摘要：AbstractIn this paper, a visual-detection (VD)-based fruit fly optimization algorithm (FOA) is proposed for solving a robust analysis problem of integrated energy systems (IES) with energy storage based on the information gap decision theory (IGDT). In the searching phase, the VD-based decision delay and visual feature detection are incorporated within the FOA. VD-FOA changes the search radius of fruit fly according to the variance of smell concentration, which can solve the problem that fruit fly optimization algorithm is easy to fall into local optimization, where standard test functions are also adopted to test the proposed algorithm. The proposed VD-FOA is superior to the basic FOA and is applied to solve the IGDT-based robust analysis problem of IES with energy storage. The simulation results show the applicability and effectiveness of the proposed algorithm.
关键词：Keywordssmart gridscontrol of renewable energy resourcespower systems stabilityintelligent control of power systemsoptimal operationcontrol of power systems
