Simulation platform for energy demand in smart grids

The emergence of Smart Grids is posing a wide range of challenges for electric utility companies and network operators: Integration of non-dispatchable power from renewable energy sources (e.g., photovoltaics, hydro and wind), fundamental changes in the way energy is consumed (e.g., due to dynamic pricing, demand response and novel electric appliances), and more active operations of the networks to increase efficiency and reliability.

A key to managing these challenges is the ability to forecast network loads at low levels of locality, e.g., counties, cities, or neighbourhoods. Accurate load forecasts improve the efficiency of supply as they help utilities to reduce operating reserves, act more efficiently in the electricity markets, and provide more effective demand-response measures.

In order to prepare for the Smart Grid era, there is a need for a scalable simulation environment which allows utilities to develop and validate their forecasting methodology under various what-if-scenarios.

We are developing a massive-scale simulation platform that emulates the electrical load in an entire electrical network, from Smart Meters at individual households, over low- to medium-voltage network assets, up to the national level. The platform supports the simulation of changes in the customer portfolio and the consumers’ behavior, installment of new distributed generation capacity at any network level, and dynamic reconfigurations of the network.


Pascal Pompey
Mathieu Sinn

Related publication

P. Pompey, A. Bondu, Y. Goude, M. Sinn
"Massive-Scale Simulation of Electrical Load in Smart Grids using Generalized Additive Models"
Lecture Notes in Statistics: Modeling and Stochastic Learning for Forecasting in High Dimensions. To appear, 2015.


Utilities need to prepare for the era of smart grids:

Simulation platform