Reliability assessment of power systems considering renewable energy sources

Abstract

Various types of renewable energy systems can make vulnerable the reliability of the system because of initiating noteworthy degrees of uncertainty and availability despite of their good effects on the system operation cost and global concerns. The difficulty can be removed with using special renewable energy sources with have complimentary in natures. This paper presents the reliability assessment of wind and solar energy based power system at different levels. The optimization problem is to increase the reliability of the system with both solar and wind energy systems. First, the system is developed by taking the effect of uncertain nature of wind and solar energy sources, the probability of the top event and failure rate of different components. The model predictive method is used to take the different future value of the daily data. For this investigation, total 11 cases are taken and reliability indices are considered for every case. Data of each basic event of solar-wind energy system components are taken from the old research. Further, the gamma model is used to obtain the system model and different reliability indices are evaluated. The top event probability for case 1, case 2, case 3, case 4, case 5, case 6, case 7, case 8, case 9, case 10 are 0.0234, 0.0245, 0.0256, 0.0263, 0.0267, 0.0268, 0.273, 0.0278, 0.0286 and 0.0288 respectively. The helpfulness of the proposed technique is provided through different evaluation data.