no code implementations • 31 May 2024 • Tomislav Antic, Andrew Keane, Tomislav Capuder
Hosting capacity (HC) and dynamic operating envelopes (DOEs), defined as dynamic, time-varying HC, are calculated using three-phase optimal power flow (OPF) formulations.
no code implementations • 30 Sep 2023 • Tomislav Antic, Tomislav Capuder
The results of simulations are visualised using a GIS tool, and based on the results, time periods that are most affected by the change of end-users behaviour are detected.
no code implementations • 19 Jul 2023 • Tomislav Antic, Andrew Keane, Tomislav Capuder
Linearized and relaxed three-phase OPF formulations respectively lose their accuracy and exactness when applied to solve the hosting capacity problem, and only non-linear programming (NLP) models guarantee the exact solution.
no code implementations • 16 Apr 2023 • Tomislav Antic, Frederik Geth, Tomislav Capuder
End-users more often decide to invest in distributed generation (DG) units that help them in decreasing electricity bills and allow them to become a market player by selling the excess produced electricity.
no code implementations • 30 Jun 2022 • Karlo Sepetanc, Hrvoje Pandzic, Tomislav Capuder
After presenting the idea and scope of our work, as well as the model itself and the solution algorithm in the companion paper (Part I), this paper presents a number of existing solution techniques and the proposed one based on smoothing the complementary conditions.
no code implementations • 28 Jun 2022 • Karlo Šepetanc, Hrvoje Pandžić, Tomislav Capuder
This paper proposes a novel bilevel formulation based on the smoothing technique, where any price-affecting strategic player can be modelled in the upper level, while the market clearing problem in the lower level uses convex quadratic transmission AC optimal power flow (AC OPF), with the goal of achieving accuracy close to the one of the exact nonlinear formulations.
