An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach

This paper addresses the classical problem of optimal location and sizing of distributed generators (DGs) in radial distribution networks by presenting a mixed-integer nonlinear programming (MINLP) model. To solve such model, we employ the General Algebraic Modeling System (GAMS) in conjunction with the BONMIN solver, presenting its characteristics in a tutorial style. To operate all the DGs, we assume they are dispatched with a unity power factor. Test systems with 33 and 69 buses are employed to validate the proposed solution methodology by comparing its results with multiple approaches previously reported in the specialized literature. A 27-node test system is also used for locating photovoltaic (PV) sources considering the power capacity of the Caribbean region in Colombia during a typical sunny day. Numerical results confirm the efficiency and accuracy of the MINLP model and its solution is validated through the GAMS package. © 2019 Ain Shams University

• Fecha de publicación: 2019
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/9246
• Acceso en línea: https://hdl.handle.net/20.500.12585/9246
• Palabra clave: Distributed generation; Distribution systems; General algebraic modeling system; Mixed-integer nonlinear programming; Optimal location and sizing of distributed generation; Algebra; Distributed power generation; Integer programming; Location; Algebraic modeling; Distributed generator (DGs); Distribution systems; Mixed integer nonlinear programming models; Mixed-integer nonlinear programming; Optimal locations; Radial distribution networks; Solution methodology; Nonlinear programming
• Rights: openAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/