A Fast and Accurate Self-Healing Scheme for Intelligent Distribution Networks Using Mixed Integer Linear Programming

Fast and accurate self-healing after faults is an important way to improve the reliability of distribution networks. To improve the self-healing speed and accuracy of distribution networks, this paper proposes a fast and accurate self-healing scheme for distribution networks using mixed integer line...

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Vydáno v:IEEE access Ročník 12; s. 1
Hlavní autoři: Lu, Jiangang, Su, Junni, Zhao, Ruifeng, Chen, Fengchao, Wang, Qiujie, Yan, Wei
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
5G communication
5G mobile communication
Accuracy
Delays
Distribution network
Distribution networks
Fault currents
Fault location
fault recovery
Integer programming
Linear programming
Location awareness
Mixed integer
Mixed integer linear programming
Network reliability
Power supplies
self-healing
Transformations (mathematics)
ISSN:2169-3536, 2169-3536
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Abstract Fast and accurate self-healing after faults is an important way to improve the reliability of distribution networks. To improve the self-healing speed and accuracy of distribution networks, this paper proposes a fast and accurate self-healing scheme for distribution networks using mixed integer linear programming. Firstly, this method constructs a centralized 5G communication network architecture, which can effectively reduce the communication delay during the self-healing process. Secondly, the principle of logical algebraic transformation is utilized to linearize the switch function in the fault location model, thereby achieving equivalent transformation of the fault location model. Thirdly, using the polyhedral approximation method, the mixed integer second-order cone programming of the power supply recovery model is transformed into a mixed integer linear programming. The proposed method was validated by distribution network systems with different nodes in MATLAB/Simulink, and the results showed that the proposed method significantly improved self-healing speed and accuracy.
AbstractList Fast and accurate self-healing after faults is an important way to improve the reliability of distribution networks. To improve the self-healing speed and accuracy of distribution networks, this paper proposes a fast and accurate self-healing scheme for distribution networks using mixed integer linear programming. Firstly, this method constructs a centralized 5G communication network architecture, which can effectively reduce the communication delay during the self-healing process. Secondly, the principle of logical algebraic transformation is utilized to linearize the switch function in the fault location model, thereby achieving equivalent transformation of the fault location model. Thirdly, using the polyhedral approximation method, the mixed integer second-order cone programming of the power supply recovery model is transformed into a mixed integer linear programming. The proposed method was validated by distribution network systems with different nodes in MATLAB/Simulink, and the results showed that the proposed method significantly improved self-healing speed and accuracy.
Author Wang, Qiujie
Su, Junni
Chen, Fengchao
Lu, Jiangang
Yan, Wei
Zhao, Ruifeng
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  organization: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China
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SubjectTerms 5G communication
5G mobile communication
Accuracy
Delays
Distribution network
Distribution networks
Fault currents
Fault location
fault recovery
Integer programming
Linear programming
Location awareness
Mixed integer
Mixed integer linear programming
Network reliability
Power supplies
self-healing
Transformations (mathematics)
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Title A Fast and Accurate Self-Healing Scheme for Intelligent Distribution Networks Using Mixed Integer Linear Programming
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