Virtual generation tribe based robust collaborative consensus algorithm for dynamic generation command dispatch optimization of smart grid

Xiaoshun Zhang, Tao Yu, Bo Yang and Li Li

Energy, 2016, vol. 101, issue C, 34-51

Abstract: This paper proposes a decentralized collaborative control framework of autonomous VGT (virtual generation tribe) for smart grid. A VGT-CCA (VGT based collaborative consensus algorithm) is firstly developed to solve the dynamic GCD (generation command dispatch) optimization of the AGC (automatic generation control) under an ideal communication network. Then a novel CCA VGT-RCCA (VGT based robust CCA) is designed by introducing the consensus gain functions and virtual consensus variables, which provides significant robustness to a practical communication network consisted with switching topology, transmission delay and noise. The performance of VGT-CCA and VGT-RCCA has been evaluated on a typical two-area load frequency control model and the China southern power grid model, respectively. Simulation results verify the effectiveness of the proposed algorithms.

Keywords: Virtual generation tribe; Decentralized collaborative control; Robust collaborative consensus algorithm; Virtual consensus variable; Consensus gain function (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:101:y:2016:i:c:p:34-51

DOI: 10.1016/j.energy.2016.02.009

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