Stochastic dynamic programming applied to microgrid management

Abstract:

 
Energy Management Systems (EMS) are usually based on the integer programming
framework. A novel method based on stochastic control and dynamic programming is
proposed. It allows for a precise modeling of complex constraints such as the minimal
working power of a diesel motor. The EMS proposed here is based on a rolling horizon
strategy. It takes into account historical data and randomness as well as the aging
of the battery and the motor working constraints. A semi-lagrangian scheme was
implemented within BOCOP – a software developed at INRIA – for the numerical
simulations. We will compare such method with the one that is currently implemented
in a real microgrid in northern Chile. We will also analyse the performance of the
software implementation. A practical implementation of the EMS is envisioned. This
project is the product of a collaboration between the COMMADS (INRIA, France)
and Centro de Energia teams (Universidad de Chile, Chile).

Posted on Dec 1, 2014 in Optimization and Equilibrium, Seminars