Controlled Splitting Surface Searching Strategy Based on Intelligent Algorithm under Energy Internet

Controlled splitting is an important measure to ensure the safety of the Energy Internet. An improved ant colony optimization algorithm is proposed in order to reduce the high complexity of the solution process in this paper. Firstly, establish a mathematic model for controlled splitting surface sea...

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Bibliographic Details
Published in2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) pp. 1547 - 1551
Main Authors Zhang, Chi, Du, Nianchun, Zeng, Xiao, Zhang, Tongyan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2020
Subjects
ant colony algorithm
Clustering algorithms
connectivity constraint
controlled splitting
Generators
Linear programming
Load flow
non-deterministic polynomial problem
Power grids
Search problems
surface searching
Surface treatment
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Summary:Controlled splitting is an important measure to ensure the safety of the Energy Internet. An improved ant colony optimization algorithm is proposed in order to reduce the high complexity of the solution process in this paper. Firstly, establish a mathematic model for controlled splitting surface searching and map it to ant colony optimization algorithm with a single objective function and multiple constraints. Then, based on the connectivity constraint, the optimal controlled islanding solution can be obtained. Simulation results of IEEE 118-bus system verify the effectiveness and rapidity of the proposed method.
DOI:10.1109/ICPSAsia48933.2020.9208480