Event-triggered dynamic consistency algorithm based feeder load balancing control strategy
DOI：10.19783/j.cnki.pspc.240895
Key Words:flexible interconnected distribution network  improved voltage droop control  event-triggered  dynamic consistency algorithm  load balancing
Author NameAffiliation
LUO Jialong1 1. College of Electrical Engineering, Guizhou University, Guiyang 550000, China
2. Faculty of Science and Technology & State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China 
FU Xiaofan1 1. College of Electrical Engineering, Guizhou University, Guiyang 550000, China
2. Faculty of Science and Technology & State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China 
YUAN Xufeng1 1. College of Electrical Engineering, Guizhou University, Guiyang 550000, China
2. Faculty of Science and Technology & State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China 
ZHANG Jing1 1. College of Electrical Engineering, Guizhou University, Guiyang 550000, China
2. Faculty of Science and Technology & State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China 
XIONG Guojiang1 1. College of Electrical Engineering, Guizhou University, Guiyang 550000, China
2. Faculty of Science and Technology & State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China 
WONG Manchung2 1. College of Electrical Engineering, Guizhou University, Guiyang 550000, China
2. Faculty of Science and Technology & State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China 
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Abstract:With the large-scale integration of intermittent new energy and diverse flexible loads, the imbalance between feeders has intensified. To achieve feeder load balancing and stabilize DC voltage, an event-triggered dynamic consistency algorithm based feeder load balancing control strategy is proposed. First, the event-triggered dynamic consistency algorithm is designed to calculate the relevant state variables, which avoids centralized information processing. Second, a power calculation module and a power update module for feeder load balancing control are designed, enabling distributed feeder load balancing. Then, the droop characteristic curve and power reference value are improved based on voltage droop control to achieve zero-error tracking of the DC voltage. Finally, a four-terminal MMC flexible interconnected distribution network is developed on the PSCAD/EMTDC platform to verify the effectiveness of the proposed control strategy. Simulation results show that the proposed control strategy can rapidly balance the feeder loads, enhance the reliability of DC voltage control, and reduce system communication volume.
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