Pseudo-Measurements Generation Using Energy Values from Smart Metering Devices

Alves, Joel; Pereira, Jorge

doi:10.1049/cp.2016.0740

Cited by 3 publications

(1 citation statement)

References 6 publications

(6 reference statements)

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“…The addressed problem results in various approaches to reduce pseudo data generation error to the scale of metering unit offset. The majority of the papers use historical load profiles and probability distributions for modeling the temporal change of node parameters [48,49]. Alternative predictor models use additional attributes (e.g., current state of the grid) or extract new features for better accuracy [50,51]…”

Section: Pseudo Data Generation Techniquesmentioning

confidence: 99%

The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

et al. 2021

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Global trends such as the growing share of renewable energy sources in the generation mix, electrification, e-mobility, and the increasing number of prosumers reshape the electricity value chain, and distribution systems are necessarily affected. These systems were planned, developed, and operated as a passive structure for decades with low level of observability. Due to the increasing number of system states, real time operation planning and flexibility services are the key in transition to an active grid management. In this pathway, distribution system state estimation (DSSE) has a great potential, but the real demonstration of this technique is in an early stage, especially on low-voltage level. This paper focuses on the gap between theory and practice and summarizes the limits of low-voltage DSSE implementation. The literature and the main findings follow the general structure of a state estimation process (meter placement, bad data detection, observability, etc.) giving a more essential and traceable overview structure. Moreover, the paper provides a comprehensive mapping of the possible use-cases state estimation and evaluates 27 different experimental sites to conclude on the practical applicability aspects.

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Section: Pseudo Data Generation Techniquesmentioning

confidence: 99%

The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

et al. 2021

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Low voltage state estimation based operation analysis of smart distribution assets

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Vokony

Hartmann

et al. 2022

2022 8th International Youth Conference on Energy (IYCE)

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Benchmarking Various Pseudo-Measurement Data Generation Techniques in a Low-Voltage State Estimation Pilot Environment

et al. 2022

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Distribution system state estimation (DSSE) is a valuable step for DSOs toward tackling the challenges of transitioning to a more sustainable energy system and the evolution and proliferation of electric cars and power electronic devices. However, on the LV level, implementation has only taken place in a few pilot projects. In this paper, an LV DSSE method is presented and implemented in four real Hungarian LV supply areas, according to well-defined scenarios. Pseudo-measurement datasets are generated from AACs and SLPs, which have been used in different combinations on networks built with different accuracies in terms of load placement. The paper focuses on the critical aspects of finding accurate and coherent information on network topology with automated management of information systems, real LV network implementation for power flow calculation and managing portions of the network characterized by uncertain or inconsistent line lengths. A refining algorithm is implemented for the integrated network information system (INIS) models. The published method estimates node voltages with a relative error of less than 1% when using AACs, and a meter-placement method to reduce the maximum value of relative errors in future scenarios is also presented. It is shown that the observation of node voltages can be improved with the usage of AACs and SLPs, and with optimal meter placement.

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Pseudo-Measurements Generation Using Energy Values from Smart Metering Devices

Cited by 3 publications

References 6 publications

The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

Low voltage state estimation based operation analysis of smart distribution assets

Benchmarking Various Pseudo-Measurement Data Generation Techniques in a Low-Voltage State Estimation Pilot Environment

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