David obtained his PhD degree in Computer Science and Applied Math to Electric Power Systems from University of Castilla-La Mancha (Spain) in 2013. Prior to Skoltech Dr Pozo worked at Pontificia Universidad Católica de Chile where he did his postdoctoral research from 2013 to 2015.
Dr Pozo’s research interests lie in the field of energy systems and include operations research, uncertainty, games and statistics as well renewable energy and its impact in power systems and electricity markets. He also focuses on problems of optimization and flexibility of modern power systems. Dr Pozo gave undergraduate lectures, workshops and graduate seminars on latest developments in modeling and optimization.
Apart from the University of Castilla-La Mancha and Pontificia Universidad Católica de Chile, he worked at or visited the University of Southampton, UK, and the University of Hong Kong, China. He also participated in a number of privately and publicly funded research projects in Spain, Chile and Brazil.
Dr Pozo is a winner of several public and private grants, including a grant from the Government of Chile (2013) and has published in important international journals.
My research interests include:
14) D. Pozo, E. Sauma, and J. Contreras, “Basic theoretical foundations and insights on bilevel models and their applications to power systems,” Annals of Operations Research, pp. 1-32, 2017, in Press
13) A. Moreira, D. Pozo, A. Street, and E. Sauma, “Reliable Renewable Generation and Transmission Expansion Planning: Co-Optimizing System’s Resources for Meeting Renewable Targets,” IEEE Transactions on Power Systems, 2017, in Press.
12) J. López, D. Pozo, J. Contreras, and J. R. S. Mantovani, “A Multi-Objective Minimax Regret Robust VAr Planning Model,” IEEE Transactions on Power Systems, vol. 32, pp. 1761-1771, May 2017.
11) D. Bravo, E. Sauma, J. Contreras, S. de la Torre, J. Aguado and D. Pozo, “Impact of network payment schemes on transmission expansion planning with variable renewable generation,” Energy Economics, vol. 56, pp. 410-421, May 2016.
10) A. Gourtani, H. Xu, D. Pozo and T.D. Nguyen “Robust Unit Commitment with n − 1 Security Criteria,” Mathematical Methods of Operations Research, vol. 83, pp. 373-408, 2016.
9) J. López, D. Pozo, J. Contreras, and J. R. S. Mantovani, “A convex chance-constrained model for reactive power planning,” International Journal of Electrical Power & Energy Systems, vol. 71, pp. 403-411, 2015.
8) V. Gonzalez, D. Pozo and J. Contreras, “Risk-constrained dynamic energy allocation for a wind power producer,” Electric Power Systems Research, vol. 116, pp. 338-346, Nov 2014.
7) D. Pozo, J. Contreras and E. E. Sauma, “Unit Commitment With Ideal and Generic Energy Storage Units,” IEEE Transactions on Power Systems, vol. 29, no. 6, pp. 2974-2984, Nov 2014.
6) D. Pozo, J. Contreras, and E. Sauma, “If you build it, he will come: Anticipative power transmission planning,” Energy Economics, vol. 36, pp. 135-146, 2013.
5) D. Pozo and J. Contreras, “A Chance-Constrained Unit Commitment with an n-K Security Criterion and Significant Wind Generation,” IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2842-2851, 2013.
4) D. Pozo, E. Sauma and J. Contreras, “A three-level MILP model for generation and transmission expansion planning,” IEEE Transactions on Power Systems, vol. 28, no. 1, pp. 202-210, 2013.
3) F.J. Diaz, J. Contreras, J.I. Munoz and D. Pozo, “Optimal Scheduling of a Price-Taker Cascaded Reservoir System in a Pool-Based Electricity Market,” IEEE Transactions on Power Systems, vol. 26, no. 2, pp. 604-615, 2011.
2) D. Pozo and J. Contreras, “Finding multiple Nash equilibria in pool-based markets: A stochastic EPEC approach,” IEEE Transactions on Power Systems, vol. 26, no. 3, pp. 1744–1752, 2011.
1) D. Pozo, J. Contreras, A. Caballero and A. de Andrés, “Long-term Nash equilibria in electricity markets,” Electric Power Systems Research, vol. 81, no. 2, pp. 329-339, 2011.
Other relevant SJR-Journal Papers (Non-JCR)
1) A. Gourtani, D. Pozo, M. T. Vespucci and H. Xu., “Medium-Term Trading Strategy of a Dominant Electricity Producer.” Energy Systems, vol. 5, no. 2, pp. 323-347, 2014.