电机与控制应用2017，Vol.44Issue(5)：56-62,7.
微电网三相负荷不平衡的量子遗传优化算法研究
Study on Quantum Genetic Optimal Algorithm of Three Phase Unbalanced Load in Microgrid
摘要
Abstract
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.关键词
微电网/三相负荷不平衡/量子遗传算法/双链结构/动态旋转角调整/优化运行Key words
microgrid/three-phase unbalanced load/quantum genetic algorithm/double-stranded structure/dynamic rotation angle adjustment/optimal operation分类
信息技术与安全科学引用本文复制引用
程启明,黄山,张强,褚思远,杨小龙..微电网三相负荷不平衡的量子遗传优化算法研究[J].电机与控制应用,2017,44(5):56-62,7.基金项目
国家自然科学基金(61304134) （61304134）
上海市重点科技攻关计划(14110500700) （14110500700）
上海市电站自动化技术重点实验室(13DZ2273800) （13DZ2273800）
