Rafael Zárate-Miñano

Tenured Associate Professor / Profesor Titular

University of Castilla-La Mancha
Country flagSpain

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Rafael Zárate-Miñano is a Tenured Associate Professor at Universidad de Castilla-La Mancha in Spain. His research areas include optimization methods for thermoelectric generators, hydro-power generator modeling, and the integration of electric vehicles in low-voltage distribution networks. He focuses on enhancing energy harvesting, analyzing power flow problems, and evaluating the impact of frequency variations on power generation. His recent publications reflect a dedication to advancing sustainable energy solutions and technologies.

Articles (6)

Year:

2024

Year:

2023

With the growing emphasis on sustainability in the power sector, it becomes imperative to ensure that every component of the power system operates optimally and efficiently. More sustainable power system operation can be achieved by relying on accurate models that ensure resources, especially those from renewable sources like hydro-power, are utilized to their fullest potential. In many optimization problems based on optimal power flow formulations, the steady-state operation characteristics of hydro-power plants are modeled in an approximate manner, which could potentially lead to solutions that do not fully exploit their capabilities or even to solutions that jeopardize their stable operation. This work proposes a formulation for the complete capability curve of the plant, including the exact modeling of its generator stability limits. The ability of the proposed formulation to reproduce the plant operation boundaries is appropriately demonstrated through a test case. Furthermore, two approximate formulations commonly used in the literature are solved, highlighting their limitations. It is concluded that the complete representation of the capability curve can improve the quality of solutions provided by OPF-based problems.

Year:

2023

Year:

2020

Year:

2020

Year:

2020

Collaborators (4)

Ruth Dominguez

VSB - Technical University of Ostrava

CZECH REPUBLIC
View details

Miguel Cañas Carretón

Profesor Titular de Universidad

Universidad de Castilla-La Mancha - Campus de Albacete

SPAIN
View details

Pablo Fernández-Yáñez

Profesor Titular de Universidad / Associate proffesor (tenured)

University of Castilla-La Mancha

SPAIN
View details

Miguel Carrión

University of Castilla-La Mancha

SPAIN
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.