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Open Access

Optimal Active Power Dispatching of Microgrid and Distribution Network Based on Model Predictive Control

Yang Li, Xinwen Fan, Zhiyuan Cai( ), Bing Yu
Shenyang University of Technology, Shenyang 110870, China.
Beijing University of Posts and Telecommunications, Beijing 100876, China.
Beijing Jiaotong University, Beijing 100044, China.
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Abstract

First, a three-tier coordinated scheduling system consisting of a distribution network dispatch layer, a microgrid centralized control layer, and local control layer in the energy internet is proposed. The multi-time scale optimal scheduling of the microgrid based on Model Predictive Control (MPC) is then studied, and the optimized genetic algorithm and the microgrid multi-time rolling optimization strategy are used to optimize the datahead scheduling phase and the intra-day optimization phase. Next, based on the three-tier coordinated scheduling architecture, the operation loss model of the distribution network is solved using the improved branch current forward-generation method and the genetic algorithm. The optimal scheduling of the distribution network layer is then completed. Finally, the simulation examples are used to compare and verify the validity of the method.

Keywords

microgridmodel predictive controloptimal active power dispatchingcoordination control

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Tsinghua Science and Technology
Volume 23 Issue 3,
June 2018
Pages 266-276
DOI: 10.26599/TST.2018.9010083
Cite this article:
Li Y, Fan X, Cai Z, et al. Optimal Active Power Dispatching of Microgrid and Distribution Network Based on Model Predictive Control. Tsinghua Science and Technology, 2018, 23(3): 266-276. https://doi.org/10.26599/TST.2018.9010083

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Received: 15 January 2018
Revised: 28 February 2018
Accepted: 10 March 2018
Published: 02 July 2018
© The author(s) 2018
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