Evaluation of wind-solar hybrid power generation system based on Monte Carlo method

Yitong Niu, Ahmed Mohammed Merza, Suhad Ibraheem Kadhem, Jamal Fadhil Tawfeq, Poh Soon JosephNg, Hassan Muwafaq Gheni


The application of wind-photovoltaic complementary power generation systems is becoming more and more widespread, but its intermittent and fluctuating characteristics may have a certain impact on the system's reliability. To better evaluate the reliability of stand-alone power generation systems with wind and photovoltaic generators, a reliability assessment model for stand-alone power generation systems with wind and photovoltaic generators was developed based on the analysis of the impact of wind and photovoltaic generator outages and derating on reliability. A sequential Monte Carlo method was used to evaluate the impact of the wind turbine, photovoltaic (PV) turbine, wind/photovoltaic complementary system, the randomness of wind turbine/photovoltaic outage status and penetration rate on the reliability of Independent photovoltaic power generation system (IPPS) under the reliability test system (RBTS). The results show that this reliability assessment method can provide some reference for planning the actual IPP system with wind and complementary solar systems.


Monte Carlo algorithm; permeability; power generation system; reliability assessment; wind-solar hybrid;

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DOI: http://doi.org/10.11591/ijece.v13i4.pp4401-4411

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578

This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).