Optimal Planning Model for Grid-Connected Micro-grids Considering Uncertainties of Renewable Sources, Loads and Electrical Price
This study proposes a planning framework for grid-connected micro-grids to determine the power, technology, types and invested time of the renewable sources during planning period of project. The uncertainty of parameters is modeled by the probability distribution functions, then the clustering technique is utilized to divide into different states and integrated in an optimal model. A mixed-integer programming model with objective is based on life cycle cost of project including investment cost of renewable sources, operation cost, energy cost and emission cost of micro-grid. Constraints are created to balance energy and limit power of sources in each scenario. The simulation result by GAMS/CPLEX for the test micro-grid shows effects of the model with uncertainty parameters because of reducing life cycle cost and emission cost. Moreover, the change of parameters simulated in model that is similar to the practical parameters enhances the accuracy and effectiveness of the project.
KeywordsLife cycle cost Micro-grid Planning Renewable sources Uncertainty
This work is supported in part by Thai Nguyen University of Technology (TNUT) with the finance coming from another project.
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