An Improved Secondary Control Strategy for Dynamic Boundary Microgrids toward Resilient Distribution Systems
Yijun Wang,
Jiaju Shi,
Nan Ma,
Guowei Liu,
Lisheng Xin,
Ziyu Liu,
Dafu Liu,
Ziwen Xu and
Chen Chen ()
Additional contact information
Yijun Wang: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Jiaju Shi: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Nan Ma: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Guowei Liu: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Lisheng Xin: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Ziyu Liu: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Dafu Liu: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Ziwen Xu: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Chen Chen: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Energies, 2024, vol. 17, issue 7, 1-15
Abstract:
In order to achieve the flexible and efficient utilization of distributed energy resources, microgrids (MGs) can enhance the self-healing capability of distribution systems. Conventional primary droop control in microgrids exhibits deviations in voltage and frequency and lacks research on voltage–frequency control during network reconfiguration. Therefore, this paper investigates the control strategy of secondary control for voltage and frequency during the process of reconstructing distribution networks to operate in the form of microgrids after faults. Firstly, the mathematical model of three-phase voltage-source inverters with droop control is analyzed. Then, inspired by the generator’s secondary frequency control strategy, an improved secondary control method based on droop control is proposed, and the effectiveness of the improved droop control strategy is verified. Finally, simulation examples of distribution networks with various dynamic boundary topology changes are designed to simulate a relatively stable control result, validating the proposed strategy.
Keywords: droop control; secondary control; dynamic boundary; distribution network (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: 2024
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