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

作　　者：程启明[1] 黄山[1] 张强[1] 褚思远 杨小龙[1] 

机构地区：[1]上海电力学院自动化工程学院,上海200090

出　　处：《电机与控制应用》2017年第5期56-62,共7页Electric machines & control application

基　　金：国家自然科学基金(61304134);上海市重点科技攻关计划(14110500700);上海市电站自动化技术重点实验室(13DZ2273800)

摘　　要：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入方案。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。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 

分 类 号：TM734[电气工程—电力系统及自动化]