Rigoni, ValentinValentinRigoniKeane, AndrewAndrewKeane2024-06-252024-06-252020 IEEE2020-08-0697817281550811944-9925http://hdl.handle.net/10197/26357The 2020 IEEE Power & Energy Society (PES) General Meeting, Virtual Conference, 3-6 August 2020It has been widely demonstrated that active network management (ANM) strategies will be required to avoid the violation of network operational limits in distribution networks with a rich presence of distributed energy resources (DERs). With the characteristics of different ANM strategies been varied, e.g. centralized or decentralized, a platform where the benefits and drawbacks of multiple approaches can be easily quantified and benchmarked is required. This work introduces an open-source python-based package with a three-phase unbalanced optimal power flow (OPF) model that is automatically created by extracting the data available from any network modelled in OpenDSS. This OPF formulation is flexible, enabling to incorporate any DER model and modify the objective function and constraints, opening many simulation opportunities.en© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Distributed energy resourcesDistribution networksOptimizationSmart gridsUnbalanced power flowConference Publication10.1109/PESGM41954.2020.92821252021-01-2715/SPP/E3125https://creativecommons.org/licenses/by-nc-nd/3.0/ie/