A smart MV/LV-station that improves power quality, reliability and substation load profile

Kester, J.C.P.

doi:10.1049/cp.2009.0977

Cited by 20 publications

(8 citation statements)

References 9 publications

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“…Related work on smart transformers mainly focuses on frequency control [30], voltage stability [31], [32], [33], [34], demand-response in distribution networks with multiple feeders [35] or integration on medium and low voltage microgrids [36], [37], [38]. In most of this work, a single onload tap-changer transformer [39] is considered.…”

Section: Comparison With Related Workmentioning

confidence: 99%

Self-Repairable Smart Grids Via Online Coordination of Smart Transformers

Pournaras

Espejo-Uribe

2017

IEEE Trans. Ind. Inf.

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The introduction of active devices in Smart Grids, such as smart transformers, powered by intelligent software and networking capabilities, brings paramount opportunities for online automated control and regulation. However, online mitigation of disruptive events such as cascading failures, is challenging. Local intelligence by itself cannot tackle such complex collective phenomena with domino effects. Collective intelligence coordinating rapid mitigation actions is required. This paper introduces analytical results from which two optimization strategies for self-repairable Smart Grids are derived. These strategies build a coordination mechanism for smart transformers that runs in three healing modes and performs collective decisionmaking of the phase angles in the lines of a transmission system to improve reliability under disruptive events, i.e. line failures causing cascading failures. Experimental evaluation using selfrepairability envelopes in different case networks, AC power flows and varying number of smart transformers confirms that the higher the number of smart transformers participating in the coordination, the higher the reliability and the capability of a network to self-repair.

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Section: Comparison With Related Workmentioning

confidence: 99%

Self-Repairable Smart Grids Via Online Coordination of Smart Transformers

Pournaras

Espejo-Uribe

2017

IEEE Trans. Ind. Inf.

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“…Simultaneously, the capability to increase network capacity to accommodate more distributed generation have been investigated [10]. The IDS is equipped with advanced monitoring system, battery storage system and with smart transformer [11].…”

Section: Intelligent Mv/lv Substation and Possible Demand Responsmentioning

confidence: 99%

Assessment of demand response possibilities by means of voltage control with intelligent MV/LV distribution substation

Kadurek

Sarab

Cobben

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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Demand response is considered as one of the possibilities, which should help to keep our power systems in balance of generation and production. To keep the system balanced will become more difficult, when large shares of electricity are generated from intermitted renewable resources. The availability and response speed of demand response are going to be the crucial factors enabling the integration into the future power system as a reliable option. Therefore, taking into account those factors, the possible demand response by the means of local voltage control is proposed in this paper. The constraints and the availability of the proposed new demand response tool are addressed in this paper and are underpinned with results from a field test experiment with experimental MV/LV substation allowing local implementation of voltage control.

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“…Extensions of transport capacity of existing networks in especially cities are very expensive and labor intensive operations with a high impact on the built environment. Therefore the development of advanced distribution automation, as in [8], is highly relevant to manage future load profiles and manage congestion and peak loads in local grids and on distribution stations. Within PowerMatching City the DSO can influence the load profile on the transformer by locally transforming the price in real-time.…”

Section: I B Technical Coordinationmentioning

confidence: 99%