DOI:10.1007/s4056501803784 
 
 
Asynchronous consensus for optimal power flow control in smart grid with zero power mismatch 
 

 
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Authros:
Benjamin S. MILLAR1, Danchi JIANG1

Author Affiliation:
1. School of Engineering and ICT, University of Tasmania,Hobart, Australia

Foundation: 



Abstract: 
The heterogeneous nature of smart grid componentsand the desire for smart grids to be scalable, stable and respect customer privacy have led to the need for more distributed control paradigms. In this paper we provide a distributed optimal power flow solution for a smart distribution network with separable global costs, separable nonconvex constraints, and inseparable linear constraints, while considering important aspects of network operation such as distributed generation and load mismatch, and nodal voltage constraints. An asynchronous averaging consensus protocol is developed to estimate the values of inseparable global information. The consensus protocol is then combined with a fully distributed primal dual optimization utilizing an augmented Lagrange function to ensure convergence to a feasible solution with respect to power flow and power mismatch constraints. The presented algorithm uses only local and neighbourhood communication to simultaneously find the mismatch between power generation, line loss and loads, to calculate nodal voltages, and to minimize distributed costs, leading to a completely distributed solution of the global problem. An IEEE test feeder system with a reasonable number of nodes is used to illustrate the proposed method and efficiency 
Keywords: 
Consensus protocol, Cooperative system,
Distributed algorithm, Distributed control, Optimization, Smart grid 
 
Online Time:2018/05/10 
 


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