Ioannis Konstantelos is a Research Fellow working on the optimisation and control of energy systems. His research focuses on the integration of renewables and the role of new technologies such as energy storage and demand-side schemes. He has published extensively on how these new technologies can provide flexiblity and help manage uncertainty at operation as well long-term planning timescales. Ioannis analyses energy systems by developing new computational methods including: optimisation, problem decomposition and convexification, statisitcal learning, uncertainty quantification and Monte Carlo sampling.
Oulis Rousis A, Konstantelos I, Strbac G, 2019, A planning model for a hybrid AC/DC microgrid using a novel GA/AC OPF algorithm, Ieee Transactions on Power Systems, ISSN:0885-8950
Cremer J, Konstantelos I, Strbac G, From optimization-based machine learning to interpretable security rules for operation, Ieee Transactions on Power Systems, ISSN:0885-8950
et al., 2019, Impact of uncertainties on resilient operation of microgrids: A data-driven approach, Ieee Access, Vol:7, ISSN:2169-3536, Pages:14924-14937
et al., 2019, Data-driven power system operation: Exploring the balance between cost and risk, Ieee Transactions on Power Systems, Vol:34, ISSN:0885-8950, Pages:791-801
et al., 2019, An AC OPF with voltage – frequency coupling constraints for addressing operational challenges of AC/DC microgrids, REM2018: Renewable Energy Integration with Mini/Microgrid, Elsevier, Pages:261-266, ISSN:1876-6102