2020-03-262020-03-2620192019 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2019 - Proceedings9781728116266https://hdl.handle.net/20.500.12585/9146This 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.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/A Sequential Quadratic Programming Model for the Economic-Environmental Dispatch in MT-HVDCinfo:eu-repo/semantics/conferenceObject10.1109/PEPQA.2019.8851570Direct-current gridseconomic-environmental dispatch problemmulti-objective optimizationsequential quadratic programmingweighting factor methodElectric power system economicsElectric power transmission networksGas emissionsGas plantsGreenhouse gasesHVDC power transmissionMATLABMultiobjective optimizationPower electronicsPower qualityQuadratic programmingDirect currentEconomic environmental dispatchesMulti-objective problemOptimization packagesPower balance equationsSequential quadratic programmingTaylor's series expansionWeighting factorsElectric load dispatchinginfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB569195641005719149364836449223500