Economic Dispatch for Optimal Management of Isolated Microgrids Using Random Input Data

Abstract

This work presents the economic dispatch of an isolated non-conventional renewable energy (NCRE) microgrid in conjunction with a diesel generator and a BESS battery bank. For the development of the model, random input scenarios were used based on real measured data of solar radiation and wind speed. Three evaluation scenarios were established using the Monte Carlo method, with synthetic series less than, equal to, and greater than the average. Likewise, the economic dispatch is proposed as a mixed integer linear optimization model MILP, which includes the use of the diesel generator by means of linearization by sections. The economic dispatch is solved for 24 hours for the three possible scenarios, where in the first scenario the demand is supplied in 31.7% by solar power, 12.2% based on the BESS, 1.2% of wind power and 54.9% from the diesel generator, in the second scenario there is 32.5% of solar power, 21.3% of BESS, 4.2% of wind power and 41.9% from the diesel generator. Finally, in the third scenario, 57.7% of the demand is met by solar power, 21% by BESS, 7.7% by wind power and 41.9% by the diesel generator, thus meeting the demand in its entirety for all the proposed scenarios.