Hierarchical Decentralized Autonomous Control in Super-Distributed Energy System

This paper deals with a decentralized autonomous control strategy of a super-distributed energy system with a hierarchical structure in order to reduce the complexity of control. In this paper, distribution systems are assumed to be composed of multiple small-scale power systems in which many customers with dispersed generators exist. A small-scale power system can be considered as a unit with a generator state and a load state, or as a customer with dispersed generators. Control components of small-scale power systems are interconnected with each other and are used to operate distribution systems. An expanded decentralized autonomous control method for a super-distributed energy system with a hierarchical structure is proposed based on the Hopfield neural network. It is demonstrated that super-distributed energy systems with a hierarchical structure can be controlled autonomously by applying the proposed method.