Benchmark low voltage distribution networks based on cluster analysis of actual grid properties

Dickert, Jörg; Domagk, Max; Schegner, Peter

doi:10.1109/ptc.2013.6652250

Cited by 38 publications

(23 citation statements)

References 6 publications

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“…The first, and most common, is a radial grid structure which is basically a tree or acyclic, and often planar, graph. Dickert et al [33] describe different structures of radial networks that are commonly found in Western Europe. Another structure is the weakly meshed or ring structure, which is similar to the radial network, but then some of the branches are connected together at the end, forming rings.…”

Section: Topologymentioning

confidence: 99%

A cyber-physical systems perspective on decentralized energy management

Hoogsteen¹

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Section: Topologymentioning

confidence: 99%

A cyber-physical systems perspective on decentralized energy management

Hoogsteen¹

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“…The initial set of more than 80 parameters has been reduced to a subset of 12 parameters, which are considered to be relevant to characterize feeders in terms of hosting capacity, and in particular in terms of being prone to voltage or current constraints. This parameter set has been selected by reviewing the relevant literature (Table 1, [9][10][11][12][13][14][15][16][17][18][19][20][21]). These parameters are given in Table 2 and in the explanatory text below (Equations (1) to (3)).…”

Section: Available Data Setmentioning

confidence: 99%

“…Having recognised this problem, connection standards or guidelines have been published in most European countries (e.g., [3][4][5] in Germany and Austria). Besides specifying clear and transparent rules to assess the connection of generation to the distribution network, these guidelines have introduced new possibilities Dickert et al, 2013 [16] (DE) LV feeders "benchmark feeders" n/a k-means 6 18 Broderick und Williams, 2013 [17] (US) MV feeders "representative feeders 3 000 k-means 12 5 22…”

Section: Introductionmentioning

confidence: 99%

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On the Classification of Low Voltage Feeders for Network Planning and Hosting Capacity Studies

2018

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The integration of large amounts of generation into distribution networks faces some limitations. By deploying reactive power-based voltage control concepts (e.g., volt/var control with distributed generators), the voltage rise caused by generators can be partly mitigated. As a result, the network hosting capacity can be accordingly increased, and costly network reinforcement might be avoided or postponed. This works however only for voltage-constrained feeders (opposed to current-constrained feeders). Due to the low level of monitoring in low voltage networks, it is important to be able to classify feeders according to the expected constraint in order to avoid the overloading risk. The main purpose of this paper is to investigate to which extent it is possible to predict the hosting capacity constraint (voltage or current) of low voltage feeders on the basis of a large network data set. Two machine-learning techniques have been implemented and compared: clustering (unsupervised) and classification (supervised). The results show that the general performance of the classification or clustering algorithms might be considered as rather poor at a first glance, reflecting the diversity of real low voltage feeders. However, a detailed analysis shows that the benefit of the classification is significant.

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“…Reference [16] proposed a combination of centralized-remote control and local-decentralized control to ensure that the nodal voltages remain within regulatory limits. Although these studies have fully demonstrated that distributed PVs have the ability to enhance power quality as well as reliability of the system [17], their reactive outputs are limited by capacity and power factor. Moreover, the line equivalent impedance directly affects the voltage regulation.…”

Section: Introductionmentioning

confidence: 99%

A Decoupling Rolling Multi-Period Power and Voltage Optimization Strategy in Active Distribution Networks

Shen

Zheng

et al. 2020

Energies

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With the increasing penetration of distributed photovoltaics (PVs) in active distribution networks (ADNs), the risk of voltage violations caused by PV uncertainties is significantly exacerbated. Since the conventional voltage regulation strategy is limited by its discrete devices and delay, ADN operators allow PVs to participate in voltage optimization by controlling their power outputs and cooperating with traditional regulation devices. This paper proposes a decoupling rolling multi-period reactive power and voltage optimization strategy considering the strong time coupling between different devices. The mixed-integer voltage optimization model is first decomposed into a long-period master problem for on-load tap changer (OLTC) and multiple short-period subproblems for PV power by Benders decomposition algorithm. Then, based on the high-precision PV and load forecasts, the model predictive control (MPC) method is utilized to modify the independent subproblems into a series of subproblems that roll with the time window, achieving a smooth transition from the current state to the ideal state. The estimated voltage variation in the prediction horizon of MPC is calculated by a simplified discrete equation for OLTC tap and a linearized sensitivity matrix between power and voltage for fast computation. The feasibility of the proposed optimization strategy is demonstrated by performing simulations on a distribution test system.

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Benchmark low voltage distribution networks based on cluster analysis of actual grid properties

Cited by 38 publications

References 6 publications

A cyber-physical systems perspective on decentralized energy management

A cyber-physical systems perspective on decentralized energy management

On the Classification of Low Voltage Feeders for Network Planning and Hosting Capacity Studies

A Decoupling Rolling Multi-Period Power and Voltage Optimization Strategy in Active Distribution Networks

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