摘要
求解最优潮流是一项基本而重要的工作。文中将信赖域方法与增广Lagrangian函数方法相结合,提出了一种新的优化算法,并应用该方法进行电力系统最优潮流的计算。将最优潮流问题转化为增广Lagrangian函数,并采用信赖域方法求解增广Lagrangian函数子问题。对系统规模从14节点到300节点的5个IEEE电力系统数值计算并与非线性原-对偶内点法比较,计算结果表明,该算法具有强收敛性与稳定性。
It is a fundamental and important work to solve the optimal power flow problem in the electricity industry. For the purpose, a novel optimization algorithm, which combines the trust region method and augmented Lagrangian method, is proposed. The optimal power flow problems are converted into augmented Lagrangian problems. The trust region method solves the unconstrained optimization subproblems. Under the piecewise cost objection function, numerical results of five IEEE test systems ranging in size from 14 to 300 buses are presented. Comparisons with the nonlinear primal-dual interior point method are also provided to demonstrate that the algorithm is with strong convergence and robustness.
出处
《微计算机信息》
2010年第27期15-17,共3页
Control & Automation
