A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet

Bingke Yan, Bo Wang, Lin Zhu, Hesen Liu, Yilu Liu, Xingpei Ji and Dichen Liu
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Bingke Yan: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Bo Wang: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Lin Zhu: Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN 37996, USA
Hesen Liu: Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN 37996, USA
Yilu Liu: Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN 37996, USA
Xingpei Ji: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Dichen Liu: School of Electrical Engineering, Wuhan University, Wuhan 430072, China

Energies, 2015, vol. 8, issue 11, 1-24

Abstract: With a higher penetration of distributed generation in the power system, the application of microgrids is expected to increase dramatically in the future. This paper proposes a novel method to design optimal droop coefficients of dispatchable distributed energy resources for a microgrid in the Energy Internet considering the volatility of renewable energy generation, such as wind and photovoltaics. The uncertainties of renewable energy generation are modeled by a limited number of scenarios with high probabilities. In order to achieve stable and economical operation of a microgrid that is also suitable for plug-and-play distributed renewable energy and distributed energy storage devices, a multi-objective optimization model of droop coefficients compromising between operational cost and the integral of time-weighted absolute error criterion is developed. The optimization is solved by using a differential evolution algorithm. Case studies demonstrate that the economy and transient behavior of microgrids in the Energy Internet can both be improved significantly using the proposed method.

Keywords: microgrid; energy internet; plug-and-play; multi-objective optimization; integral of time-weighted absolute error (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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