摘要
针对负荷恢复是一个多约束、非线性的多目标优化问题,在综合考虑多负荷点恢复优化及电压、频率、机组出力等多个约束条件的基础上,建立了负荷恢复优化模型,通过参数初始化、适应值函数等措施对蛙跳算法进行改进,然后对模型进行求解得出电力系统最大允许负荷恢复量,最后通过IEEE-19节点系统进行验证,结果表明了该算法的有效性、可行性.
After largescale blackout,the load＇s comprehensive and quick recovery problem will become a multiconstrained,nonlinear multiobjective recovery and optimization problem.The paper takes account of load multipoints＇ recovery and optimization,voltage,frequency,the output of generating unit and other constraints to propose a load recovery and optimization method based on shuffled frogleaping algorithm（SFLA）.Under the method,the paper uses the measure of parameter initialization,fitness function to get the maximum allowable load recovery quantity of electric power system,and through the IEEE-19 node-system the algorithm effectiveness and feasibility are proved.
出处
《湖北民族学院学报（自然科学版）》
CAS
2015年第1期72-75,共4页
Journal of Hubei Minzu University(Natural Science Edition)
关键词
电网网架
负荷恢复
约束条件
蛙跳算法
network structure
load restoration
constraints
SFLA algorithm
