Spring 2017, Volume 1 - Number 1 علمی-پژوهشی (وزارت علوم) (17 صفحه - از 1 تا 17)
Energy Hub is an appropriate framework for modeling and optimal scheduling of multi-energy systems(MES). Energy hub provides the possibility of integrated management of various inputs, converters, storagesystems, and outputs of multiple energy carrier systems. However, the optimal management problemin the energy hub is affected by various technical, economic, social and environmental parameters. Manyof these parameters are inherently ambiguous and uncertain. Fluctuating nature of renewable energysources (RES), energy prices in competitive and deregulated markets, the behavior of consumers, inherentvariations in the surrounding environment, simplifications and approximations in modeling, linguistic terms of experts, etc. are just a few examples of uncertainties in the optimal management problem of energy hub. Ignoring such uncertainties in the process of modeling and optimization of energy hubleads to unrealistic models and inaccurate results. On the other hand adding these uncertainties leads toincreased complexity of modeling and optimization. Therefore, to achieve a realistic model of MES in theform of energy hubs, identifying appropriate methods to address these uncertainties is essential. Thispaper reviews the different methods for the consideration of uncertainty in optimal scheduling of energyhubs. In this paper, different methods of modeling and optimization of energy hub are reviewed andclassified and their strengths and weaknesses are discussed. A classification and review of the variousmethods that offered in the most recent research of MES in the field of uncertainty modeling are done toidentify efficient methods for using in energy hub models.
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- (پژوهیار, , , )