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

Abstract

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.

Bibliometric study of distribution system state estimation: advances and challenges

“…As well as load forecasting proposals with methods of load estimation [10] and allocating profiles [11], Markov model [9]. Finally, it must be mentioned criteria based on learning such as Artificial Neural Networks [12][13][14], Relevance Vector Machine (RVM) [15], and clustering techniques [16].…”

Harnessing AutoDesign and Open-Source Digital Twin Simulations for EV Charging Station Location Selection

“…Level 3 DCFCs could be set up in the third location due to high demand for access by locals, small businesses, and passing EV owners such as cars, buses, bicycles etc. The second case study considers the EVCS to be set up in the city center of Newcastle upon Tyne, which is a commercial area [23]. The first charging point could be located in a small car park.…”

“…Descriptions of Autodesign and Pandapowerare discussed in detail under section 2. The charging stations should be established in multiple different locations to ensure availability to the users as well [23 The project was aimed to in principle design/simulate an EVCS system using Northern Powergrid's AutoDesign tool [24][25][26][27][28][29][30] and simulate the impact of the system on the grid under different loads and the hourly EV demand. Furthermore, the resulting model is analyzed and the results are simulated using Pandapower.…”

Role of Voltage Control Devices in Low Voltage State Estimation Process

“…Terefore, the engineering practice uses the so-called W measurement weight matrix. Békési et al [25] improved a state estimation process in which W is used.…”