Investment planning for construction of wind and diesel systems and storage of electrical energy due to uncertainty and application of Taguchi’s Orthogonal Array Testing for essential factors

Today, high costs of micro grid investment is a major obstacle to the development of this technology, and it should be ensured the return on investment because of the need for huge investment for public use. In recent years, due to environmental problems, to supply load in the form of a micro grid, the generation of new energies with fewer pollutants is used. In this paper, the k-means clustering method is used to model uncertainties and generate scenarios that show the correlation between load demand and wind power generation. Also, all relationships in this optimization problem are solved linearly and the total costs of construction and planning of construction of wind and diesel power generation units and electric energy storage from the ten-year perspective are specified considering construction constraints and problem data.

Keywords:

K-means clustering , Uncertainties , Renewable resources , Construction planning , Scenario production , Micro grid