https://scholar.google.com/citations?user=C8KaYEgAAAAJ&hl=es

Mercados eléctricos - Pregrado y posgradoOperación de Sistemas Eléctricos - Pregrado y posgradoConfiabilidad de Sistemas Eléctricos - Pregrado y posgradoPlanificación de sistemas eléctricos - Pregrado y posgradoModelación Matemática de Máquinas Eléctricas Estáticas y Rotativas - PregradoCircuitos Eléctricos avanzados - PregradoModelación Matemática de Líneas de Transmisión - PregradoElectrónica de Potencia Vinculado a la Red de Transmisión - PosgradoCalidad de energía - Posgrado

Optimal Scheduling of Virtual Power Plants, A Day Ahead Dispatch Using Robust OptimizationAbstract—This paper presents simple yet accurate robust optimization model for day ahead dispatch of virtual power plants in the context of the Colombian energy market. The resulting mathematical model is convex and hence the global optimum is guaranteed. Performance of the proposed optimization model is tested using real data of solar radiation and spot price.

Convex Optimization of Power Systems Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.

Operation of Electrical Power Systems