Abstract:

The aim of this study is to provide economic optimization in the energy exchange to be realized in the day-ahead and intra-day electricity markets by incorporating an energy storage system into an active electric distribution system. The two-stage stochastic programming problem developed for this purpose was formulated with Mixed Integer Linear Programming (MILP) through the General Algebraic Modeling System (GAMS) and solved with the CPLEX solver. Uncertain parameters in modeling were handled with Monte Carlo Simulation and scenario selection was made in this direction. In order to confirm the accuracy and effectiveness of the proposed model, simulation studies were carried out on a selected pilot feeder of the considered distribution system and with real data. The operating costs, which are considered in the simulation studies, are calculated separately and compared in cases where energy storage is used in the grid. According to the results obtained, when energy storage is integrated into the grid, the average daily operation is reduced by more than 600 dollars compared to the case where no storage is available. Thus, it is confirmed that the proposed model can effectively support the economic operation of the electric distribution system.

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