基于量子遗传算法的电网限流优化措施及应用  

Current Limiting Optimation Measure of Power Grid Based on Quantum Genetic Algorithm and Its Application

作　　者：谢旗辉 

机构地区：[1]上海合泽电力工程设计咨询有限公司,上海200433

出　　处：《电力与能源》2017年第5期554-559,共6页Power & Energy

摘　　要：短路电流水平过高的站点往往集中在少数的几个区域,可以通过等值减少限流措施配置优化问题的变量数和约束数,在此基础上提出了一种经济有效的综合限流措施配置优化方法。利用Ward等值方法对需要配置限流措施的电网进行等值,减小限流措施配置优化中的计算量,同时为了平衡有效限流和投资的经济性,分析了限流措施的经济成本和限流效果,建立了考虑限流效果和投资成本的限流措施配置优化多目标数学模型。介绍量子遗传算法的原理,提出了基于量子遗传算法求解限流措施配置优化模型的方法。以某地区电网为例,验证了所提方法的正确性和有效性。The locations of excessively high short-circuit current level are often concentrated in a few areas, and the number of problematic variables and constraints can be configured and optimized by the current limiting measures of the equivalent reduction. Thereupon, an economical and effective comprehensive current limiting measure is proposed. Configure the equivalent by means of Ward equivalent method for power grid current limiting, reduce the amount of calculation in current limiting measure configuration and optimization; meanwhile analyze the economic cost and current limiting effect of current limiting measures in order to balance between the current limiting effect and the investment economy; establish the multi objective mathematical model con sidering current limiting effect and the investment cost. It also introduces the principle of quantum genetic algo rithm （QGA） and proposes a QGA-based method to solve the current limiting measure optimation model. The cor- rectness and validity of the proposed method are verified by the example of the power grid in a certain region.

关 键 词：短路电流 限流措施 WARD等值 量子遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM73[自动化与计算机技术—控制科学与工程]