Chapter 11 - Stochastic-based energy management of hybrid AC/DC microgrid

Abstract

In this chapter, optimal operation of a hybrid AC/DC microgrid (MG) is investigated under uncertainties of power price, load demand, wind speed, and solar irradiation using the stochastic programming method. To model the mentioned uncertainties using the stochastic programming method, 10 discrete scenarios are generated. The normal distribution is used to generate scenarios of power price, load demand, and solar irradiation, and Weibull distribution is used to generate wind speed scenarios. To reduce the total operating cost of the system, time-based demand response (DR) programs are implemented in DC subgrids and incentive-based programs are implemented in the AC subgrids. The stochastic-based energy management problem of hybrid AC/DC MG is formulated as a mixed-integer nonlinear programming method and solved in two cases, with- and without-DR programs using the DICOPT solver in GAMS optimization software. The results are provided in different scenarios to help the decision-maker obtain an optimal decision in system management.