Distributed power generation is a new type of renewable energy that can improve energy utilization efficiency and reduce environmental pollution. Its power generation mode is wind power, photovoltaic and cogeneration. This paper introduces the problems faced by the application of cloud computing system in power network and studies its solutions. Aiming at the shortcomings of the traditional uncertainty analysis method based on the node voltage, such as low accuracy and easy loss of data, an improved algorithm is proposed to improve the power quality of the node and improve the global resource utilization ratio, combining with the characteristics of distributed power generation. After that, the energy detection method of the system is tested. The test results show that the distributed energy system has short detection time and low average detection time, which indicates that the distributed energy system has fast energy detection time, good performance, high detection power and low error rate.

Farquhar Smith Paul. Optimization of Distributed System Energy Detection Method Considering Cloud Computing. Distributed Processing System (2022), Vol. 3, Issue 4: 10-18. https://doi.org/10.38007/DPS.2022.030402.

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