Simulation-based approach for investigating the impact of electric vehicles on power grids

Ciechanowicz, David; Pelzer, Dominik; Knoll, Alois

doi:10.1109/appeec.2015.7381046

Cited by 10 publications

(10 citation statements)

References 24 publications

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“…The conductor failure due to vibration fatigue can be obtained using the CIGRE criterion introduced in [26], which considers the failure occurring when experimentally three or 10% of the total aluminum wires break, whichever proportion is greater. This experimental approach is expressed by (6) and is often referred to as CIGRE Safe Border Line (CSBL) to determine the conductor's lifetime cycles. Due to the complexity and high cost of conducting such experimentations, the CSBL has been established -so far-for conventional aluminum and aluminum alloys [39].…”

Section: Modelling Methods For Estimation Of Conductor Lifetimementioning

confidence: 99%

“…The endured stresses (σa) by the conductor are determined when the conductor undergoes a bending motion for a number of cycles (Ni). The A and B coefficients in (6) are determined based on the conductor material properties which are recommended by CIGRE as tabulated in Table I. The two coefficients (A and B) in (6) are found by fitting the mean of the experimental fatigue test data, as described in [40].…”

Section: Modelling Methods For Estimation Of Conductor Lifetimementioning

confidence: 99%

“…Such transformation entails connecting high-shares of clean energy sources into the bulk electrical network causing a swift increase in the power transferred within OHL corridors [1,2]. This is an inevitable result of the continuous growth of connected renewables into the power networks and renewable energy strategies targeting the electrification of heat and transport to comply with low carbon emission policies [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Modeling Multi-Layer OHL Conductors Undergoing Wind-Induced Motion

AlAqil

Kopsidas

2020

IEEE Access

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Utilities aim to improve asset management strategies and enhance the utilization of their assets through low-risk reliable practices. Overhead lines and conductor designs have been evolving to increase systems' power capacity and mechanical integrity, which have also extended asset lifetimes. Nevertheless, it is still challenging to predict a conductor's fatigue stresses due to wind-induced vibrations that can help to estimate its useful life. A finite element model (FEM) has been established in COMSOL to study the free and forced wind-induced vibrations and the resultant fatigue on single multi-layer conductors considering their complex round and trapezoidal stranding patterns. The FEM analysis is based on multi-physics accounting for the conductor's thermal and mechanical aspects as well as material and geometry properties. Consequently, the fatigue is quantified for both inter-layer and inter-wire interactions. The simulations show that free conductor vibrations are dictated by the conductor materials and tension distribution between the core and aluminum strands. The bigger the difference between the material properties of the core and aluminum, the lesser the conductor vibrations, especially when the aluminum becomes slack. In fact, a conductor equipped with carbon core (ACCC), has the best vibration resistance among other conductors with steel core (ACSR) and homogeneous (AAACs). Forced vibration simulations identified non-linear fatigue stresses for round and trapezoidal designs, which is more pronounced in larger conductor sizes. Larger trapezoidal ACSRs exhibit better fatigue resistance compared to smaller and round stranded AAACs.

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Section: Modelling Methods For Estimation Of Conductor Lifetimementioning

confidence: 99%

Section: Modelling Methods For Estimation Of Conductor Lifetimementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling Multi-Layer OHL Conductors Undergoing Wind-Induced Motion

AlAqil

Kopsidas

2020

IEEE Access

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“…The computational resources required for modern urban system simulations [18,4] are increasing; this has also resulted in more high resolution output data being generated. Moreover, availability of much cheaper storage options 1 has resulted in data being generated at unprecedented velocities, volumes and varieties [19,8].…”

Section: Introductionmentioning

confidence: 99%

Online Data Extraction for Large-Scale Agent-Based Simulations

Zehe¹,

Viswanathan²,

Cai

et al. 2016

Proceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

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Cloud-based simulation systems reduce the upfront hardware costs of running high-performance experiments and increases the ease with which simulation experiments can be repeated. The data being generated by simulations can be large. Commonly used data storage systems such as relational databases can handle large amounts of data, but the analysis is a challenging problem. Moreover, handling this amount of data in cloud services can be both expensive (bandwidth and storage costs) and time-consuming. However, a lot of the data that is generated by agent-based simulations does not contribute directly to the purpose of the experiment being conducted. We propose an extension to cloud-based simulation systems that rather than storing raw simulation output data, uses stream data processing to generate the result dataset while the simulation is running. This can then be used to store only the data required for later use, this saving both time and money.

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“…The CS placement problem can also be addressed from the power grid perspective. A simulationbased approach for investigating the impact of transport electrification on power grids is presented in [31]. A case study of Singapore shows that grid 160 congestion and voltage drops are observed on the low voltage level while the high and medium voltage grid remain unaffected.…”

mentioning

confidence: 99%