Study on Quantum Genetic Optimal Algorithm of Three PhaseUnbalanced Load in Microgrid
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(College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

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    Abstract:

    In order to solve microgrid ubiquitous threephase load imbalance, a detailed analysis of the microgrid threephase unbalanced load characteristics, a new method for the calculation of threephase load microgrid was proposed, and used an improved quantum genetic algorithm the model optimization solution. Quantum optimization algorithms used in the introduction of double chain structure and dynamics of the rotation angle adjustment strategy proposes a new improved quantum genetic algorithm, obtained the right solution and solve to obtain access to the best threephase load program. Finally, an example demonstrated the effectiveness and feasibility of the proposed model, strategies and algorithms.

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CHENG Qiming, HUANG Shan, ZHANG Qiang, ZHU Siyuan, YANG Xiaolong. Study on Quantum Genetic Optimal Algorithm of Three PhaseUnbalanced Load in Microgrid[J]. Electric Machines & Control Application,2017,44(5):56-62.

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  • Online: December 09,2019
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