Versorgungsqualität

Crastan, Valentin; Westermann, Dirk

doi:10.1007/978-3-642-20100-4_5

Cited by 1 publication

(2 citation statements)

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“…In [84], Duarte et al present their self-healing system for power systems. Their modelled scheme includes state estimation and prognosis of the power grid based on SCADA [85] data, a self-healing optimisation and a sequence of manoeuvres to change switching states according to the optimisation result. In simulations, they show that the scheme can reduce the SAIDI [85] of different feeders, sometimes by 20% or more.…”

Section: Self-healingmentioning

confidence: 99%

“…Their modelled scheme includes state estimation and prognosis of the power grid based on SCADA [85] data, a self-healing optimisation and a sequence of manoeuvres to change switching states according to the optimisation result. In simulations, they show that the scheme can reduce the SAIDI [85] of different feeders, sometimes by 20% or more. Similar fault detection, isolation, and restoration (FDIR) schemes are presented in [86][87][88].…”

Section: Self-healingmentioning

confidence: 99%

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The Vision of Self-Management in Cognitive Organic Power Distribution Systems

et al. 2022

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Due to the ongoing trend towards a decarbonisation of energy use, the power system is expected to become the backbone of all energy sectors and thus the fundamental critical infrastructure. High penetration with distributed energy resources demands the coordination of a large number of prosumers, partly controlled by home energy management systems (HEMS), to be designed in such a way that the power system’s operational limits are not violated. On the grid level, distribution management systems (DMS) seek to keep the power system in the normal operational state. On the prosumer level, distributed HEMS optimise the internal power flows by setpoint specification of batteries, photovoltaic generators, or flexible loads. The vision of the ODiS (Organic Distribution System) initiative is to develop an architecture to operate a distribution grid reliably, with high resiliency, and fully autonomously by developing “organic” HEMS and DMS which possess multiple self-x capabilities, collectively referred to as self-management. Thus, ODiS seeks answers to the following question: How can we create the most appropriate models, techniques, and algorithms to develop novel kinds of self-configuring, self-organising, self-healing, and self-optimising DMS that are integrally coupled with the distributed HEMS? In this concept paper, the vision of ODiS is presented in detail based on a thorough review of the state of the art.

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Section: Self-healingmentioning

confidence: 99%