Optimal Operation of Isolated Power System San Cristobal Island, with Renewable Power Generation and Electric Vehicles

Abstract

This article proposes an algorithm for optimum operation of isolated electrical systems, which minimizes the costs of producing electricity in a mix of wind turbines and thermal generators. Intelligent recharging of electric vehicles and energy storage systems is included in the analysis. To model the randomness of wind generation and electricity demand, a scenario tree is generated by the Neural Gas method. The proposed methodology is applied to a case study on the island of San Cristóbal in the Galapagos Archipelago as a contribution that encourages to reduce the high dependence of fossil fuels for the production of electricity and for the transportation of goods and people and in the to reduce the economic and environmental problems of fuel transportation from the continent.