航海家优化算法在电力系统最优潮流计算中的应用  

Application of Navigator Optimization Algorithm in Optimal Power Flow Calculation of Power System

作　　者：栗然[1] 张凡[1] 靳保源 

机构地区：[1]华北电力大学电气与电子工程学院,河北省保定市071003

出　　处：《电力建设》2017年第6期7-14,共8页Electric Power Construction

摘　　要：受15、16世纪地理大发现中航海家探险行为的启发,提出了一种新型元启发式智能算法——航海家优化算法(navigator optimization algorithm,NOA)来求解电力系统的最优潮流。新算法中定义了搜寻周期的概念,通过较好地平衡迭代过程中"搜索"和"利用"的程度,可以实现更好的寻优性能。将所提出算法用于IEEE 30和IEEE 118节点系统的最优潮流计算,并与现存的其他智能算法进行比较,验证了所提出算法的优越性。该算法对于实际电力系统的规划和运行具有一定的参考意义。Inspired by the exploratory behavior of navigators in Age Discovery in fifteenth and sixteenth centuries, this paper proposes a novel meta-heuristic intelligent algorithm, called navigator optimization algorithm （NOA） to solve the optimal power flow problem for power system. The concept of ＂search cycle＂ is put forward in the new algorithm to balance the degree of ＂ search＂ and ＂exploitation＂ in iterative process and can achieve better optimization performance. The proposed algorithm is applied to the optimal power flow calculation of IEEE 30-bus and IEEE ll8-bus system and the superiority of NOA is verified by comparing the simulation results with some other intelligent algorithms. The new algorithm will have a certain reference value for the planning and operation of real power system.

关 键 词：航海家优化算法(NOA) 最优潮流 搜索 利用 

分 类 号：TM744[电气工程—电力系统及自动化]