Non-synthetic European low voltage test system

Koirala, Arpan; Suárez-Ramón, Lucía; Belaid, Mohamed; Arboleya, Pablo

doi:10.1016/j.ijepes.2019.105712

Cited by 52 publications

(39 citation statements)

References 18 publications

(17 reference statements)

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“…Although the considered networks are not directly connected to each other in reality, the developed integrated model can serve as a highly realistic model for researchers. In a similar manner, direct modeling of large scale real MV-LV networks is a recent approach that gains particular interest [21]. There are efforts to automate the determination and exploration of the desired planning and operational scenarios.…”

Section: State Of the Artmentioning

confidence: 99%

The Benefits and Challenges of Large Scale MV/LV Distribution Network Modelling: A Case Study

Mehigan¹,

Zehir²,

Cuenca³

et al. 2022

Preprint

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<p>Power distribution networks are experiencing large deployment of behind-the-meter distributed generation and storage along with electrified transport and heat, requiring fundamental changes in planning and operation. Synthetic representative networks may not be sufficient to fully address the needs of researchers, operators and decision-makers. There are increasing efforts to directly model large-scale real networks and conduct detailed analysis beyond conventional practices. This paper presents a large-scale medium voltage (MV)-low voltage (LV) integrated network model building, scenario determination and analysis approach for distribution networks. Data with different formats from several databases were used in model building. The model is validated using benchmark scenarios based on historical network measurements from the field. In collaboration with the national distribution system operator in Ireland (ESB Networks), a pilot study was conducted for a rural network in the Southwest of Ireland, highlighting possible challenges and offering suitable solutions for country-scale implementation.<br></p><p></p><div><br></div><div><br></div>

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Section: State Of the Artmentioning

confidence: 99%

The Benefits and Challenges of Large Scale MV/LV Distribution Network Modelling: A Case Study

Mehigan¹,

Zehir²,

Cuenca³

et al. 2022

Preprint

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“…In total, 112 of the 128 feeders are available for allocation to the MV circuit. 1) Transformer Sizing: All transformers in the LVNS set are modelled as 800 kVA transformers, which in many cases represents an inefficient allocation of resource (the apparent overrating of these transformers has been noted in previous works such as [7]). Whilst there are reasons why they may be the true sizes in reality [14], following [7] it is assumed that these transformers are unlikely to be broadly representative of secondary substation ratings across European LV networks.…”

Section: A LV Network Preprocessingmentioning

confidence: 99%

“…One approach that has been proposed to overcome the DSO data sensitivity issue is to build synthetic European test cases based on geographical data [4], with a similar approach taken in a US-based context in [5] and a Central American case study in [6]. A set of non-synthetic, unbalanced LV circuits fed from a common MV primary substation are given in [7]. Other works use a 'network allocation' approach, whereby LV networks are allocated to selected loads in an MV network [3], [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Hybrid European MV–LV Network Models for Smart Distribution Network Modelling

Deakin

Greenwood

Walker

et al. 2021

2021 IEEE Madrid PowerTech

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A pair of European-style, integrated MV-LV circuits are presented, created by combining generic MV and real LV networks. The two models have 86,000 and 113,000 nodes, and are made readily available for download in the OpenDSS file format. Primary substation tap change controls and MV-LV feeders are represented as three-phase unbalanced distribution network models, capturing the coupling of voltages at the MV level. The assumptions made in constructing the models are outlined, including a preconditioning step that reduces the number of nodes by more than five times without affecting the solution. Two flexibility-based case studies are presented, with TSO-DSO and peer-peer-based smart controls considered. The demonstration of the heterogeneous nature of these systems is corroborated by the analysis of measured LV voltage data. The models are intended to aid the development of algorithms for maximising the benefits of smart devices within the context of whole energy systems.

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“…The share of LV networks in those data sources is limited, therefore we call out some of the key data sets: IEEE European Low Voltage Test Feeder (one of IEEE PES test feeders) LV network solutions test feeders (128 residential networks; Low Carbon Networks Fund, 2014) CIGRE “Benchmark systems for network integration of renewable and distributed energy resources” (Strunz et al, 2014) “Non‐synthetic European low voltage test system” (Koirala et al, 2020) …”

Section: Modeling Distribution Networkmentioning

confidence: 99%

Applications of optimization models for electricity distribution networks

Claeys

Vanin

Geth

2021

WIREs Energy & Environment

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Increased penetration of low‐carbon technologies, such as residential photovoltaic systems, electric vehicles, and batteries, can potentially cause voltage quality issues in distribution networks. Active distribution networks adopt control schemes where these assets are actively managed to prevent potential issues, increasing the network utilization. Mathematical optimization is a key technology in enabling such applications, either directly as the underlying solution, or for benchmarking effectiveness. As networks are operated closer to their engineering limits, models representing distribution network physics become increasingly important. This article reviews how distribution networks are modeled with varying degrees of detail in the context of optimization problems. It goes on to catalog the applications that use such models, and ends with an overview of toolchains to implement them, to enable the transition from the passive to active management of the distribution system. This article is categorized under: Energy Systems Analysis > Systems and Infrastructure

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Non-synthetic European low voltage test system

Cited by 52 publications

References 18 publications

The Benefits and Challenges of Large Scale MV/LV Distribution Network Modelling: A Case Study

The Benefits and Challenges of Large Scale MV/LV Distribution Network Modelling: A Case Study

Hybrid European MV–LV Network Models for Smart Distribution Network Modelling

Applications of optimization models for electricity distribution networks

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