Risk-aware service level agreement modeling in smart grid
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Risk-aware service level agreement modeling in smart grid Aminollah Mahabadi1,2,3 · Mohammad Reza Besmi4 Received: 9 March 2020 / Revised: 11 August 2020 / Accepted: 28 August 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract As advanced Smart Grid environments grow from a simple grid towards a complex provider ecosystem, there is an uncertain challenge on those grid environments that need to manage a risk paradigm. We present an automated risk-aware service level agreements modeling to the grid provider for speed automated pricing and getting better performance to program as an agent-oriented platform. The key idea of our novel approach is proposing a risk level agreements contract and a pricing model to decrease the complexity of previous methods from an off-line service level agreement to an on-line risk level agreement for managing the risk lifecycle of contracts used to record the rights and obligations of the services and their consumers. Based on a risk level agreements contract the model optimizes resource management according to the business objective level of the provider with an online riskaware rendezvous to define the penalty level of the cost model. The corresponding quality of service criteria is defined based on multi-class risk-aware service level agreements between Smart Grid providers and their power consumers which include the tail distributions of the per-class costs in addition to the more standard quality of service metrics such as throughput and mean delays. Our empirical experiments show the benefits of the proposed approach. Keywords Smart grid · Service level agreements · Risk-aware service level agreements · Risk level agreements · Quality of service · Petri net model
1 Introduction One way for companies to distinguish themselves from other companies is through innovation such as technological development. Developments in the environment of companies come at a rapid pace [7]. The amount of decision-making information increases, as a consequence the time to make a decision increases as well. But for companies, this is business Aminollah Mahabadi
[email protected]; [email protected] 1
Computer Engineering Department, Shahed University, Tehran, Iran
2
Acoustic Research Center, Shahed University, Tehran, Iran
3
School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
4
Electrical Engineering Department, Shahed University, Tehran, Iran
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as usual. All expert companies found that it is hard to make the right decision concerning the matter of implementing a new technology or not. Smart Grid, being rapidly introduced to the power industry is a new way of delivering power resources for many companies that had emerged [3]. The basic idea is employing networked components within the traditional power grid to attain better control and greater reliability for managing the energy resources of the Internet of Things in Smart Grid [28]. This technology refers to the different services that
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