Interval estimation of voltage magnitude in radial distribution feeder with minimal data acquisition requirements
| Autor: | Theis Bo Rasmussen, Arne Hejde Nielsen, Guangya Yang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Cyber-physical power system
Information privacy Smart meters Computer science 020209 energy Node (networking) 020208 electrical & electronic engineering Interval estimation Energy Engineering and Power Technology 02 engineering and technology Interval (mathematics) Reliability engineering Electric power system Data acquisition 0202 electrical engineering electronic engineering information engineering SDG 7 - Affordable and Clean Energy Electrical and Electronic Engineering SDG 12 - Responsible Consumption and Production Data privacy Low voltage Voltage monitoring Voltage |
| Zdroj: | Rasmussen, T B, Yang, G & Nielsen, A H 2019, ' Interval estimation of voltage magnitude in radial distribution feeder with minimal data acquisition requirements ', International Journal of Electrical Power & Energy Systems, vol. 113, pp. 281-287 . https://doi.org/10.1016/j.ijepes.2019.05.041 |
| ISSN: | 0142-0615 |
| Popis: | The increased complexity of electric distribution networks, entails higher requirements on the interoperability between the information and communication technology (ICT) infrastructure and the power system. In current literature, distribution network monitoring methods require reliable operation of the ICT infrastructure, and depend on load estimation accuracy in cases of unavailable measurements. In the low voltage (LV) distribution network, ICT infrastructure is sensible to noise and congestion, and load estimation is challenged by irrational consumer behaviour. Such limitation impede the implementation of currently proposed methods. The conditions are complicated further when considering the impact of emerging data privacy concerns that can prevent utilization of household consumption data. Therefore, this work proposes a novel method for voltage magnitude interval estimation by utilizing the information from existing data acquisition systems in LV distribution networks. The proposed method is based on knowledge of load connection, and estimates the entire radial feeder voltage magnitude conditions from measurements of voltage magnitudes from minimum one node. The proposed method can therefore be implemented on existing ICT infrastructure and effectively keeps the privacy of consumers consumption profiles. The ability of the proposed method to estimate the feeder voltage interval is illustrated by an example and evaluated using Monte Carlo simulations for different meter distribution and accuracy scenarios. |
| Databáze: | OpenAIRE |
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