Incorporating reliability calculations in routine network planning: theory and practice

Slootweg, J.G.; Oirsouw, P.M. van

doi:10.1049/cp:20051334

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…It should therefore be investigated how reliability aspects can be incorporated in a network planning tool. However, this is not at all straightforward, as the reliability observed in reality is influenced by many different factors which are often difficult to model in an absolute sense [9]. Furthermore, probabilistic forecasting methodologies, combined with advanced risk management tools, might be required for risk reduction, better estimation of risks, and eventually more founded decisions [2].…”

Section: Other Requirementsmentioning

confidence: 99%

Requirements for advanced decision support tools in future distribution network planning

Grond¹,

Morren²,

Slootweg³

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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This paper describes the need and requirements for advanced decision support tools in future network planning from a distribution network operator perspective. The existing tools will no longer be satisfactory for future application due to present developments in the electricity sector that increase uncertainty. Advanced decision support tools can help network planners to select among the numerous alternatives for the optimal future distribution network layout and expansion schedule. This in contrast to the existing method, whereas the generation of planning alternatives is carried out heuristically by network planners based on design directives and experience. Advanced decision support tools require the most efficient optimization techniques, must be able to find the optimal investment path considering multiple scenarios, and should not only consider classic expansion strategies but also intelligent ones (e.g. energy storage and controlling active demand). Advanced decision support tools would greatly help network operators to make better decisions under uncertainty, which contributes to an affordable, sustainable, and reliable electric energy supply.

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Section: Other Requirementsmentioning

confidence: 99%

Requirements for advanced decision support tools in future distribution network planning

Grond¹,

Morren²,

Slootweg³

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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“…In the case of forced outage, the restoration action steps are commonly organized as follows [9]. 1.…”

Section: Interruption Duration Descriptionmentioning

confidence: 99%

Interruption modelling in electrical power distribution systems using the Weibull—Markov model

Medjoudj

Aı̈ssani

Boubakeur

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part O:

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This paper develops an application of the Markov and Weibull-Markov methods to evaluate the effects of maintenance actions on the availability and reliability of electrical distribution systems. It unifies existing models and critically reviews them on their applicability to electrical components. Both methods are applied to investigate the expected performances of underground and overhead circuits. It compares expected performance in terms of failure rates, outage times, and availability. Based an a threshold reliability value and maximum benefit, specific preventive maintenance actions are defined for reliability improvement for each component and therefore for the system. The results obtained by the Weibull-Markov method would seem to be more realistic. A range of recommendations is formulated for practical considerations which may be of interest to operators, as well as to managers of these systems.

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“…Many investigative studies concentrate on optimizing the performance of feeders operating at medium voltages such as 11 kV [1][2][3]. This may be because most of the consumer unavailability occurs at these voltage levels, and because such feeders tend to be similar to one another and can therefore be represented generically.…”

Section: Research Backgroundmentioning

confidence: 99%

Methodologies for the analysis of both short-term and long-term network risk

Blake¹,

Taylor²,

Creighton³

2009

IET Conference Publications

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The level of electricity distribution network risk in the UK is perceived to be increasing in the short term, and an asset management approach seeks to optimise the balance between capital expenditure and the risk to customer supplies. Further drivers that could lead to increased network risk can be anticipated in the longer term. Against this background, the paper seeks to model, analyse and quantify both short-term and long-term network risk, and has developed methodologies for doing so. These methodologies are illustrated by a case study based on the anticipated rebuilding of a key 132 kV switching station on part of the UK network.

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Incorporating reliability calculations in routine network planning: theory and practice

Cited by 6 publications

References 3 publications

Requirements for advanced decision support tools in future distribution network planning

Requirements for advanced decision support tools in future distribution network planning

Interruption modelling in electrical power distribution systems using the Weibull—Markov model

Methodologies for the analysis of both short-term and long-term network risk

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