An approach to Smart Grid metrics

Arnold, Mark; Huang, Rui; Wellßow, Wolfram H.

doi:10.1109/isgteurope.2011.6162662

Cited by 9 publications

(2 citation statements)

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“…Constraints can even be caused by regulation. A list of possible objectives of power system operation methods can be found in Arnold et al (2011). An objective can originate in all zones, domains and layers of the SGAM (CEN-CENELEC-ETSI 2012).…”

Section: Objective(s)mentioning

confidence: 99%

Architectural and functional classification of smart grid solutions

et al. 2019

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Historically, the power distribution grid was a passive system with limited control capabilities. Due to its increasing digitalization, this paradigm has shifted: the passive architecture of the power system itself, which includes cables, lines, and transformers, is extended by a communication infrastructure to become an active distribution grid. This transformation to an active system results from control capabilities that combine the communication and the physical components of the grid. It aims at optimizing, securing, enhancing, or facilitating the power system operation. The combination of power system, communication, and control capabilities is also referred to as a “smart grid”. A multitude of different architectures exist to realize such integrated systems. They are often labeled with descriptive terms such as “distributed,” “decentralized,” “local,” or “central." However, the actual meaning of these terms varies considerably within the research community.This paper illustrates the conflicting uses of prominent classification terms for the description of smart grid architectures. One source of this inconsistency is that the development of such interconnected systems is not only in the hands of classic power engineering but requires input from neighboring research disciplines such as control theory and automation, information and telecommunication technology, and electronics. This impedes a clear classification of smart grid solutions. Furthermore, this paper proposes a set of well-defined operation architectures specialized for use in power systems. Based on these architectures, this paper defines clear classifiers for the assessment of smart grid solutions. This allows the structural classification and comparison between different smart grid solutions and promotes a mutual understanding between the research disciplines. This paper presents revised parts of Chapters 4.2 and 5.2 of the dissertation of Drayer (Resilient Operation of Distribution Grids with Distributed-Hierarchical Architecture. Energy Management and Power System Operation, vol. 6, 2018).

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Section: Objective(s)mentioning

confidence: 99%

Architectural and functional classification of smart grid solutions

et al. 2019

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“…Different combinations of VC applications are investigated with and without control coordination for different network situations. All costs of the investigated options are estimated and summarized and the results are assessed by the SGM [5] for a quantitative cost-benefit analysis.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Combination and Coordination of Voltage Control Applications in LV Networks with Smart Grid Metrics

Huang¹,

Wolfram²,

Peter³

et al. 2016

CIRED Workshop 2016

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In Germany, the enormous growth of distributed generation (DG), in particular from photovoltaic (PV) panels, pushes the low voltage (LV) networks to their limits. Over-voltages in LV networks limit the further absorption of DG, especially in rural and suburban areas. Several voltage control (VC) applications can be implemented to solve these issues. These VC applications can be further combined or even coordinated with the help of information and communication technology (ICT) to improve the control effect. This paper focusses on the combination and coordination of these VC applications. The control effects are evaluated are evaluated for a wide range of artificial synthetic LV networks. The assessment is made with the help of the Smart Grid Metrics framework (SGM).

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Distributed Framework for Cognitive Radio Based Smart Grid and According Communication/Power Management Strategies

Jiang

2017

Communications and Networking

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An approach to Smart Grid metrics

Cited by 9 publications

References 1 publication

Architectural and functional classification of smart grid solutions

Architectural and functional classification of smart grid solutions

Assessing the Combination and Coordination of Voltage Control Applications in LV Networks with Smart Grid Metrics

Distributed Framework for Cognitive Radio Based Smart Grid and According Communication/Power Management Strategies

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