Open AccessHierarchical optimisation strategy in microgrid based on the consensus of multi‐agent system
Author(s) -
Hao Ran,
Jiang Ziqing,
Ai Qian,
Yu Zhiwen,
Zhu Yuchao
Publication year - 2018
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.2017.0393
Subject(s) - microgrid , scheduling (production processes) , computer science , economic dispatch , process (computing) , decentralised system , electric power system , control (management) , control engineering , distributed computing , mathematical optimization , power (physics) , engineering , physics , mathematics , quantum mechanics , artificial intelligence , operating system
To improve the automation level of distributed generation, a hierarchical optimisation strategy is proposed in this study. The strategy consists of day‐ahead dispatch and scheduling implementation by power control. The energy management framework about the multi‐agent system is also designed. Given the collaborative gaming process between microgrid and distributed network, a day‐ahead dispatch is used to minimise the general expenses. Moreover, considering security constraints, the secondary control strategy is proposed to realise the precise control of the active power, which is adaptive to voltage inconsistency. Besides, the consensus algorithm is utilised to trace the dispatch target of tie‐line power by monitoring power deviation at the point of common coupling. Finally, a series of simulation verifies the effectiveness of the method proposed. The influence of communication delay is also discussed.