摘要
提出了基于人工鱼群优化算法(AFSA)的最优潮流(OPF)计算方法;算法结合动态调整罚函数的方式,将最优潮流问题转化为一个无约束求极值问题,有效提高了算法的全局收敛能力和计算精度。应用此算法对标准IEEE30节点的电力系统进行最优潮流计算,并与粒子群算法和遗传算法进行了比较,仿真结果表明,该算法能够更好地获得全局最优解,具有实用意义。
A new algorithm is presented to solve OPF problem using AFSA technique in this paper. Incorporation of nonstationary assignment penalty function in solving OPF problem can significantly improve the convergence and accuracy of AFSA. The proposed AFSA method is demonstrated and compared with PSO approach and GA approach on the standard IEEE 30-bus system. The investigations reveal that the proposed method is efficient in solving OPF problem.
出处
《电工电能新技术》
CSCD
北大核心
2006年第4期30-33,66,共5页
Advanced Technology of Electrical Engineering and Energy
关键词
人工鱼群算法
最优潮流计算
动态调整罚函数法
artificial fish school algorithm （AFSA）
non-stationary multi-stage assignment penalty function
optimal power flow（OPF）
