Energy storage-embedded soft open point (ESOP) is an innovative electronic device that incorporates energy storage capabilities and is designed to interconnect two or three neighboring distribution feeders. Its primary functions include active power control, reactive power compensation, and grid voltage regulation. On the other hand, distribution grids have been equipped with other distributed energy resources (DERs) such as smart PV inverters, renewable energy sources (solar and wind), and so on. Therefore, this article proposes a novel management scheme for the mentioned devices in distribution grids based on a convex formulation to take powerful solvers like CPLEX into account. Since there are a set of uncertainties associated with the model, including renewable resources, loads, and market price, a hybrid framework is developed based on the unscented transformation (UT) method and information gap decision theory (IGDT). In other words, the uncertainties of renewable resources and l
Electronic-based technologies are becoming more interesting because of their advantages, such as quick response, higher lifespan, etc. Soft open point is a cutting-edge device that has been recently introduced for distribution grids. It is generally installed in tie switches, resulting in a transfer of the powers among two regions of the network. However, there are other distributed generation resources in the active distribution networks, like smart photovoltaic inverters (SPIs), energy storage systems (ESSs), diesel generators (DGs), etc. Accordingly, taking into account the coordination among mentioned technologies is essential. This paper aims to provide a strategy for simultaneous management of all mentioned resources based on a convex model, leading to taking advantage of commercial solvers, e.g., CPLEX. The uncertainties of loads and renewable energies directly affect such management schemes in addition to mentioned coordination. This paper, therefore, uses a robust framework en