Persona:
Pérez Molina, Clara María

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0000-0001-8260-4155
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Pérez Molina
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Clara María
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2017 - 20192
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Tipo: artículo × Fecha de inicio: 2017 × Fecha de finalización: 2019 ×

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Mostrando 1 - 2 de 2
  • Miniatura
    Publicación
    Smart Grid: Assessment of the past and present in developed and developing countries
    (ELSEVIER, 2017) Ponce Jara, Marcos Antonio; Ruiz Larrocha, Elena; Gil Ortego, Rosario; San Cristóbal Ruiz, Elio; Pérez Molina, Clara María; Castro Gil, Manuel Alonso; https://orcid.org/0000-0002-4450-4740
    The modern struggle to generate electricity reducing our dependence on fossil fuels and decreasing greenhouse gas emissions has found an ally in Smart Grid technology. This new trend involves a renewed perspective on how to generate, transmit, distribute and manage electricity networks, which not only helps to reduce power demand and cost, but can also improve efficiency, reliability, quality and security. This paper aims to study comprehensively the Smart Grid power system by comparing experiences and success stories from around the world. Developed countries, like the United States and those in the European Union, and developing countries, like India and Brazil, have been taken as examples of the current development and state of the Smart Grid concept. Europe and the U.S. lead the development of Smart Grids systems, while Brazil and India strongly depend on foreign technology and investment for their development in their countries. Climate change represents an extra challenge for developing countries, in addition to other issues related to economic and social advancement. Nevertheless, Smart Grids offer an array of possibilities and opportunities that work towards climate change international goals. However, state motivations and national energy resources limit the advancement of Smart Grids on this matter.
  • Miniatura
    Publicación
    Optimized design method for storage systems in photovoltaic plants with delivery limitation
    (Elsevier, 2019-03-01) Colmenar Santos, Antonio; Mario Monteagudo Mencucci; Enrique Rosales-Asensio; Miguel de Simón Martín; Pérez Molina, Clara María
    It results widely common for distribution network operators to impose restrictions on delivered solar photovoltaic generated power when the power plant rated power is greater than the maximum allowed due to the distribution network capacity. Thus, a feasible solution to maximize the performance of the solar power plant is the integration of battery energy storage systems. Although this configuration has been extensively studied in the existing literature, an optimal design method to determine the proper size and operation of the energy storage system needs to be developed. In this paper, a novel method to help power plants designers to determine the optimal battery energy storage capacity to integrate into any solar photovoltaic power plant is provided. The proposed algorithm minimizes the potential power curtailment and optimizes the utilization rate of the batteries storage system. The algorithm can be applied to any grid connected solar photovoltaic power plant under delivery power restrictions, regardless of power capacity and location. The algorithm has been implemented to a simulated power plant with delivery limitations based in a real case, and results with the optimal battery capacity show that the system would be able to recover up to the 83% of the curtailed energy and a yearly average capacity utilization of 56%. Moreover, the BESS operation has been validated with a scaled model run in Simulink and laboratory measurements, achieving 98% of curtailed energy recovery rate and a 57% of average capacity utilization.