CAJ | 학술논문

人工鱼群算法总结出了鱼群的行为所具有的基本特点，并结合动物自治理论，提出了一种新型优化模型。通过鱼的觅食行为、群聚行为、追尾行为、随机行为这4种行为对人工鱼的活动属性进行了描述。通过建立无功优化的数学模型，并将人工鱼群算法应用在配电网的动态无功优化过程中，通过IEEE-30标准节点系统进行仿真，验证了该算法的稳定性和可靠性。
인공어군산법총결출료어군적행위소구유적기본특점，병결합동물자치이론，제출료일충신형우화모형。통과어적멱식행위、군취행위、추미행위、수궤행위저4충행위대인공어적활동속성진행료묘술。통과건립무공우화적수학모형，병장인공어군산법응용재배전망적동태무공우화과정중，통과IEEE-30표준절점계통진행방진，험증료해산법적은정성화가고성。
AFSA( artificial fish-swarm algorithm)is a new optimization method based on a series of instinctive be-haviors such as searching for food,bunching,AF-follow and random behavior combined with the animal autonomy theory. In this paper,AFSA was applied to the dynamic reactive power optimization in the distribution grid based on the established mathematical model of reactive power optimization. The simulation of the standard IEEE-30 node system verified the stability and reliability of the algorithm.