Low voltage state estimation based operation analysis of smart distribution assets

Táczi, István; Vokony, István; Hartmann, B.; Péter, Gábor Mihály

doi:10.1109/iyce54153.2022.9857527

Cited by 1 publication

(3 citation statements)

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“…Te connection of an inverterbased SVR is depicted in Figure 9. Te voltage levels of a system with and without an SVR from a Hungarian pilot project [29] are shown in Figure 10. Basically, the main task of an SVR is to divide the circuit into two parts.…”

Section: Smart Assets In the Dssementioning

confidence: 99%

“…Figure 10 shows the voltage at the two sides of the SVRuncontrolled point (Figure 10(a)) and SVR controlled point (Figure 10(b)) [29].…”

Section: Smart Assets In the Dssementioning

confidence: 99%

“…Process. DSOs are currently embracing diferent smart grid solutions, which our research group reviewed in a previous paper thoroughly[29]. At the high voltage substation level, OLTC transformers are extensively applied; meanwhile, MV/LV transformers usually lack this device.…”

mentioning

confidence: 99%

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Role of Voltage Control Devices in Low Voltage State Estimation Process

Táczi,

Vokony,

Barancsuk

et al. 2023

International Transactions on Electrical Energy Systems

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Megatrends, such as the proliferation of distributed generation, electrification, and the appearance of aggregator companies, put the low voltage power grids under intense pressure. Since the network infrastructure developments cannot keep up with the trends, distribution system operators turned to alternative solutions. Smart grid assets, such as on-load tap-changing distribution transformers or serial low voltage regulators, are promising solutions. However, the energy transition cannot be handled with the network expansive on the distribution level. Control centers are predicted to expand to this voltage level in the near future, and distribution system state estimation could be an enabler of all functionalities. On the low voltage level, data scarcity is a great challenge in observability; therefore, research must focus on the creation of pseudomeasurements and integration of available data sources. This paper examines the inclusion of smart assets from the conceptual point to the application on two sites, based on data from operational environments, both with a pseudomeasurement and an integrated metering point approach. The results showed that integrating smart assets could considerably mitigate voltage fluctuations, and reduce estimation errors by two magnitudes on the low voltage network.

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Section: Smart Assets In the Dssementioning

confidence: 99%

“…Figure 10 shows the voltage at the two sides of the SVRuncontrolled point (Figure 10(a)) and SVR controlled point (Figure 10(b)) [29].…”

Section: Smart Assets In the Dssementioning

confidence: 99%