“20th PSCC 2018 papers submission and review platform

Full Program »

Optimal Management of Storage for Offsetting Solar Power Uncertainty using Multistage Stochastic Programming

Africa has recently engaged in implementing an aggressive renewable energy integration plan. A major challenge in the deployment of renewable power is the management of excess energy, and the use of battery storage has been considered as a technically attractive solution. This paper tackles this operational problem using stochastic dual dynamical programming. We present an open-source MATLAB toolbox for multistage stochastic programming which employs stochastic dual dynamic programming. We use the toolbox in order to compare the stochastic solution to a greedy policy which operates batteries without future foresight as a benchmark. We consider a case study of storage management in Burkina Faso. We quantify the benefits of the stochastic solution and test the sensitivity of our results to the optimization horizon of the stochastic program.

Author(s):

Taku Kaneda    
Université catholique de Louvain
Belgium

Bruno Losseau    
Université catholique de Louvain
Belgium

Anthony Papavasiliou    
Université catholique de Louvain
Belgium

Damien Scieur    
École normale supérieure, Paris
France

Léopold Cambier    
Stanford University
United States

Pierre Henneaux    
Tractebel Engineering
Belgium

Niels Leemput    
Tractebel Engineering
Belgium

 

Powered by OpenConf®
Copyright ©2002-2014 Zakon Group LLC