(0000) A Multi Slack Optimization Model for Scheduling Energy Hubs in Smart Grids

iman gerami moghaddam, Mohsen Saniei, Elahe Mashhour

Abstract


– This paper provides a multi slack optimization model in order to manage the operation of an energy hub in the smart grids.  This model is centralized on a multi slack one in which the proposed slack variables are in line with the actual energy providers. Both electrical and thermal loads are considered in this model. An external grid and boilers are respectively used for slack generation units for satisfying electrical and thermal loads. In order to reduce the penalty factors in optimization model, we addressed fair and suitable slack variables in the optimization model. In a real power system, energy storage devices could affect the optimal operation in short-term planning. The main role of such devices in smart grids is reducing the operational costs because of their state of charge (SOC) in peak, medium and base loads. Such devices could also handle the load and generation uncertainties in real world. In this model, we implement this feature to handle the uncertainties in the random variable generation sector of optimization algorithm. The proposed method could handle this challenge by discharging the stored energy if the slack unit couldn’t satisfy the demanded load and vice versa.  In order to evaluate the effectiveness of proposed method, a benchmark is provided in this paper. The hourly electrical and thermal demands have been extracted from DesignBuilder® for a commercial building. The simulation results show that the presented method is both satisfactory and consistent with expectation. 

Keywords


: Energy Hub;Combined heat and power; Multi-Slack Optimization Model; State of Charge

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References


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