PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling

Emilio J. Palacios-Garcia, Antonio Moreno-Muñoz, Isabel Santiago, Isabel M. Moreno-Garcia and María I. Milanés-Montero
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Emilio J. Palacios-Garcia: Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, Escuela Politécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain
Antonio Moreno-Muñoz: Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, Escuela Politécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain
Isabel Santiago: Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, Escuela Politécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain
Isabel M. Moreno-Garcia: Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, Escuela Politécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain
María I. Milanés-Montero: Power Electrical and Electronic Systems Research Group, Escuela de Ingenierías Industriales, Universidad de Extremadura, Avda. de Elvas, s/n, E-06006 Badajoz, Spain

Energies, 2017, vol. 10, issue 10, 1-22

Abstract: Reduction of CO 2 emissions is a main target in the future smart grid. This goal is boosting the installation of renewable energy resources (RES), as well as a major consumer engagement that seeks for a more efficient utilization of these resources toward the figure of ‘prosumers’. Nevertheless, these resources present an intermittent nature, which requires the presence of an energy storage system and an energy management system (EMS) to ensure an uninterrupted power supply. Moreover, network-related issues might arise due to the increasing power of renewable resources installed in the grid, the storage systems also being capable of contributing to the network stability. However, to assess these future scenarios and test the control strategies, a simulation system is needed. The aim of this paper is to analyze the interaction between residential consumers with high penetration of PV generation and distributed storage and the grid by means of a high temporal resolution simulation scenario based on a stochastic residential load model and PV production records. Results of the model are presented for different PV power rates and storage capacities, as well as a two-level charging strategy as a mechanism for increasing the hosting capacity (HC) of the network.

Keywords: stochastic load modeling; solar power generation; energy storage; hosting capacity; energy management system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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