Impact of meshed grid topologies on distribution grid planning and operation

Wolter, Daniel; Zdrallek, Markus; Stötzel, Marcus; Schacherer, Christian; Mladenović, Ivana; Biller, Martin

doi:10.1049/oap-cired.2017.0708

Cited by 16 publications

(9 citation statements)

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“…Suppose y is a solution with cost zero. Using (12), there exists c such that , y T = c T H U β . As nodes in U are non-adjacent, y j = c j H β (j, j) for j ∈ U.…”

Section: Constrained Nodal Regressionmentioning

confidence: 99%

“…Note that Assumption 3 holds trivially for radial grids, that include a majority of distribution grids. The minimum loop size of 4 is non-restrictive in real grids with large girth [11], [12]. In fact it is necessary for consistent estimation even in the fully-excited setting [19] (see Lemma 1).…”

Section: A Structural Assumptionsmentioning

confidence: 99%

“…Among algorithms with theoretical guarantees, passive greedy schemes [1], [7], [8] and active probing methods [9], [10] that employ voltage measurements are proposed for learning radial grids. However, they do not generalize to meshed/loopy networks in transmission grids and urban distribution grids [11], [12]. Similarly, algorithms for joint estimation of topology and line parameters using both voltage and injection measurements have been designed using least-squared fitting [13] and lowranked decomposition [14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tractable learning in under-excited power grids

Deka¹,

Doddi²,

Misra³

et al. 2020

Preprint

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Estimating the structure of physical flow networks such as power grids is critical to secure delivery of energy. This paper discusses statistical structure estimation in power grids in the 'under-excited' regime, where a subset of internal nodes do not have external injection. Prior estimation algorithms based on nodal potentials/voltages fail in the under-excited regime. We propose a novel topology learning algorithm for learning underexcited general (non-radial) networks based on physics-informed conservation laws. We prove the asymptotic correctness of our algorithm for grids with non-adjacent under-excited internal nodes. More importantly, we theoretically analyze our algorithm's efficacy under noisy measurements, and determine bounds on maximum noise under which asymptotically correct recovery is guaranteed. Our approach is validated through simulations with non-linear voltage samples generated on test grids with real injection data.

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“…Suppose y is a solution with cost zero. Using (12), there exists c such that , y T = c T H U β . As nodes in U are non-adjacent, y j = c j H β (j, j) for j ∈ U.…”

Section: Constrained Nodal Regressionmentioning

confidence: 99%

Section: A Structural Assumptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tractable learning in under-excited power grids

Deka¹,

Doddi²,

Misra³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…With smart distribution networks, radial operation of the network could be abandoned with significant benefits. Indeed, with a closed-loop or weakly meshed network, reduction of power losses, improvement of voltage profile, and a greater flexibility with reconfiguration, as well as superior ability to cope with load/generation growth with less need of network upgrades [32][33][34]. SDN allows changing between radial and meshed operation enabling exploitation of the advantages of both schemes.…”

Section: Smart Distribution Network Structurementioning

confidence: 99%

“…Distribution system operators (DSO) are already developing a significant refurbishment activity of secondary substations with new solutions for technological improvement of MV and low voltage (LV) equipment, MV/LV transformers, protection system, remote control devices and auxiliary components [30,31] With smart distribution networks, radial operation of the network could be abandoned with significant benefits. Indeed, with a closed-loop or weakly meshed network, reduction of power losses, improvement of voltage profile, and a greater flexibility with reconfiguration, as well as superior ability to cope with load/generation growth with less need of network upgrades [32][33][34]. SDN allows changing between radial and meshed operation enabling exploitation of the advantages of both schemes.…”

Section: Fault Detection and Reconfiguration Scheme For Smart Distribmentioning

confidence: 99%

Co-Simulation of Smart Distribution Network Fault Management and Reconfiguration with LTE Communication

et al. 2018

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Transition towards a smart grid requires network modernization based on the deployment of information and communication technologies for managing network operation and coordinating distributed energy resources in distribution systems. The success of the most advanced smart grid functionalities depends on the availability and quality of communication systems. Amongst the most demanding functionalities, those related to fault isolation, location and system restoration (FLISR) to obtain a self-healing smart grid are critical and require low latency communication systems, particularly in case of application to weakly-meshed operated networks. Simulation tools capable of capturing the interaction between communication and electrical systems are of outmost utility to check proper functioning of FLISR under different utilization conditions, to assess the expected improvements of Quality of Service, and to define minimum requirements of the communication system. In this context, this paper investigates the use of public mobile telecommunication system 4G Long Term Evolution (LTE) for FLISR applications in both radially and weakly-meshed medium voltage (MV) distribution networks. This study makes use of a co-simulation software platform capable to consider power system dynamics. The results demonstrate that LTE can be used as communication medium for advanced fault location, extinction, and network reconfiguration in distribution networks. Furthermore, this paper shows that the reduction of performances with mobile background usage does not affect the system and does not cause delays higher than 100 ms, which is the maximum allowable for power system protections.

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Impact of Renewable Energy Sources and Energy Storage Technologies on the Operation and Planning of Smart Distribution Networks

Ghiani

Pisano

2018

Operation of Distributed Energy Resources in Smart Distribution Networks

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Impact of meshed grid topologies on distribution grid planning and operation

Cited by 16 publications

References 0 publications

Tractable learning in under-excited power grids

Tractable learning in under-excited power grids

Co-Simulation of Smart Distribution Network Fault Management and Reconfiguration with LTE Communication

Impact of Renewable Energy Sources and Energy Storage Technologies on the Operation and Planning of Smart Distribution Networks

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