Real-time microgrid economic dispatch based on model predictive control strategy

doi:10.1007/s40565-017-0265-4

Home > Archive>Volume 5, Issue 5, 2017 >787-796. DOI:10.1007/s40565-017-0265-4

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Real-time microgrid economic dispatch based on model predictive control strategy

DOI:

10.1007/s40565-017-0265-4

Author:

Yan DU
Yan DU
1 Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China
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Wei PEI
Wei PEI
University of Chinese Academy of Sciences, Beijing 100049, China
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Naishi CHEN
Naishi CHEN
China Electric Power Research Institute, Beijing 100192, China
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Xianjun GE
Xianjun GE
China Electric Power Research Institute, Beijing 100192, China
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Hao XIAO
Hao XIAO
University of Chinese Academy of Sciences, Beijing 100049, China
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Affiliation:

1 Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 China Electric Power Research Institute, Beijing 100192, China

Fund Project:

This work was supported by the National Natural Science Foundation of China (No. 51277170) and the National Key Basic Research Program of China (No. 2012CB215204).

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Abstract:

To deal with uncertainties of renewable energy, demand and price signals in real-time microgrid operation, this paper proposes a model predictive control strategy for microgrid economic dispatch, where hourly schedule is constantly optimized according to the current system state and latest forecast information. Moreover, implicit network topology of the microgrid and corresponding power ?ow constraints are considered, which leads to a mixed integer nonlinear optimal power ?ow problem. Given the nonconvexity feature of the original problem, the technique of conic programming is applied to ef?ciently crack the nut. Simulation results from a reconstructed IEEE-33 bus system and comparisons with the routine day-ahead microgrid schedule suf?ciently substantiate the effectiveness of the proposed MPC strategy and the conic programming method.

Key words:Conic programming, Economic dispatch (ED), Microgrid, Mixed-integer nonlinear programming (MINLP), Model predictive control (MPC), Optimal power ﬂow (OPF)

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Online: September 15,2017
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