Annular Directed Distributed Algorithm for Energy Internet

This article investigates an annular directed distributed double optimal algorithm to manage many we-energy frameworks in energy management of Internet (EI). The (WE) is integrated hub containing varied devices different functions including multi-energy production, consumption, and conversion. On this basis, all WE models cooperate search for a minimum value objective function. Energy EI has two main goals. the one hand, it needs attain optimality economy with influence about fluctuation renewable randomness terminal users. other should protect privacy users well. Besides, discovering oscillation near convergence point, also decrease communication frequency refraining Zeno behavior. behavior means some operation triggered infinite times finite iteration. For realizing these proposes, literature establishes system that transfers cyber information path. adopts novel double-control price guiding strategy. In addition, employs methods alternating direction method multipliers Newton-downhill optimize reach convergence, respectively. Meanwhile, small positive constant w avoid performance demonstrated through simulation results. Moreover, optimality, analysis, avoiding behaviors are strictly proved by convex optimization monotone-bounded theorem.