hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems
arXiv:1811.10496 · doi:10.1109/TPWRS.2019.2942988
Abstract
High-voltage direct current (HVDC) systems are increasingly incorporated into today's AC power grids, necessitating optimal power flow (OPF) tools for the analysis, planning, and operation of such hybrid systems. To this end, we introduce hynet, a Python-based open-source OPF framework for hybrid AC/DC grids with point-to-point and radial multi-terminal HVDC systems. hynet's design promotes ease of use and extensibility, which is supported by the particular mathematical model and software design presented in this paper. The system model features a unified representation of AC and DC subgrids as well as a concise and flexible converter model, which enable the compact description of a hybrid AC/DC power system and its OPF problem. To support convex relaxation based OPF solution techniques, a state space relaxation is introduced to obtain a unified OPF formulation that is analogous to the OPF of AC power systems. This enables the direct generalization of relaxation-related results for AC grids to hybrid AC/DC grids, which is shown for the semidefinite and second-order cone relaxation as well as associated results on exactness and locational marginal prices. Finally, hynet's object-oriented software design is discussed, which provides extensibility via inheritance and standard design patterns, and its robust and competitive performance is illustrated with case studies.
arXiv commentIEEE Transactions on Power Systems, accepted
References in corpus (8)
- pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems
- Convex Relaxation of Optimal Power Flow, Part I: Formulations and Equivalence
- Convex Relaxation of Optimal Power Flow, Part II: Exactness
- Strong SOCP Relaxations for the Optimal Power Flow Problem
- Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids
- A Hybrid Transmission Grid Architecture Enabling Efficient Optimal Power Flow
- On the Robustness and Scalability of Semidefinite Relaxation for Optimal Power Flow Problems
- The Hybrid Transmission Grid Architecture: Benefits in Nodal Pricing