微电网三相负荷不平衡的量子遗传优化算法研究

摘要

In order to solve microgrid ubiquitous three-phase load imbalance,a detailed analysis of the microgrid three-phase unbalanced load characteristics,a new method for the calculation of three-phase 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 three-phase load program.Finally,an example demonstrated the effectiveness and feasibility of the proposed model,strategies and algorithms.%为了解决微电网中普遍存在的三相负荷不平衡问题,详细分析了微电网三相负荷不平衡特征,提出了一种新的微电网三相负荷计算方法,并采用了改进型量子遗传算法对模型进行优化求解.所用的量子优化算法中引入了双链式结构和动态旋转角调整策略,提出了一种新的改进型量子遗传算法,并求解得出合适的解,从而获得最优的三相负荷接人方案.最后通过算例仿真验证了所提模型、策略和算法的有效性和可行性.