Print Email Facebook Twitter A Mixed-integer Linear Programming Model for Defining Customer Export Limit in PV-rich Low-voltage Distribution Networks Title A Mixed-integer Linear Programming Model for Defining Customer Export Limit in PV-rich Low-voltage Distribution Networks Author Vergara Barrios, P.P. (TU Delft Intelligent Electrical Power Grids) Giraldo, Juan S. (TNO) Salazar, Mauricio (Eindhoven University of Technology) Panda, Nanda Kishor (TU Delft Intelligent Electrical Power Grids) Nguyen, Phuong H. (Eindhoven University of Technology) Date 2023 Abstract A photovoltaic (PV)-rich low-voltage (LV) distribution network poses a limit on the export power of PVs due to the voltage magnitude constraints. By defining a customer export limit, switching off the PV inverters can be avoided, and thus reducing power curtailment. Based on this, this paper proposes a mixed-integer nonlinear programming (MINLP) model to define such optimal customer export. The MINLP model aims to minimize the total PV power curtailment while considering the technical operation of the distribution network. First, a nonlinear mathematical formulation is presented. Then, a new set of linearizations approximating the Euclidean norm is introduced to turn the MINLP model into an MILP formulation that can be solved with reasonable computational effort. An extension to consider multiple stochastic scenarios is also presented. The proposed model has been tested in a real LV distribution network using smart meter measurements and irradiance profiles from a case study in the Netherlands. To assess the quality of the solution provided by the proposed MILP model, Monte Carlo simulations are executed in OpenDSS, while an error assessment between the original MINLP and the approximated MILP model has been conducted. Subject Low-voltage distribution networkphotovoltaic (PV) curtailmentoptimal power flowMonte Carlo simulations To reference this document use: http://resolver.tudelft.nl/uuid:d44a957c-76bf-479d-a095-d944b7c23ff1 DOI https://doi.org/10.35833/MPCE.2022.000400 ISSN 2196-5420 Source Journal of Modern Power Systems and Clean Energy (MPCE), 11 (1), 191-200 Part of collection Institutional Repository Document type journal article Rights © 2023 P.P. Vergara Barrios, Juan S. Giraldo, Mauricio Salazar, Nanda Kishor Panda, Phuong H. Nguyen Files PDF A_Mixed_integer_Linear_Pr ... tworks.pdf 1.07 MB Close viewer /islandora/object/uuid:d44a957c-76bf-479d-a095-d944b7c23ff1/datastream/OBJ/view