摘要
将模糊集理论和非线性原－ 对偶路径跟踪内点法应用于求解具有可伸缩约束的多目标最优潮流问题，选择合适的加速因子以改善算法的收敛性，并与单目标非线性最优潮流问题的计算结果进行了比较。对几个试验系统的计算表明，该算法具有稳定的收敛性能，优化结果精确，灵活方便，处理变量不等式约束和函数不等式约束的能力很强。
Fuzzy set theory and nonlinear primal-dual path following interior point method is used for solving multiobjective optimal power flow problem with soft constraints. By selecting suitable acceleration factor the convergence is improved. Furthermore, the results of multiobjective fuzzy optimization are compared with the ones of nonlinear optimal flow problem with single object function. The results of several test systems show that this proposed algorithm has stable convergence, good optimization accuracy, flexibility, strong ability to deal with variable and function inequality constrains, and is suitable for solving multiobjective optimization problem of large scale power system.
出处
《电网技术》
EI
CSCD
北大核心
1999年第9期23-26,31,共5页
Power System Technology
关键词
最优潮流
内点算法
多目标优化
电力系统
multiobjective
optimal power flow
fuzzy set theory
interior point algorithm
