A situation awareness method based on advanced inverter with microgrid power flowalgorithm
DOI：10.7667/PSPC171513
Key Words:microgrid  situation awareness  advanced inverter  Jacobian matrix  singular value decomposition
Author NameAffiliation
XIAO Xiangxiang College of Information Engineering, Xiangtan University, Xiangtan 411100, China
Cooperative Innovation Center of Wind Power Equipment and Energy Conversion, Xiangtan 411100, China 
DUAN Bin College of Information Engineering, Xiangtan University, Xiangtan 411100, China
Cooperative Innovation Center of Wind Power Equipment and Energy Conversion, Xiangtan 411100, China 
CHEN Mingjie Cooperative Innovation Center of Wind Power Equipment and Energy Conversion, Xiangtan 411100, China 
PENG Hanmei College of Information Engineering, Xiangtan University, Xiangtan 411100, China 
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Abstract:In order to realize the normal and continuous power supply, the awareness of power flow in microgrid region is paid attention. With the rapid development of distributed energy sources, the challenge of microgrid stability is more severe than before. The key to solve this problem is how to take action before the appearance of the abnormal situation and lead to adjust the microgrid to maintain a steady state based on the microgrid system awareness, perception and prediction. This paper proposes a method of microgrid situation awareness using advanced microgrid converter. It takes the microgrid system for power flow calculation, obtaining the corresponding Jacobian matrix under different conditions. Singular value decomposition of microgrid power flow Jacobian matrix of the introduced load forecasting model is made, obtaining the system stability condition. It selects the appropriate operation mode of advanced inverter and maintains system stability by early prediction to achieve microgrid situation awareness and the optimal operation mode, providing more ways and means for microgrid stability. This work is supported by National Natural Science Foundation of China (No. 61379063).
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