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- W2010116448 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." @default.
- W2010116448 created "2016-06-24" @default.
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- W2010116448 date "2006-10-01" @default.
- W2010116448 modified "2023-09-25" @default.
- W2010116448 title "Hierarchical Decentralized Autonomous Control in Super-Distributed Energy System" @default.
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- W2010116448 doi "https://doi.org/10.1109/icsmc.2006.384476" @default.
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