The Autonomic Power System - Network operation and control beyond smart grids

McArthur, S.D.J.; Taylor, Philip; Ault, Graham; King, James E.; Athanasiadis, Dimitrios I.; Alimisis, Varvara; Czaplewski, M.

doi:10.1109/isgteurope.2012.6465807

Cited by 25 publications

(17 citation statements)

References 31 publications

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“…This implies that the load can be reduced by DR (r d,i t ) to a certain limit, which is referred to as the customer flexibility (f d,i t ) in this paper. As seen in (3), the customer flexibility f d,i t is defined as a proportion (%) of the original load (O t ). In practice, the customer flexibility f d,i t will increase when more customers are contracted for DR.…”

Section: Model Of Demand Responsementioning

confidence: 99%

“…The deployment of demand response (DR) and electrical energy storage (EES) is a key attribute that characterizes the smart grid paradigm, which has emerged to address the electricity supply and environmental challenges [1][2][3][4]. While DR and EES are appreciated for providing different services to power systems, they may also be alternative supply resources, which are qualitatively different from traditional power plants.…”

Section: Introductionmentioning

confidence: 99%

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Modelling and assessment of the contribution of demand response and electrical energy storage to adequacy of supply

Zhou

Mancarella

Mutale

2015

Sustainable Energy, Grids and Networks

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Section: Model Of Demand Responsementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling and assessment of the contribution of demand response and electrical energy storage to adequacy of supply

Zhou

Mancarella

Mutale

2015

Sustainable Energy, Grids and Networks

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“…Consequently, this paper introduces a preliminary autonomic control [1] scheme, with the aim of moving beyond current smart grids scenarios. It draws on "The Autonomic Power System" (APS) [2] the move towards as fully a decentralised real-time network operation as is practicable, achievable and beneficial. A soft-computing approach, defined by Zadeh in [3], appears to be well suited to this decentralised power system control problem.…”

Section: Introductionmentioning

confidence: 99%

Towards autonomic control in decentralised power systems via distributed type-2 fuzzy systems

León

Taylor

2013

IEEE PES ISGT Europe 2013

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Real-time control and operation of future power systems demands substantially different approaches from the conventional. Inherent short-term uncertainty and complexity in power systems will be notably increased. In order to deal with these two challenging attributes, this paper introduces a preliminary autonomic control scheme formed through the conjunction of type-2 fuzzy systems and a multi-agent architecture. Results are also presented addressing voltage control on an 11 kV UK distribution network.

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“…One very interesting vision of how the electricity network might look like in 2050 is the Autonomic Power System (APS), a concept coined by the British scientists in the course of 3-year project led by the University of Strathclyde and involving research groups from prominent UK universities including Cambridge and Imperial College London (see McArthur et al, 2012;Pitt et al, 2012;Milanovic and Xu, 2015;Piacentini et al, 2015;King et al, 2015;Xu and Milanovic, 2015). In their view, APS is envisaged to be "self*" (self-configuring, self-healing, selfoptimizing and self-protecting).…”

Section: Autonomic Power Systemsmentioning

confidence: 99%

Social and Economic Implications for the Smart Grids of the Future

Strielkowski

2017

Economics &Amp; Sociology

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ABSTRACT. This paper discusses the implications of autonomous self* (self-configuring, self-healing, selfoptimizing and self-protecting) systems for the development of the electrical smart grids of the future. It assesses several scenarios of the future development without prioritizing any of them. The paper employs the data from the Smart Metering Electricity Customer Behaviour Trials conducted by the Commission for Energy Regulation and kindly provided by the Irish Social Science Data Archive (ISSDA) to test the consumers' attitude toward smart meters and adaptive energy tariffs. The findings suggest that when it comes to the implementation of the new approaches to generating, supplying, and monitoring of electrical energy, most of the consumers retain the old-fashioned approach and are driven by the economic incentives. Thence, the developments of the smart grids of the future (or the system will exist beyond these smart grids) is very likely to be shaped by the economic behaviour of the optimizing rational agents on the market.

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The Autonomic Power System - Network operation and control beyond smart grids

Cited by 25 publications

References 31 publications

Modelling and assessment of the contribution of demand response and electrical energy storage to adequacy of supply

Modelling and assessment of the contribution of demand response and electrical energy storage to adequacy of supply

Towards autonomic control in decentralised power systems via distributed type-2 fuzzy systems

Social and Economic Implications for the Smart Grids of the Future

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