Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability

[EN] In rural areas or in isolated communities in developing countries it is increasingly common to install micro-renewable sources, such as photovoltaic (PV) systems, by residential consumers without access to the utility distribution network. The reliability of the supply provided by these stand-a...

ver descrição completa

Detalhes bibliográficos
Autores: Quiles Cucarella, Eduardo|||0000-0003-0578-4716, Roldán-Blay, Carlos|||0000-0001-9459-0563, Escrivá-Escrivá, Guillermo|||0000-0002-3202-4571, Roldán-Porta, Carlos|||0000-0002-5088-3521
Tipo de documento: artigo
Data de publicação:2020
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositório:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglês
OAI Identifier:oai:riunet.upv.es:10251/166741
Acesso em linha:https://riunet.upv.es/handle/10251/166741
Access Level:Acceso aberto
Palavra-chave:Renewable energy
Photovoltaic generation
Battery storage
Reliability evaluation
Monte Carlo Simulation
INGENIERIA ELECTRICA
INGENIERIA DE SISTEMAS Y AUTOMATICA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles
Descrição
Resumo:[EN] In rural areas or in isolated communities in developing countries it is increasingly common to install micro-renewable sources, such as photovoltaic (PV) systems, by residential consumers without access to the utility distribution network. The reliability of the supply provided by these stand-alone generators is a key issue when designing the PV system. The proper system sizing for a minimum level of reliability avoids unacceptable continuity of supply (undersized system) and unnecessary costs (oversized system). This paper presents a method for the accurate sizing of stand-alone photovoltaic (SAPV) residential generation systems for a pre-established reliability level. The proposed method is based on the application of a sequential random Monte Carlo simulation to the system model. Uncertainties of solar radiation, energy demand, and component failures are simultaneously considered. The results of the case study facilitate the sizing of the main energy elements (solar panels and battery) depending on the required level of reliability, taking into account the uncertainties that affect this type of facility. The analysis carried out demonstrates that deterministic designs of SAPV systems based on average demand and radiation values or the average number of consecutive cloudy days can lead to inadequate levels of continuity of supply.