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- 저자 : Ayvaz Birsen Boylu (검색결과 1 건)
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Probabilistic Power Flow Analysis Using Matlab Graphical User Interface (GUI)
Kurt Unal,Ozgonenel Okan,Ayvaz Birsen Boylu 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2
In today’s power systems, there are renewable energy sources such as wind energy systems and solar energy systems. Renewable energy sources cause extra power fl uctuation in the system. Rising of the fl uctuation incresas the uncertainties of the power system. Since deterministic methods that do not contain uncertainty because of using certain fi xed values instead of probabilistic values, these methods can not give reliable results under uncertainties. Therefore, statistical load fl ow, also known as probabilistic load fl ow, has taken its place as a new title in the literature in order to overcome the defi ciencies of conventional load fl ow methods which do not contain uncertainty. In this study, a comparative analysis of Monte Carlo simulation with Latin Hypercube sampling method and Unscented transformation methods are presented. These methods are compared with the results obtained from the classical Monte Carlo simulation method. IEEE 14 and 30 bus test systems and Ondokuz Mayıs University campus distribution system were chosed as a test system for the application of the proposed methods. The results show that Unscented transformation method is faster and more reliable than the other two methods.
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