Distributed Energy Resource Benchmark Models for Distribution Impact Assessment - Update of Activities by CIGRE Working Group C6.36

Peppanen, Jouni; Taylor, Jason; Fonseca, Daniel Szente; Snodgrass, Jonathan; Chen, S.; Strasser, Thomas

doi:10.1049/icp.2021.1481

Cited by 5 publications

(2 citation statements)

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“…A large portion of DERs is represented by 1 kW-5 MW rooftop PV installations, wind turbines, and battery storage systems. Due to the increasingly lower prices of these devices, they are often located on the side of consumers [12][13][14]. According to the IEA, another element contributing to the list of storage/consumption devices is EVs, especially in China, Europe, and the United States [6,11].…”

Section: Current State Of Pv Systemsmentioning

confidence: 99%

“…• high penetration of PV, which can cause overloading of the transformers or overvoltages [13,22]; • asymmetry in the voltage and current flow of neutral conductors in low-voltage distribution systems, which is caused by single-phase production/consumption devices; • improper integration of EVs into distribution systems, which can result in the technology not being reliable [15,23]; • thermal effects caused by the high current in phase or neutral conductors, which increase losses.…”

Section: Current State Of Pv Systemsmentioning

confidence: 99%

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Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network

et al. 2022

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In recent years, the emerging fear of an energy crisis in central Europe has caused an increased demand for distributed energy resources (DER), especially small photovoltaic rooftop installations up to 10 kWp. From a technical point of view, distributed PV in low-voltage networks is associated with the risk of power quality violation, overvoltage, voltage unbalance, harmonics, and violation of the thermal limit of phase conductors, neutral conductors, and transformers. Distribution system operators (DSO) are currently in a position to determine the amount of installed PV power for which reliable and safe network operation is ensured, also known as the photovoltaic hosting capacity (PVHC). The presented study describes a stochastic methodology for PVHC estimation and uses it to analyze a typical LV rural network in the Slovak Republic. Detailed and precise calculations are performed on the 4-wire LV model with accurate results. In this study, we, thus, profoundly analyze the problems with voltage violation, unbalanced voltage energy losses, and the thermal loading effect of increasing PV penetration. The results show that overvoltage events are the main factor limiting the PVHC in LV systems. This conclusion is in accordance with the experience of the DSO in the Slovak and Czech Republic. Subsequently, the study focuses on the possibilities of increasing PVHC using those tools typically available for DSO, such as changes in PV inverter power factors and no-load tap changer transformers. The results are compared with those derived from similar analyses, but we ultimately find that the proposed solution is problematic due to the high variability of approaches and boundary conditions. In conclusion, the paper discusses the issue of the acceptable risk of overvoltage violation in the context of PVHC and lowering losses in LV networks.

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Section: Current State Of Pv Systemsmentioning

confidence: 99%