A conservative framework for obtaining uncertain bands of multiple wind farms in electric power networks by proposed IGDT-based approach considering decision-maker's preferences

Exploiting clean energy resources (CERs) is an applicable way to enhance sustainable development and have the cleaner production of electricity. On other hand, variability intermittency these are important disadvantages for determining reliable operation electrical grids. Thus, using uncertainty modeling techniques seems necessary more practical values decision-making variables. The current paper demonstrates a novel architecture based on Information Gap Decision Theory (IGDT) model randomness multiple Wind Farms (WFs) existing in electric power networks. Note that employing only IGDT technique cannot consider preferences defined by decision-maker. In contrast, proposed method tackles this issue considering different radii related uncertain parameters. It has been proven presented approach time-saving if compared with Monte Carlo Simulation (MCS) Epsilon-constraint-based-IGDT. Moreover, execution time methodology does not considerably depend number WFs system. means increases particular case study, consequently, noticeably rise MCS Furthermore, equivalent Mixed Integer Linear Programming (MILP) original employed guarantee optimum solution. performances demonstrated utilizing IEEE 30 BUS 62 systems.