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Distributed control scheme on cost optimisation under communication delays for DC microgrids
Author(s) -
Han Hua,
Wang Hao,
Sun Yao,
Yang Jian,
Liu Zhangjie
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1716
Subject(s) - control theory (sociology) , controller (irrigation) , distributed generation , scheme (mathematics) , linear matrix inequality , computer science , generator (circuit theory) , economic dispatch , voltage , stability (learning theory) , control (management) , engineering , electric power system , mathematical optimization , power (physics) , mathematics , renewable energy , electrical engineering , mathematical analysis , physics , quantum mechanics , artificial intelligence , machine learning , agronomy , biology
This study addresses the distributed economic dispatch problem for DC microgrids when time‐varying delays are present in communication networks. A novel distributed algorithm is proposed, and the proposed controller contains a distributed generation cost optimisation module and a voltage regulation module. The cost optimisation module is aimed to realise cost optimisation by driving the incremental cost rate of every distributed generator to be equal. In the voltage regulation module, a distributed synchronisation algorithm is used to restore the global average voltage. After the effect of the communication delay on the system stability is analysed, the robust stability criticality under load changes is obtained by using linear matrix inequality. The performance of the proposed scheme is validated through simulations and experimentally.

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