Document Type : Original Article


Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Evin, Tehran, Iran


Using hybrid renewable energy is one of the best alternatives to supply the electrical energy at remote areas. Renewable energy sources are depended to weather conditions or other factors, so for supplying load with renewable sources appropriate capacity of these sources should be selected. In determining the capacity of renewable energy such as wind and solar, considering the stochastic nature of wind speed and solar radiation is very of the problems of using energies like Wind and PV in micro-grid is their Intrinsic uncertainty and their random stochastic which made programming and predicting of such resources complicated.
In this Project, stochastic programming and probability scenarios are used in order to model uncertainty in both Wind and PV resources. Optimum programming of micro-grid which is connected to the main grid is considered by mixed integer programming in Gams software in which Virtual Power Producer manages optimum producing and load control by using main control system.
In order to solve the economic distribution of power in a micro-grid with different constraints, such as load and generation balancing, generation constraints, charging of storage resources in different scenarios and also the issue of unit commitment for sources of generation, the mixed integrated programming approach in this paper has been used.


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