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Mobility-Aware Load Management Algorithms for Electric Vehicles

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In this talk, we will discuss pricing mechanisms and/or routing algorithms that can be used to manage the charging demand of a population of electric vehicles. After presenting an overview of some recent results, two main papers will be discussed. In the first part of the talk, I will present on the design of optimal pricing and routing policies to provide differentiated services in a network of fast charging stations, where customers have different values of time and energy demands. The second part of the talk is focused on residential EV demand management under real-time pricing programs. We will discuss the application of multi-armed bandit based algorithms for price design, where customers' price response is modeled as a stochastic system with unknown parameters. Given the presence of reliability constraints in power systems, we will discuss the application of well-known bandit heuristics in constrained environments and discuss the effects of reliability constraints on the regret guarantees of the algorithms.

This talk is part of the Isaac Newton Institute Seminar Series series.

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