Technical-Economical Probabilistic Analysis of a Multi-Source System
| Autor: | André Luiz Veiga Gimenes, Katia Gregio Di Santo, Silvio Giuseppe Di Santo, Madhav Manjrekar, Rodney Itiki, Luis Fernando Moreira Machado, Miguel Edgar Morales Udaeta |
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| Rok vydání: | 2020 |
| Předmět: |
Battery (electricity)
Computer science 020209 energy Monte Carlo method 02 engineering and technology Power factor Reliability engineering Generator (circuit theory) 020401 chemical engineering 0202 electrical engineering electronic engineering information engineering Probabilistic analysis of algorithms 0204 chemical engineering Multi-source Transformer (machine learning model) Voltage |
| Zdroj: | 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). |
| DOI: | 10.1109/td39804.2020.9300021 |
| Popis: | The article presents a probabilistic analysis of the dispatch of a multi-source system. It was used the Monte Carlo method to evaluate the voltage and current profiles in the load and the battery, as well as the power factor and transformer loading. Besides, an economic analysis was carried out for each scenario generated, finding the optimal operation cost of the system. The optimal scenario was that which resulted in a decrease of 23.89% in cost operations when compared to the one without battery and generator. |
| Databáze: | OpenAIRE |
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