Kumar, Adesh; Bhagwatikar, Govind

doi:10.1007/978-981-15-4246-6_6

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…The main causes of electromagnetic interference include excessive geomagnetic disturbances (GMDs), high altitude electromagnetic pulse (HEMP), intentional electromagnetic interference (IEMI), and others. The industry knows better how to deal with more common EMC threats [5][6][7][8], whereas bringing GMDs as another threat into the picture highlights new facets of reliable power grid operation.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Geomagnetically Induced Currents Impact on Power Grid Modelling

et al. 2023

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Recent history demonstrates that threat has no borders, though risk does, due to national and regional differences in vulnerabilities and exposure landscapes. The difference between well and poorly managed threat is striking. Inequalities in preparing for threats as a function of their type are still apparent. Compared to more concerning electromagnetic interference threats, the impact of geomagnetic disturbance (GMD) on power grid operation is not well studied. The need for detailed research of GMD negative impacts is expected to broaden awareness. The amplitude of geomagnetically induced currents (GICs) is treated as a uniform measure of danger that can be processed by various stakeholders. Hence, methods for increasing the accuracy of GIC representation are presented in this paper. A low-entropy signal is defined and it is shown that the feature of low signal entropy can be used for increasing the accuracy of the measurement equipment. At the end, a full-system view of GMD impact on power grid operation is given.

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Section: Introductionmentioning

confidence: 99%

Assessment of Geomagnetically Induced Currents Impact on Power Grid Modelling

et al. 2023

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“…Indeed, there are several specific issues related to conducted electromagnetic interference (EMI) in distribution networks, such as aggregation of multiple EMI sources, the influence of EMI on the performance of other devices like smart meters, and the CE propagation to the terminals of distribution networks [8]. Hence, accurate modelling of the power cables and their specific features is a key ingredient for the development of simulation tools for the prediction of noise propagation along the grid.…”

Section: Introductionmentioning

confidence: 99%

Cable Effects on Noise Propagation in Distribution Networks with Renewable Sources

Beshir

Liu

et al. 2022

2022 20th International Conference on Harmonics &Amp; Quality of Power (ICHQP)

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The development of power electronics for the integration of renewable energy sources in power distribution networks leads to increasing issues in terms of coexistence with communication systems, e.g., those based on powerline communications. This is due to the high-frequency noise currents, conducted emissions (CE), which, generated by power electronics devices, can propagate along the network through power cables. With the objective to provide guidelines to assure coexistence with communications systems, in this work a LV/MV distribution network is modelled and simulated in the frequency domain to predict the noise in different branches and to identify the factors that mostly affect CE propagation. The analysis mainly focuses on the effects due to power cables, and puts in evidence the need for their accurate modelling through transmission line theory in order to account for different cable features, such as per-unit-length parameters, cable length, and terminal conditions, which influence CE propagation.

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“…With the wide diffusion of renewable energy systems in distribution networks, such as photovoltaic (PV) and wind farm systems, the conducted emission (CE) generated by the power electronics converters, propagating to both the smart grid and the PV-panel sides, could affect the normal operation of the network [1]. In recent years, there are several reports about the malfunctions of energy meters due to interference with the noise generated by the power converters used in PVinverter systems [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Un-terminated Black-Box EMI Models of Power Converters Driven by Random Modulation Strategies

Beshir

Liu

et al. 2022

2022 International Symposium on Electromagnetic Compatibility – EMC Europe

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Due to the development of renewable energy systems, there is an increasing need for tools to predict the Conducted Emissions (CE) exiting from power inverters, so to provide guidelines for optimal filter design. The objective is not only to limit the high-frequency noise injected into the distribution network (ac side) but also to protect the electronic circuitry on the dc side of the inverter. Hence, it is necessary to derive Electromagnetic Interference (EMI) models of the power inverter at both sides of the device. To this end, the (ac-side) behavioral model presented in previous works is here extended to predict the CE exiting both sides of a power inverter interfacing a PV panel to the distribution grid. Besides, suitable conditions for applying black-box modelling in the presence of random modulation strategies are investigated. It is proven that model effectiveness mainly depends on the base switching frequency and frequency band, while the effect of randomness does not significantly degrade prediction accuracy.

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EMI Concerns, Measurements and Standards for Smart Grid

Cited by 7 publications

References 21 publications

Assessment of Geomagnetically Induced Currents Impact on Power Grid Modelling

Assessment of Geomagnetically Induced Currents Impact on Power Grid Modelling

Cable Effects on Noise Propagation in Distribution Networks with Renewable Sources

Un-terminated Black-Box EMI Models of Power Converters Driven by Random Modulation Strategies

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