Decentralized Autonomous Control and Local Imbalance of Demand and Supply in Super Distributed Energy Systems

Abstract

This paper deals with an analytical study about a decentralized autonomous control strategy of a super-distributed energy system where small-scale dispersed generators such as micro gas turbines and fuel cells have a dominant. Using the dynamics of the Hopfield neural network model, it is proven that the proposed decentralized autonomous control strategy provides a stable ground state of the energy function of the Hopfield neural network, which state exactly corresponds to a state where local supply-and-demand balance is maintained.