Assessment of the Suitability of NB-IoT Technology for ORM in Smart Grids

In this paper, we assess the suitability of NB-IoT (Narrowband Internet of Things) cellular technology for smart grid applications, concentrating on the reliable and timely delivery of Outage Restoration Management (ORM) messages at the event of a local or regional power outage. Using system-level simulations modelling of both the cellular NB...

Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply

Renewable energy sources introduce uncertainty regarding generated power in smart grids. For instance, power that is generated by wind turbines is time-varying and dependent on the weather. Electric vehicles will become increasingly important in the development of smart grids with a high penetration of renewables, because their flexibility makes...

Goodbye Passive House, Hello Energy Flexible Building?

The volume uptake of highly energy-efficient buildings is challenged by transformations in the energy system and the introduction of demand response strategies. In the near future buildings will be able to manage their demand and generation according to local climate conditions, user needs and variable energy prices. As buildings become...

Planning under Uncertainty for Aggregated Electric Vehicle Charging using Markov Decision Processes

The increasing penetration of renewable energy sources and electric vehicles raises important challenges related to the operation of electricity grids. For instance, the amount of power generated by wind turbines is time-varying and dependent on the weather, which makes it hard to match flexible electric vehicle demand and uncertain wind power...

Planning under Uncertainty with Weighted State Scenarios

In many planning domains external factors are hard to model using a compact Markovian state. However, long-term dependencies between consecutive states of an environment might exist, which can be exploited during planning. In this paper we propose a scenario representation which enables agents to reason about sequences of future states. We show...

A Scenario State Representation for Scheduling Deferrable Loads under Wind Uncertainty

Integration of renewable energy in power systems is a potential source of uncertainty, because renewable generation is variable and may depend on changing and highly uncertain weather conditions. In this paper we present and evaluate a new method to schedule power-demanding tasks with release times and deadlines under uncertainty, in order to...