LV-grid automation system &amp;#x2014; A technology review

Oerter, Christian; Neusel-Lange, Nils

doi:10.1109/pesgm.2014.6939827

Cited by 9 publications

(9 citation statements)

References 12 publications

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“…1) Three different methods to detect new or unknown PV power plants will be introduced in the next section: ─ The "Cloud Passage Method", ─ The "Power Deviation Method" ─ The "Low Mark Method". 1 Project sponsored by the German Federal Ministry for Economic Affairs and Energy (BMWI)…”

Section: Methodsmentioning

confidence: 99%

“…By using these systems, it is possible to monitor (grid state identification) and to control (intelligent grid control) the power supply in the distribution grids. In cooperation with industrial partners, the University of Wuppertal developed the smart grid solution "iNESsmart distribution grid management" [1]. The improvement of the system and the integration in a combined system for medium and low voltage grids are the key assignments in the project 1 "Green Access".…”

Section: Overviewmentioning

confidence: 99%

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Self-detection of New Photovoltaic Power Plants Using a Low Voltage Smart Grid System

Steinbusch

Fischer

Stötzel

et al. 2017

IFIP Advances in Information and Communication Technology

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Section: Methodsmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Self-detection of New Photovoltaic Power Plants Using a Low Voltage Smart Grid System

Steinbusch

Fischer

Stötzel

et al. 2017

IFIP Advances in Information and Communication Technology

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“…In this section we present an application example for the classifiers. Four different smart grid solutions are analyzed according to the classifiers introduced in "Assessment clas- Table 2 Analysis of smart grid solutions according to the Assessment Classifiers "Distributed multiple agent system" (Zhang et al 2014) "Central Q-Management" (Wang et al 2015) "LV-Grid automation system" (Oerter and Neusel-Lange 2014;SAG GmbH 2013) "Local Q(V) droop control" (Stetz 2014;Stetz et al 2014) T R L 3 4 9 9…”

Section: Applicationmentioning

confidence: 99%

“…According to the classification in "Assessment classifier" section this solution has a hierarchical operation architecture. The third solution has been commercialized and describes a LV grid automation system (Oerter and Neusel-Lange 2014;SAG GmbH 2013). The fourth solution is the Q(V) droop control, which is deployed in state-of-the-art PVinverters and windparks.…”

Section: Applicationmentioning

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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“…eflecting the tendencies for more decentralized controlled energy conversion systems and the further increasing number of IT-enriched smart systems in general, a picture can be drawn, that describes the future energy landscape as a complex, globally connected and mainly software driven system. Smart Markets need to build on top of an underlying technical systems with inherent flexibility that guarantees a stable volatile energy production [1], in order to reach climate targets [2] or just to maximize organizational profit [3]. However, global goals, such as the stabilization of a distribution networks, require a minimum of adaptive interoperability that has to be expressed in one standard.…”

Section: Introductionmentioning

confidence: 99%

Energy Agents - Foundation for Open Future Energy Grids

Derksen

Unland

2015

Annals of Computer Science and Information Systems

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Redefining our energy landscape by means of regenerative, volatile and decentralized organized systems represents a major challenge for the creation of distributed control solutions. Standards are required that permit describing the variety of energy conversion systems and that enable an interoperable exchange of energy amounts in an open, flexible manner by concurrently taking into account technical and market requirements. This paper introduces the concept of unifying Energy Agents. They have the potential to reduce the ever growing complexity that comes along with the various solutions presented or that are already available at the market. In contrast to that, the notion of Energy Agents stands in our view as a representative for a required methodology that enables a consistent development of decentralized control solutions. In order to demonstrate this approach, the application of Energy Agents in a smart house scenario is discussed. It is shown how arbitrary agents with different levels of sophistication and abilities can cooperate with each other in a smooth way. It is our strong believe that a stepwise and standardized development of Energy Agents representing the needed decentralized control solutions is needed for a sustainable design of an open Future Energy Grid.

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LV-grid automation system — A technology review

Cited by 9 publications

References 12 publications

Self-detection of New Photovoltaic Power Plants Using a Low Voltage Smart Grid System

Self-detection of New Photovoltaic Power Plants Using a Low Voltage Smart Grid System

Architectural and functional classification of smart grid solutions

Energy Agents - Foundation for Open Future Energy Grids

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