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- W4214566057 abstract "Aiming at the problem that the operating environment of photovoltaic arrays is complex and the operating status affects its power generation efficiency and service life, a new method based on combined weight and Markov Chain Monte Carlo (MCMC) dynamic simulation is proposed used to evaluate the status of photovoltaic arrays. Firstly, the failure probability about evaluation system of photovoltaic module string units is constructed under the premise of considering the impact of environmental factors on the evaluation indicators, combined with the G 1 method and entropy weight method to combine the weights of the evaluation indicators and obtain the failure probability of photovoltaic modules string unit. Then by establishing the relationship between random variables and evaluation indicators, using MCMC to simulate the state of the photovoltaic array. The simulation results show that the method can accurately reflect the operating status of the photovoltaic array, identify abnormal arrays and give early warnings in time, which can provide a reference for the intelligent maintenance of photovoltaic arrays." @default.
- W4214566057 created "2022-03-02" @default.
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- W4214566057 date "2021-10-22" @default.
- W4214566057 modified "2023-09-29" @default.
- W4214566057 title "A Photovoltaic Array State Evaluation Method Based on Combined Weight and MCMC" @default.
- W4214566057 doi "https://doi.org/10.1109/ei252483.2021.9713080" @default.
- W4214566057 hasPublicationYear "2021" @default.
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