Measuring reliability of hybrid photovoltaic-wind energy systems: A new indicator


A new reliability indicator to analyze the feasibility of renewable energy systems was formulated.

The probability distributions of solar radiation, wind speed, power output of the turbines and panels were modeled.

A multi-objective optimization problem to design photovoltaic-wind hybrid energy systems was proposed.

An informatics tool to design photovoltaic-wind hybrid energy systems was proposed using genetic algorithm.

A case study was presented to solve the methodology proposed.


The integration of renewable energy systems has increased in the last decades because of the need for new energy sources freely available and environmental friendly. In this sense, photovoltaic-wind hybrid energy systems are an attractive solution, especially in places with good sun and wind resources. However, due to the stochastic and intermittent behavior of these sources, it is necessary to analyze systems’ reliability. In this paper, a new reliability indicator is proposed, based on the minimum hourly electric power obtained from the wind and solar radiation using a probabilistic approach. This indicator is compared with other indicators and the results showed that it increases system reliability by maximizing the use of renewable sources.


  • Hybrid systems;
  • Reliability;
  • Photovoltaic;
  • Wind;
  • Probability distributions;
  • Indicator

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