Abstract
Renewable energy can address the issues of energy shortage and carbon emissions. However, high penetration of renewable generation will pose severe challenges to the security of power systems, due to the uncertainty of renewable energy generation (REG). In this paper, a host of scenarios are generated via Monte-Carlo approach to describe the uncertainty of REG. For the purposes of balancing the accuracy and efficiency, back-substitution method is used to reduce scenarios and internment representative ones. Consequently, an optimal scheduling model, considering the uncertainty of photovoltaic and wind power, is established with the lowest operating cost as the objective. Additionally, the influence of uncertainty of REG on the dispatch of microgrid and the setting of battery capacity is investigated.
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