Wicak was born in Denpasar, Indonesia, in 1990. He received his bachelor degree in electrical engineering from University of Indonesia in 2011. After working in a natural gas distribution company for almost 3 years, he continued his studies at Delft University of Technology, the Netherlands. There, he obtained a Master’s degree in Systems and Control in 2016 by defending his thesis entitled “Distributed Energy Management in Smart Thermal Grids with Uncertain Demands”, in which he extended a randomization-based MPC method into a distributed scheme which was based on the Lagrange dual theory in order to deal with uncertainty appeared in the system as well as large-scale issue. In December 2016, Wicak started his PhD project within the INCITE framework at IRI in collaboration with UPC in Barcelona. His research is focused on developing partitioning techniques and distributed optimization-based control methods for large-scale grids with distributed generators.
Advisor: Carlos Ocampo-Martínez
Resilient Information-Exchange Protocol for Distributed Model Predictive Control Schemes, W. Ananduta, J. Barreiro-Gomez, C. Ocampo-Martinez, N. Quijano, Proceedings of 2018 Annual American Control Conference (ACC), 27-29 June 2018, Milwaukee (USA)
Mitigation of communication failures in distributed model predictive control strategies, W. Ananduta, J. Barreiro-Gomez, C. Ocampo-Martinez, N. Quijano, EIT Control Theory and Applications, 2018
Resilient Distributed Energy Management for Systems of Interconnected Microgrids, W. Ananduta, J. M. Maestre, C. Ocampo-Martinez and H. Ishii, 2018 IEEE Conference on Decision and Control (CDC), FL, USA, 2018, pp. 3159-3164.
Online Partitioning Method for Decentralized Control of LinearSwitching Large-Scale Systems, W. Ananduta, T. Pippia, C. Ocampo-Martinez, J. Sijs, B. De Schutter, Journal of the Franklin Institute, 2019