Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
