European power grid reliability indicators, what do they really tell?

Martínez-Anido, Carlo Brancucci; Bolado, Ricardo; Vries, L.J. De; Fulli, Gianluca; Vandenbergh, Michel; Masera, Marcelo

doi:10.1016/j.epsr.2012.04.007

Cited by 22 publications

(10 citation statements)

References 4 publications

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“…Comparing French and worldwide databases (Graph 2, p. 7, with Graph 4, p. 10) shows that some worldwide central actors sim- 6 Austrian Climate & Energy Fund: Hit with 6 partners, Smart Web Grid with 6 partners, V2G Strategies with 6 partners, V2G Interfaces with 6 partners, Consumer to Grid (C2G) with 5 partners, DG Demonet Smart Low Voltage Grid with 6 partners, DG Demonet Validierung with 6 partners, Smart Synergy with 6 partners and B2G with 4 partners. 7 European Union: Grid4EU with 25 partners, Twenties with 26 partners, SmartLife with 8 partners and Safewind with 21 partners; ADEME: Smart Electric Lyon with 18 partners, Venteea with 10 partners, Nice Grid with 13 partners, Postes Intelligents with 3 partners, Smart Grid Vendée with 8 partners, and Premio with 15 partners; MSP-UfM: MedGrid with 21 partners and TransGreen with 13 partners.…”

Section: Smart Grid Development In Francementioning

confidence: 98%

“…It is thus difficult to know precisely what one means when talking about smart grid. The roots of the heterogeneity of smart grid definitions have to be grounded in the geographical, economic and historical specificities of national electrical grids [4,6]. Indeed, national specificities (such as national energy mix, industrial policies, polity and corporate governance structure) have long favored the scattering of technological expertise into separate locations.…”

Section: Literature Reviewmentioning

confidence: 99%

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Uncertainty, vision, and the vitality of the emerging smart grid

Tricoire

2015

Energy Research & Social Science

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a b s t r a c tThis paper answers an important question consensually identified as crucial for smart grid roll-out. Our objective is to highlight the reasons for economic, technological and regulatory uncertainty continuing in the smart grid sector. The argument of this paper is that to face uncertainty, actors adopted strategic positioning but not systematically favoring the emergence of a structuring and shared vision of smart grid. However, converging visions are necessary to limit uncertainty and thus secure the sector's development and durability in the coming years.The results presented here are based on two methodological approaches. First, a social network analysis of worldwide relationships between smart grid actors has been performed to characterize the actors' positioning strategies. The paper identifies four categories of actors: local observers, global observers, experimenters, and central actors. Second, a qualitative analysis of semi-structured interviews with approximately 30 French smart grid stakeholders gave us information on discourses and perceptions of the sector's reality and constraints. It appeared that smart grid merges both long-established actors in the smart grid focal sector, i.e., energy, promoting a highly accurate but strictly energy-oriented perception, and new entrants coming from related sectors such as ICT, offering an open but indistinct perspective. Therefore, stakeholders diverge on the definition and potential source of added value.These results help to elucidate the transition of socio-technical systems. Indeed, at this very moment when contextual uncertainty remains high, it appears that actors from the focal sector play a crucial part in driving the current sector development, whereas new entrants remain unable to modify the sector's regime decisively. One can interpret this situation as a sign of the failure of the smart grid sector to emerge as such. Conversely, one can see here an evolution of focal actors' strategies regarding uncertainty in an innovative socio-technical system in transition. To solve this issue, further studies should be conducted both on the smart grid sector to see how it will evolve and on other sectors to search for similar trends.

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Section: Smart Grid Development In Francementioning

confidence: 98%

Section: Literature Reviewmentioning

confidence: 99%

Uncertainty, vision, and the vitality of the emerging smart grid

Tricoire

2015

Energy Research & Social Science

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“…Several studies [2] [3] [4] analyse the impact of topology on network reliability in terms of network interconnectivity, defined as how interconnected grid nodes are to other nodes of the same grid [4]. In other words, network topology does not take into account the interconnections with bordering networks.…”

Section: Introductionmentioning

confidence: 99%

Cross-border electricity transmission capacity for network reliability

Martínez-Anido

Vries

Lavin

et al. 2013

4th International Conference on Power Engineering, Energy and Electrical Drives

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“…Flexibility requirements are bringing energy/electricity system planning and operation decision-making much closer than in the past. Linking energy system/power market models with one or more of the other three model clusters is a recurring way of addressing flexibility issues [37][38][39][40][41][42].…”

mentioning

confidence: 99%

“…Reliability targets-typically based on historical patterns and common practices-are generally fixed ex ante. Since reliability analyses focus on the likely system behaviour, events assessed to have low probability/frequency of incidence do not grandly-or at all-impact the results (rare events can cover a large fraction of the consequences on the system) [38,39].…”

mentioning

confidence: 99%

The EU Electricity Security Decision-Analytic Framework: Status and Perspective Developments

et al. 2017

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Electricity security, generally referring to a system's capability to provide electricity to its users, is a multi-faceted problem attracting mounting attention from policy makers and scientists around the world. Electricity security encompasses largely different properties based upon the time/geographical scales of the factors affecting electricity delivery; it is challenged by threats surfacing in spheres far beyond the physical one; it involves a myriad of stakeholders spanning manifold disciplines and with considerably different expectations from the electricity commodity or services; it can be studied as a complicated techno-economic problem or as a complex socio-economic problem. All the above reasons, in a framework of changing European Union (EU) and global energy scenarios, render electricity security ever more challenging to assess and critical to safeguard. Against this background, this work presents recommendations to bring science and policy making closer towards evaluating and handling EU electricity security. More in detail, this is done by:• Characterising electricity security via features at the cross-roads of policy and science.• Reviewing the electricity security modelling and assessment approaches across sectors.• Proposing elements for a novel electricity security decision-analytic framework for the EU.• Contextualising the proposed framework in EU's Energy Union grid design initiatives.

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European power grid reliability indicators, what do they really tell?

Cited by 22 publications

References 4 publications

Uncertainty, vision, and the vitality of the emerging smart grid

Uncertainty, vision, and the vitality of the emerging smart grid

Cross-border electricity transmission capacity for network reliability

The EU Electricity Security Decision-Analytic Framework: Status and Perspective Developments

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