基于全局序列二次规划算法的无功优化

Reactive Power Optimization Based on Global Sequential Quadratic Programming Algorithm

为提高无功优化计算的收敛性和精确性,采用全局序列二次规划(SQP)算法来计算无功优化潮流.在优化的循环迭代过程中,电压相角和支路潮流并未当作常数看待,而是通过每次迭代后系统状态下的潮流计算重新获得的.对IEEE30节点系统进行无功优化仿真,结果表明全局SQP算法具有良好的收敛性和精确性.

To improve the convergence and accuracy in reactive power optimization, this paper proposed a global sequential quadratic programming （SQP） algorithm to calculate optimum power flow. In the iteration of optimization, the power flow of transmission lines and the angle of voltage are not taken as constant but obtained again from the power flow calculating after every iteration. Simulating in the IEEE30 bus system, the results show that the global sequential quadratic programming algorithm has favorable convergence and accuracy.