Presentation title

Parallel Statistical Model Checking for Safety Verification in Smart Grids

Authors

Toni Mancini, Federico Mari, Igor Melatti, Ivano Salvo, Enrico Tronci, Jorn Klaas Gruber, Barry Hayes, Milan Prodanovic, Lars Elmegaard

Institution(s)

Model Checking Lab, Sapienza University of Rome

Presentation type

Technical presentation

Abstract

By using small computing devices deployed at user premises, Autonomous Demand Response (ADR) adapts users electricity consumption to given time-dependent electricity tariffs. This allows end-users to save on their electricity bill and Distribution System Operators to optimise (through suitable time-dependent tariffs) management of the electric grid by avoiding demand peaks.

Unfortunately, even with ADR, users power consumption may deviate from the expected (minimum cost) one, e.g., because ADR devices fail to correctly forecast energy needs at user premises. As a result, the aggregated power demand may present undesirable peaks.

In this talk we address such a problem by presenting that enable Distribution System Operators to effectively verify that a given time-dependent electricity tariff achieves the desired goals even when end-users deviate from their expected behaviour.

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Additional material

• Presentation slides: [pdf]

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