Risk‐averse optimal operation of an on‐grid photovoltaic/battery/diesel generator hybrid energy system using information gap decision theory

Abstract This paper focuses on risk‐averse‐based optimal operation of a grid‐connected hybrid energy system (HES) composed photovoltaic (PV), diesel generator, and battery storage (BSS). For this goal, information gap decision theory (IGDT) is used to model load demand uncertainty. The aim the minimize cost PV/diesel/BSS by determination power purchased from electricity grid. Since in risk‐averse strategy, has an undesirable impact objective function, maker attempts maximize uncertainty radius way that any deviation uncertain parameter leads function value which not worse than critical value. Over case studies (considering different radiations), simulation results indicate risk‐neutral at high, medium, low radiations, 28.88, 36.10, 42.63$, respectively. In when radiation increase factor 0.1 0.25, increases 6.98% 15.72% (increase around 125%) 31.768 36.101$. When low, 8.64% 16.9% 96%) 46.895 53.291$.