The Design and Application of Microgrid Supervisory System for Commercial Buildings Considering Dynamic Converter Efficiency

Wenshuai Bai (), Dian Wang, Zhongquan Miao, Xiaorong Sun, Jiabin Yu, Jiping Xu and Yuqing Pan
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Wenshuai Bai: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Dian Wang: Department of Energy Internet Research, State Grid Energy Research Institute, Beijing 102209, China
Zhongquan Miao: Department of Energy Internet Research, State Grid Energy Research Institute, Beijing 102209, China
Xiaorong Sun: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Jiabin Yu: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Jiping Xu: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Yuqing Pan: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China

Sustainability, 2023, vol. 15, issue 8, 1-21

Abstract: This paper presents a supervisory system that considers converter efficiency for local microgrids of commercial buildings to solve the uncertainty problem of the sources and loads while also optimizing local microgrid operating costs and maintaining power supply quality for commercial buildings. The supervisory system includes an energy management layer and a power management layer. In the energy management layer, a long-term optimization approach is used to reduce the operating costs by considering the dynamic converter efficiency. In the power management layer, a real-time power optimization method is structured to deal with the uncertainty problem of the sources and loads, and to ensure that the direct current bus power is balanced while also guaranteeing the power quality by considering the dynamic converter efficiency. Four cases are proposed for the supervisory system, and these cases are simulated in MATLAB/Simulink under three typical weather conditions: cloud, sunshine, and rain. The comparison of simulation results for cases 1 and 2 illustrates the impact of converter efficiency on energy coordination in microgrids. The simulation results of cases 3 and 4 verify that the performance—in terms of the power supply quality and the operating costs—of the proposed microgrid supervisory system considering dynamic converter efficiency outperforms that of the microgrid supervisory system considering fixed converter efficiency.

Keywords: commercial building; microgrid; supervisory system; converter efficiency (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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