An adaptive service for grid applications

Othman, Abdulla; Gourlay, Iain; Djemame, Karim

doi:10.1080/17445761003603242

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…Su and Chow propose the use of an intelligent energy management system to control the interactions of EVs with the grid given the main technical issues. Othman et al . addressed the grid as a dynamic system, where resources change because of different critical factors, such as system performance degradation or system failure, where adaptive services are provided to cope with these constraints.…”

Section: Introductionmentioning

confidence: 99%

“…Su and Chow [13] propose the use of an intelligent energy management system to control the interactions of EVs with the grid given the main technical issues. Othman et al [14] addressed the grid as a dynamic system, where resources change because of different critical factors, such as system performance degradation or system failure, where adaptive services are provided to cope with these constraints. Dong and Lin [15] assess the energy impact of public charging infrastructure due to the increasing load the share of driving on electricity that plug-in hybrid EVs might exhibit, with several simulation scenarios being presented.…”

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confidence: 99%

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Multi-agent management system for electric vehicle charging

Miranda

Borges

Valério

et al. 2014

Int. Trans. Electr. Energ. Syst.

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Summary This paper proposes an implementation, based on a multi‐agent system, of a management system for automated negotiation of electricity allocation for charging electric vehicles (EVs) and simulates its performance. The widespread existence of charging infrastructures capable of autonomous operation is recognised as a major driver towards the mass adoption of EVs by mobility consumers. Eventually, conflicting requirements from both power grid and EV owners require automated middleman aggregator agents to intermediate all operations, for example, bidding and negotiation, between these parts. Multi‐agent systems are designed to provide distributed, modular, coordinated and collaborative management systems; therefore, they seem suitable to address the management of such complex charging infrastructures. Our solution consists in the implementation of virtual agents to be integrated into the management software of a charging infrastructure. We start by modelling the multi‐agent architecture using a federated, hierarchical layers setup and as well as the agents' behaviours and interactions. Each of these layers comprises several components, for example, data bases, decision‐making and auction mechanisms. The implementation of multi‐agent platform and auctions rules, and of models for battery dynamics, is also addressed. Four scenarios were predefined to assess the management system performance under real usage conditions, considering different types of profiles for EVs owners', different infrastructure configurations and usage and different loads on the utility grid (where real data from the concession holder of the Portuguese electricity transmission grid is used). Simulations carried with the four scenarios validate the performance of the modelled system while complying with all the requirements. Although all of these have been performed for one charging station alone, a multi‐agent design may in the future be used for the higher level problem of distributing energy among charging stations. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Multi-agent management system for electric vehicle charging

Miranda

Borges

Valério

et al. 2014

Int. Trans. Electr. Energ. Syst.

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“…The second order group iterative schemes have been extensively investigated over the last few decades in solving several types of elliptic partial differential equations (PDEs) [1][2][3][4][5][6][7][8][9][10][11][12][13]. The Explicit Group (EG) method was proposed in 1985 by Evans [1].…”

Section: Introductionmentioning

confidence: 99%

Fourth order modified explicit decoupled group scheme in the solution of Poisson equation

Ling¹,

Ali²

2016

AIP Conference Proceedings

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Abstract. The formulation and implementation of a new explicit group method in solving the two dimensional (2D) elliptic partial differential equation (PDE) is presented. The fourth order group scheme is derived from the rotated ninepoint finite difference discretization formula applied to the Poisson equation. Numerical solutions are obtained for different mesh sizes. The iterative procedure of the Fourth Order Modified Explicit Decoupled Group (FOMEDG) method is found to require lesser execution timings and iteration numbers compared to the existing Fourth Order Modified Explicit Group (FOMEG) method resulting in faster convergence rate.

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An adaptive service for grid applications

Cited by 2 publications

References 17 publications

Multi-agent management system for electric vehicle charging

Multi-agent management system for electric vehicle charging

Fourth order modified explicit decoupled group scheme in the solution of Poisson equation

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