Optimization of the Microgrid Scheduling with Considering Contingencies in an Uncertainty Environment


1 Electrical Engineering Department of Islamic Azad University-South Tehran Branch, Tehran, Iran

2 Electrical and Computer Engineering Islamic Azad University-South Tehran Branch, Tehran, Iran.

3 Electrical Engineering Department of Islamic Azad University-South Tehran Branch, Tehran, Iran.


In this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. System
uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic
model. For handling uncertainties, Monte Carlo simulation is employed for generation several scenarios and then a reduction
method is used to decrease the number of scenarios. The scenarios are used in second stage of the stochastic model to check
the system security. The amount of spinning reserve and energy are optimized in the first stage by minimizing the total cost
of operation. A sample microgrid is used to compare the offered stochastic model with the deterministic one


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