A Sequential Quadratic Programming Model for the Economic-Environmental Dispatch in MT-HVDC

This paper addresses the economic-environmental dispatch problem for thermal plants on a Multi-terminal HVDC power grid. A multi-objective optimization approach is used for modeling the compromise between fuel costs and the greenhouse gas emissions by the thermal plants. The grid topology is also considered by proposing a convex reformulation of the power balance equations through Taylor's series expansion method. To eliminate the error introduced by this linear approximation a sequential quadratic programming approach is applied by solving the multi-objective problem by a single-objective equivalent via weighting factor approach. A standard 6-node HVDC system is used to validate the proposed convex formulation. All simulations are performed in MATLAB with the quadprog optimization package. © 2019 IEEE.

• Fecha de publicación: 2019
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/9146
• Acceso en línea: https://hdl.handle.net/20.500.12585/9146
• Palabra clave: Direct-current grids; economic-environmental dispatch problem; multi-objective optimization; sequential quadratic programming; weighting factor method; Electric power system economics; Electric power transmission networks; Gas emissions; Gas plants; Greenhouse gases; HVDC power transmission; MATLAB; Multiobjective optimization; Power electronics; Power quality; Quadratic programming; Direct current; Economic environmental dispatches; Multi-objective problem; Optimization packages; Power balance equations; Sequential quadratic programming; Taylor's series expansion; Weighting factors; Electric load dispatching
• Rights: restrictedAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/