A two-stage dynamic fault recovery method for an active distribution network considering the node price mechanism
DOI：DOI: 10.19783/j.cnki.pspc.191441
Key Words:active distribution network  fault recovery  node price  two-stage optimization  demand response
Author NameAffiliation
JING Hao, JIA Boyan, LI Xiaoyu, LI Fan, ZHANG Zizi, JI Yanpeng State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China 
JIA Boyan State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China 
LI Xiaoyu State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China 
LI Fan State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China 
ZHANG Zizi State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China 
JI Yanpeng State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China 
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Abstract:Given the problem of active distribution network fault recovery with distributed energy connected, a fault recovery method for an active distribution network based on two-stage optimization is proposed considering the node price mechanism. In the first stage of the proposed method, the switch state set is taken as the control variable, the minimum loss load value is regarded as the objective function, and the necessary constraints such as power balance and network topology radial constraints are taken into account. In the second stage, the mechanism of node price formulation and the negative load response model are established first, taking the Lagrange multipliers of branch capacity constraints which determine the node price plan as the control variables and the minimum over limit of branch capacity as the objective function. The model is established considering the constraints of the node pricing mechanism. Finally, a simulation example shows that the index of an active distribution network fault recovery scheme with the node price mechanism is better than that without consideration. This shows that the model can reduce load loss and improve the reliability of the system during the fault recovery period. This work is supported by Science and Technology Project of State Grid Corporation of China (No. kj2019-066) “Application Technique Research on Intelligent Sense Recognition of Power Distribution Equipment”.
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