What is it about?

To improve the automation level of distributed generation, a hierarchical optimization strategy is proposed in this paper. The strategy consists of day-ahead dispatch and scheduling implementation by power control. The energy management framework about multi-agent system is also designed. A series of simulation verifies the effectiveness of the method proposed. The influence of communication delay is discussed.

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Why is it important?

This paper proposes a hierarchical optimization strategy for MG. This strategy is composed of economic dispatch and the synergetic control strategy based on consensus algorithm. It has the following advantages compared with the traditional method. Firstly, the new framework of MG based on MAS combines the advantages of centralized or distributed structure. Secondly, this paper takes the minimum cost of ADN and MG as the primary goal. not only does internal dispatch of MG reduce the operation cost effectively, but also CGA helps coordinate the benefits of MG and ADN. Finally, a secondary synergetic control is applied. The problem of premise control of active power is solved properly. Moreover, the tie-line power control strategy realizes the coordinated response to stochastic power fluctuation. The combination of two distributed control strategies enhances the economy and safety in MG.

Perspectives

This strategy significantly improves the automatic power generation capacity of MG. However, the model of the day-ahead dispatch request for high precision. This strategy can’t guarantee the system’s economy of the in large disturbances, which needs real-time dispatch correction. Thus, the correction mechanism will be the focus in the future work.

Ran Hao
Shanghai Jiao Tong University

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This page is a summary of: A Hierarchical Optimization Strategy in Microgrid Based on the Consensus of Multi-agent System , IET Generation Transmission & Distribution, February 2018, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-gtd.2017.0393.
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