共轭梯度法是最优化中最常用的方法之一，它具有算法简便、不需要矩阵存储等优点，十分适合于大规模优化问题。

Conjugate gradient method, which can be easily computed and requires no matrix storage, is one of the most popular and useful method for solving large scale optimization problems.

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共轭梯度法是求解最优化问题的一类有效算法。

Conjugate gradient methods are important iterative methods for solving optimization problems.

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通过计算发电机转速和无功补偿节点电压变化量对各控制器参数的轨迹灵敏度，获得目标函数对各控制器参数的梯度，以便于用共轭梯度法寻找最优解。

Trajectory sensitivity approach is used to assess the gradient of the PSS and SVC parameters on the objective function and then conjugate gradient approach is applied to find the optimum solution.

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