An Agent-Based Approach for the Planning of Distribution Grids as a Socio-Technical System

Siebert, Luciano Cavalcante; Aoki, Alexandre Rasi; Lambert‐Torres, Germano; Lambert-de-Andrade, Nelson; Paterakis, Nikolaos G.

doi:10.3390/en13184837

Cited by 11 publications

(8 citation statements)

References 25 publications

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“…The known values for calculation are as follows: u 𝛼 eq = 12.8 kV, i 𝛼 max = 30.5A, r m = 20.0 Ω. It is calculated that R 𝛼 eq is 399.7 Ω, which is lower than the equivalent resistance of C phase faulty cable joint, as shown in formula (3). Even though the applied voltages are different, it is confirmed that there has been certain carbonation damage in the faulty cable joint at the latency stage.…”

Section: Experimental Results Of Sample αmentioning

confidence: 99%

“…The power distribution system is increasingly important due to the increasing number of branches and growing complexity [1][2][3]. As the ultimate power supply link to the user, the relay protection has played a significant role in preventing problems at one point in the network from spreading and causing disturbances in other parts of the circuit [4].…”

Section: Introductionmentioning

confidence: 99%

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Evolution of grounding failure‐insulation failure of 10 kV cable joints: Prerequisites of an explosion in enclosed cable trench

Zhao

Liu

Guo

et al. 2023

IET Generation Trans & Dist

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An explosion accident in an enclosed cable trench caused by the discharge of 10 kV three‐phase cable joints is discussed. Combined with the disassembly analysis, the fault recording data analysis, and the validation of experiment, the evolution of the cable joint fault is deduced and discussed. The results show that the trigger of the cable joint fault is the creepage discharge at the cross‐linked polyethylene–silicon rubber insulation interface. This results in the partial breakdown and the grounding failure of three‐phase cable joints. Under the long‐term floating potential and current thermal effect, the insulations are gradually ablated and decomposed into a large amount of combustible gas. Finally, the accumulated combustible gas is ignited by the arc caused by a three‐phase short circuit at the moment of the reclosing operation. The analytical method and conclusions proposed in this paper can provide suggestions and guidance to prevent analogous distribution network cable joint fault accidents.

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Section: Experimental Results Of Sample αmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evolution of grounding failure‐insulation failure of 10 kV cable joints: Prerequisites of an explosion in enclosed cable trench

Zhao

Liu

Guo

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…. ] driven not only by financial incentives but also driven by concepts such as values, beliefs, and social norms" [41] (p. 12). In their agent-based model, they implemented various consumer types (based on factors like interest in new technologies and openness to social influences); simulation experiments with different scenarios showed that even small changes in agents' behavior (respectively the share of consumer types) may lead to "considerable differences and non-linearity in the grid power flow and voltage levels" [41] (p. 11).…”

Section: Agent-based Modelling and Simulation Of Future Energy Systemsmentioning

confidence: 99%

Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection

2020

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This paper presents an agent-based model (ABM) for residential end-users, which is part of a larger, interdisciplinary co-simulation framework that helps to investigate the performance of future power distribution grids (i.e., smart grid scenarios). Different modes of governance (strong, soft and self-organization) as well as end-users’ heterogeneous behavior represent key influential factors. Feedback was implemented as a measure to foster grid-beneficial behavior, which encompasses a range of monetary and non-monetary incentives (e.g., via social comparison). The model of frame selection (MFS) serves as theoretical background for modelling end-users’ decision-making. Additionally, we conducted an online survey to ground the end-user sub-model on empirical data. Despite these empirical and theoretical foundations, the model presented should be viewed as a conceptual framework, which requires further data collection. Using an example scenario, representing a lowly populated residential area (167 households) with a high share of photovoltaic systems (30%), different modes of governance were compared with regard to their suitability for improving system stability (measured in cumulated load). Both soft and strong control were able to decrease overall fluctuations as well as the mean cumulated load (by approx. 10%, based on weekly observation). However, we argue that soft control could be sufficient and more societally desirable.

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“…Large integration of renewable energy resources, electric vehicles, demand-side management techniques, and dynamic electricity tariffs have dramatically increased power system complexity [1]. Moreover, the proliferation of advanced metering infrastructure (AMI) and digital assets has led to significant amounts of data production in power systems [2].…”

Section: Introductionmentioning

confidence: 99%

Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges

Gholizadeh

Musilek

2021

Energies

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In recent years, machine learning methods have found numerous applications in power systems for load forecasting, voltage control, power quality monitoring, anomaly detection, etc. Distributed learning is a subfield of machine learning and a descendant of the multi-agent systems field. Distributed learning is a collaboratively decentralized machine learning algorithm designed to handle large data sizes, solve complex learning problems, and increase privacy. Moreover, it can reduce the risk of a single point of failure compared to fully centralized approaches and lower the bandwidth and central storage requirements. This paper introduces three existing distributed learning frameworks and reviews the applications that have been proposed for them in power systems so far. It summarizes the methods, benefits, and challenges of distributed learning frameworks in power systems and identifies the gaps in the literature for future studies.

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An Agent-Based Approach for the Planning of Distribution Grids as a Socio-Technical System

Cited by 11 publications

References 25 publications

Evolution of grounding failure‐insulation failure of 10 kV cable joints: Prerequisites of an explosion in enclosed cable trench

Evolution of grounding failure‐insulation failure of 10 kV cable joints: Prerequisites of an explosion in enclosed cable trench

Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection

Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges

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