Impact Analysis of Future Electric Vehicles Using Model of Real Distribution Feeders

Xie, Jun; Kintner-Meyer, Michael Cw; Sridhar, Siddharth; Chen, Xinyi; McDermott, Thomas E.; Du, Wei; Schneider, Kevin P.; Wang, Heng; Bedoya, Juan Carlos; Mo, Kefei; Ramesh, Meghana

doi:10.1109/isgt51731.2023.10066428

Cited by 2 publications

(1 citation statement)

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“…It provides the ability to treat a huge dataset of power systems measurements from SCADA systems to reach the past 10-year period on looped, radial and ring network systems with different voltage levels and configurations. In addition to integrating to estimate the PV HC during stochastic behaviour of EV charging systems and ESSs under various PIs [271]- [273].…”

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confidence: 99%

A Comprehensive Review on Recent Developments of Hosting Capacity Estimation and Optimization for Active Distribution Networks

Mousa,

Mahmoud,

Lehtonen

2024

IEEE Access

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Recently, several types of distributed energy resources (DERs) have been developed to reduce the environmental impact and support the global demand for electrical energy. However, the continuous penetration of the DERs into modern power systems (MPSs) may cause several adverse impacts in terms of operation performance indices (PIs) and power quality issues, especially in low-voltage distribution systems (LVDSs). To cope with these serious impacts and achieve optimal control, the hosting capacity (HC) of DERs must be accurately estimated and optimally optimized. However, it requires an extensive communication infrastructure, which is hardly offered without clear financial benefits. In this regard, this article investigates the historical developments of HC definitions as well as the recent developments in terms of operational performance indices, and estimation methods for active distribution networks (ADNs) with the highpenetration level existence of the DERs, energy storage systems (ESSs), electric vehicle (EV) charging systems, sector coupling, hydrogen technologies, and multi-carrier energy systems (MESs) to deal with electrical, thermal, and cooling demands. In this regard, this review article is intended to exhibit an appropriate reference for comprehensive research trends in HC estimation and optimization based on ADNs. Additionally, it involves and covers most current research HC topics in detail compared to other published review articles. Moreover, the authors deliberate the recent approaches for evaluating and improving the HC, especially concerning data-driven methods, with the aid of various software for simulating real systems. Moreover, modern research trends and main factors of MPS operations are deliberated with current energy market developments. Also, prominent challenges, current status, and future aspects are discussed.

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confidence: 99%